This is a note experimenting on the inconsistency issue of LIME and how BayLIME (with 3 options) improves on it¶
In [1]:
import sys
sys.path.append("..")# allow the notebook to find the parent folder
from sklearn.datasets import load_boston,load_breast_cancer
import sklearn.ensemble
import sklearn.linear_model
import sklearn.model_selection
import numpy as np
from sklearn.metrics import r2_score
np.random.seed(1)
import lime
import lime.lime_tabular
from lime import submodular_pick
from lime import calculate_posteriors
import csv
import math
#load example dataset
boston = load_boston()
#cancer= load_breast_cancer()
#print a description of the variables
print(boston.DESCR)
#print(cancer.DESCR)
#train a regressor
rf = sklearn.ensemble.RandomForestRegressor(n_estimators=1000)
train, test, labels_train, labels_test = sklearn.model_selection.train_test_split(boston.data, boston.target, train_size=0.80, test_size=0.20)
rf.fit(train, labels_train);
#train a classifier
# rf = sklearn.ensemble.RandomForestClassifier(n_estimators=1000)
# train, test, labels_train, labels_test = sklearn.model_selection.train_test_split(cancer.data, cancer.target, train_size=0.80, test_size=0.20)
# rf.fit(train, labels_train);
.. _boston_dataset:
Boston house prices dataset
---------------------------
**Data Set Characteristics:**
:Number of Instances: 506
:Number of Attributes: 13 numeric/categorical predictive. Median Value (attribute 14) is usually the target.
:Attribute Information (in order):
- CRIM per capita crime rate by town
- ZN proportion of residential land zoned for lots over 25,000 sq.ft.
- INDUS proportion of non-retail business acres per town
- CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
- NOX nitric oxides concentration (parts per 10 million)
- RM average number of rooms per dwelling
- AGE proportion of owner-occupied units built prior to 1940
- DIS weighted distances to five Boston employment centres
- RAD index of accessibility to radial highways
- TAX full-value property-tax rate per $10,000
- PTRATIO pupil-teacher ratio by town
- B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
- LSTAT % lower status of the population
- MEDV Median value of owner-occupied homes in $1000's
:Missing Attribute Values: None
:Creator: Harrison, D. and Rubinfeld, D.L.
This is a copy of UCI ML housing dataset.
https://archive.ics.uci.edu/ml/machine-learning-databases/housing/
This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.
The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic
prices and the demand for clean air', J. Environ. Economics & Management,
vol.5, 81-102, 1978. Used in Belsley, Kuh & Welsch, 'Regression diagnostics
...', Wiley, 1980. N.B. Various transformations are used in the table on
pages 244-261 of the latter.
The Boston house-price data has been used in many machine learning papers that address regression
problems.
.. topic:: References
- Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. 244-261.
- Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.
In [2]:
# generate an "explainer" object
categorical_features = np.argwhere(np.array([len(set(boston.data[:,x])) for x in range(boston.data.shape[1])]) <= 10).flatten()
explainer = lime.lime_tabular.LimeTabularExplainer(train, feature_names=boston.feature_names,
class_names=['price'], categorical_features=categorical_features,
verbose=False, mode='regression',
discretize_continuous=False,feature_selection='none',
sample_around_instance=False)
# An example of classifier, rather than regressor...
# categorical_features = np.argwhere(np.array([len(set(cancer.data[:,x])) for x in range(cancer.data.shape[1])]) <= 10).flatten()
# explainer = lime.lime_tabular.LimeTabularExplainer(train, feature_names=cancer.feature_names,
# categorical_features=categorical_features,
# class_names=cancer.target_names,
# verbose=False, mode='classification',
# discretize_continuous=False,
# feature_selection='none')
#generate an explanation for testing..
instance = 3
#use rf.predict_proba for classfication
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='Bay_non_info_prior',
num_samples=100,
#labels=labels_test[i],
)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior'
exp.show_in_notebook(show_table=True)
#fig = exp.as_pyplot_figure(label=1)
print(exp.as_list())
#fig = exp.as_pyplot_figure(label=2)
using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2821837772437905 the lambda is 0.5487903510433139 the regulation term lambda/alpha is 1.9447976648536767
[('LSTAT', -3.7117749701142193), ('RM', 1.8850031611392262), ('DIS', -1.0574761832021675), ('INDUS', -0.7839854507722949), ('TAX', -0.7446005752975973), ('NOX', -0.5775207670268152), ('CRIM', 0.5404029713137755), ('AGE', -0.40338448542779126), ('CHAS=0', -0.3850283021298633), ('RAD=4', -0.3007915034372075), ('B', -0.2110945112354009), ('ZN', -0.12024413153519864), ('PTRATIO', -0.06444912186641441)]
In [3]:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='BayesianRidge_inf_prior_fit_alpha',
num_samples=100,
#labels=labels_test[i],
top_labels=1)
#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior', 'BayesianRidge_inf_prior_fit_alpha'
alpha_init=1
lambda_init=1
with open('.\posterior_configure.csv') as csv_file:
csv_reader=csv.reader(csv_file)
line_count = 0
for row in csv_reader:
if line_count == 1:
alpha_init=float(row[0])
lambda_init=float(row[1])
line_count=line_count+1
exp.show_in_notebook(show_table=True)
exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
label=1)
exp.show_in_notebook(show_table=True)
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2572846550877491 the lambda is 2.0 the regulation term lambda/alpha is 7.773491191372774
In [4]:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='Bay_info_prior',
num_samples=100,
#labels=labels_test[i],
top_labels=1)
#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior', 'BayesianRidge_inf_prior_fit_alpha'
alpha_init=1
lambda_init=1
with open('.\posterior_configure.csv') as csv_file:
csv_reader=csv.reader(csv_file)
line_count = 0
for row in csv_reader:
if line_count == 1:
alpha_init=float(row[0])
lambda_init=float(row[1])
line_count=line_count+1
exp.show_in_notebook(show_table=True)
exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
label=1)
exp.show_in_notebook(show_table=True)
using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0
In [5]:
exp.as_list()
Out[5]:
[('LSTAT', -4.574269203719008),
('RM', 1.7203511978075454),
('DIS', -1.3533428321434107),
('PTRATIO', -0.3757520330750844),
('TAX', -0.2934330625075643),
('RAD=4', -0.2809675686099691),
('B', 0.247792931167461),
('CHAS=0', -0.1807569361402992),
('ZN', -0.17834242928188765),
('NOX', -0.09198945800501514),
('CRIM', 0.08136795875849968),
('INDUS', 0.06967150517368757),
('AGE', 0.011447210336717938)]
In [6]:
k=3#number of explanations
m=13# number of features
i=1
instance=3
explanations=np.array([])
while i<=k:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='Bay_non_info_prior',
num_samples=100,
#labels=labels_test[i],
)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
temp_list=exp.as_list()
temp_array = np.array(temp_list)
explanations=np.append(explanations,temp_array)
i=i+1
using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3756786550639776 the lambda is 0.5513220738128569 the regulation term lambda/alpha is 1.4675363276068147 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.251708090554997 the lambda is 0.4811493752952507 the regulation term lambda/alpha is 1.9115371867243254 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3571166937389321 the lambda is 0.4782801736792113 the regulation term lambda/alpha is 1.3392825988382804
In [7]:
exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance..
In [8]:
for exp in exps:
#print(exp)
i=1
temp_vector=np.array([])
while i<=(2*m-1):
temp_vector=np.append(temp_vector,float(exp[i]))
i=i+2
#print(temp_vector)
normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
#print(normlised_temp_vector)
i=1
while i<=(2*m-1):
exp[i]=normlised_temp_vector[math.floor(i/2)]
i=i+2
In [9]:
print(exps)
[['LSTAT' '-0.8066048395873953' 'RM' '0.3534211584807102' 'CHAS=0' '-0.2663661763123778' 'PTRATIO' '-0.2158419330851548' 'DIS' '-0.20857729278264972' 'TAX' '-0.16094573807918228' 'B' '0.12007040620142352' 'RAD=4' '-0.093526812375778' 'NOX' '-0.08937232544222505' 'AGE' '-0.061692424471191394' 'INDUS' '-0.047648124966020264' 'CRIM' '0.013750802449920253' 'ZN' '-0.010883777345780431'] ['LSTAT' '-0.8558428207529889' 'RM' '0.39307863466990733' 'DIS' '-0.17236990524108228' 'RAD=4' '-0.16419416610483534' 'PTRATIO' '-0.15618642661565546' 'AGE' '-0.13230554125748603' 'CRIM' '-0.08890840422960931' 'INDUS' '0.05939566627771297' 'TAX' '-0.04069523820258217' 'B' '-0.029790752966329173' 'NOX' '0.017320782793975' 'CHAS=0' '0.010967692662899329' 'ZN' '0.007466453018965512'] ['LSTAT' '-0.8279838012542706' 'RM' '0.3399687523683637' 'DIS' '-0.33222481527283954' 'CRIM' '0.15326085484966467' 'INDUS' '-0.1492749068223042' 'TAX' '-0.14042791967863635' 'PTRATIO' '-0.10671159238148356' 'ZN' '-0.0858551987939331' 'AGE' '0.04420364602374686' 'RAD=4' '-0.03734893906484879' 'NOX' '-0.029190080405645042' 'B' '-0.006254311671579373' 'CHAS=0' '-0.0005426242287322127']]
In [10]:
feature_names=np.array([])
i=0
while i<=(2*m-1):
feature_names=np.append(feature_names,exps[0,i])
i=i+2
print(feature_names)
['LSTAT' 'RM' 'CHAS=0' 'PTRATIO' 'DIS' 'TAX' 'B' 'RAD=4' 'NOX' 'AGE' 'INDUS' 'CRIM' 'ZN']
In [11]:
def rankings_in_k_exp (feature, k_exps):
ranks=np.array([])
for exp in k_exps:
rank=math.ceil(exp.tolist().index(feature)/2)+1
ranks=np.append(ranks,rank)
return ranks
print(rankings_in_k_exp('LSTAT',exps))
[1. 1. 1.]
In [12]:
def importance_in_k_exp (feature, k_exps):
importance_s=np.array([])
for exp in k_exps:
importance=exp[exp.tolist().index(feature)+1]
importance_s=np.append(importance_s,importance)
return importance_s
print(importance_in_k_exp('INDUS',exps))
['-0.047648124966020264' '0.05939566627771297' '-0.1492749068223042']
In [13]:
g_i_s=np.array([])
f_i_s=np.array([])
for feature in feature_names:
g_i=importance_in_k_exp(feature,exps)
f_i=rankings_in_k_exp(feature,exps)
g_i_s=np.append(g_i_s,g_i)
f_i_s=np.append(f_i_s,f_i)
g_i_s=g_i_s.reshape(m,k)
f_i_s=f_i_s.reshape(m,k)
print(g_i_s)
print(f_i_s)
[['-0.8066048395873953' '-0.8558428207529889' '-0.8279838012542706'] ['0.3534211584807102' '0.39307863466990733' '0.3399687523683637'] ['-0.2663661763123778' '0.010967692662899329' '-0.0005426242287322127'] ['-0.2158419330851548' '-0.15618642661565546' '-0.10671159238148356'] ['-0.20857729278264972' '-0.17236990524108228' '-0.33222481527283954'] ['-0.16094573807918228' '-0.04069523820258217' '-0.14042791967863635'] ['0.12007040620142352' '-0.029790752966329173' '-0.006254311671579373'] ['-0.093526812375778' '-0.16419416610483534' '-0.03734893906484879'] ['-0.08937232544222505' '0.017320782793975' '-0.029190080405645042'] ['-0.061692424471191394' '-0.13230554125748603' '0.04420364602374686'] ['-0.047648124966020264' '0.05939566627771297' '-0.1492749068223042'] ['0.013750802449920253' '-0.08890840422960931' '0.15326085484966467'] ['-0.010883777345780431' '0.007466453018965512' '-0.0858551987939331']] [[ 1. 1. 1.] [ 2. 2. 2.] [ 3. 12. 13.] [ 4. 5. 7.] [ 5. 3. 3.] [ 6. 9. 6.] [ 7. 10. 12.] [ 8. 4. 10.] [ 9. 11. 11.] [10. 6. 9.] [11. 8. 5.] [12. 7. 4.] [13. 13. 8.]]
In [14]:
#now calculate the index of dispersion of ranks for each feature
IoD_f_i_s=np.array([])
for f_i in f_i_s:
if np.mean(f_i)==0:
IoD_f_i=0
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
else:
IoD_f_i=np.var(f_i)/np.mean(f_i)
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
print(IoD_f_i_s)
[0. 0. 2.16666667 0.29166667 0.24242424 0.28571429 0.43678161 0.84848485 0.08602151 0.34666667 0.75 1.42028986 0.49019608]
In [15]:
#now calculate the weighted importance for each feature
weights_g_i_s=np.array([])
for g_i in g_i_s:
weight=np.mean(abs(g_i.astype(np.float)))
weights_g_i_s=np.append(weights_g_i_s,weight)
weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
print(weights_g_i_s)
[0.36460607 0.15906201 0.04068189 0.07008886 0.10441036 0.05007983 0.02285574 0.04319905 0.01989368 0.03487338 0.03752577 0.03746741 0.01525596]
In [16]:
np.dot(weights_g_i_s,IoD_f_i_s)
Out[16]:
0.2974815493882417
In [17]:
def kendall_w(expt_ratings):
if expt_ratings.ndim!=2:
raise 'ratings matrix must be 2-dimensional'
m = expt_ratings.shape[0] #raters
n = expt_ratings.shape[1] # items rated
denom = m**2*(n**3-n)
rating_sums = np.sum(expt_ratings, axis=0)
S = n*np.var(rating_sums)
return 12*S/denom
In [18]:
ken_w=kendall_w(f_i_s.T)
print(ken_w)
0.663003663003663
Now we have shown a toy example of calculating the inconsistency of k explanations for a given number of samples, while we want to see inconsistency as a function of the number of samples... Let us do it now...¶
In [19]:
n=10 #number of samples
inconsistency_non_info=np.array([])
ken_w_non_info=np.array([])
while n<=1000:
k=100#number of explanations
m=13# number of features
i=1
instance=3
explanations=np.array([])
while i<=k:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='Bay_non_info_prior',
num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
temp_list=exp.as_list()
temp_array = np.array(temp_list)
explanations=np.append(explanations,temp_array)
i=i+1
exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance..
for exp in exps:
#print(exp)
i=1
temp_vector=np.array([])
while i<=(2*m-1):
temp_vector=np.append(temp_vector,float(exp[i]))
i=i+2
#print(temp_vector)
normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
#print(normlised_temp_vector)
i=1
while i<=(2*m-1):
exp[i]=normlised_temp_vector[math.floor(i/2)]
i=i+2
feature_names=np.array([])
i=0
while i<=(2*m-1):
feature_names=np.append(feature_names,exps[0,i])
i=i+2
g_i_s=np.array([])
f_i_s=np.array([])
for feature in feature_names:
g_i=importance_in_k_exp(feature,exps)
f_i=rankings_in_k_exp(feature,exps)
g_i_s=np.append(g_i_s,g_i)
f_i_s=np.append(f_i_s,f_i)
g_i_s=g_i_s.reshape(m,k)
f_i_s=f_i_s.reshape(m,k)
IoD_f_i_s=np.array([])
for f_i in f_i_s:
if np.mean(f_i)==0:
IoD_f_i=0
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
else:
IoD_f_i=np.var(f_i)/np.mean(f_i)
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
weights_g_i_s=np.array([])
for g_i in g_i_s:
weight=np.mean(abs(g_i.astype(np.float)))
weights_g_i_s=np.append(weights_g_i_s,weight)
weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
inconsistency_non_info=np.append(inconsistency_non_info,np.dot(weights_g_i_s,IoD_f_i_s))
ken_w_non_info=np.append(ken_w_non_info,kendall_w(f_i_s.T))
print(n)
n=n+10
using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 500001.23715843813 the lambda is 0.16278626887760012 the regulation term lambda/alpha is 3.2557173218756883e-07 using Bay_non_info_prior option for model regressor Convergence after 30 iterations the alpha is 0.19671090813521402 the lambda is 2.1581111584030457 the regulation term lambda/alpha is 10.970978573895941 using Bay_non_info_prior option for model regressor Convergence after 30 iterations the alpha is 0.29337017323318254 the lambda is 1039.1583278213554 the regulation term lambda/alpha is 3542.140349064696 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 499999.5676290682 the lambda is 0.27653036540013287 the regulation term lambda/alpha is 5.530612090554463e-07 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 1.0813439765546673 the lambda is 0.18360972402138065 the regulation term lambda/alpha is 0.1697977036006528 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 499998.9515080224 the lambda is 0.20119069549921967 the regulation term lambda/alpha is 4.0238223478752956e-07 using Bay_non_info_prior option for model regressor Convergence after 33 iterations the alpha is 499998.78405382193 the lambda is 0.25290363499652835 the regulation term lambda/alpha is 5.058085000648817e-07 using Bay_non_info_prior option for model regressor Convergence after 63 iterations the alpha is 0.43319979563652256 the lambda is 0.30730497308308824 the regulation term lambda/alpha is 0.7093839290287507 using Bay_non_info_prior option for model regressor Convergence after 31 iterations the alpha is 1.1482508950627877 the lambda is 0.7719344867932629 the regulation term lambda/alpha is 0.6722698759586446 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 499999.3745763536 the lambda is 0.13314180119908886 the regulation term lambda/alpha is 2.6628393547871756e-07 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 500000.0225871617 the lambda is 0.12198081442435563 the regulation term lambda/alpha is 2.4396161782791024e-07 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 500000.6434077526 the lambda is 0.2942698116318128 the regulation term lambda/alpha is 5.885388659226875e-07 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 500003.44234799285 the lambda is 0.3803542500066129 the regulation term lambda/alpha is 7.607032628025261e-07 using Bay_non_info_prior option for model regressor Convergence after 60 iterations the alpha is 0.11307755608417545 the lambda is 379.09006306269055 the regulation term lambda/alpha is 3352.478389084516 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.6043528721119776 the lambda is 1.7093794171362953 the regulation term lambda/alpha is 2.828445922930226 using Bay_non_info_prior option for model regressor Convergence after 28 iterations the alpha is 0.2785457822036801 the lambda is 0.3453664295131363 the regulation term lambda/alpha is 1.2398910756458525 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 500001.27559836424 the lambda is 0.30116851572746534 the regulation term lambda/alpha is 6.023354947785869e-07 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 500001.3370857012 the lambda is 0.44538196148897585 the regulation term lambda/alpha is 8.907615409289126e-07 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 499999.13515061076 the lambda is 0.6452858084726029 the regulation term lambda/alpha is 1.2905738492492162e-06 using Bay_non_info_prior option for model regressor Convergence after 170 iterations the alpha is 8.18492085191159 the lambda is 1.0562400383856765 the regulation term lambda/alpha is 0.12904706807751126 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 500004.4559694087 the lambda is 0.42319273880172975 the regulation term lambda/alpha is 8.463779347350888e-07 using Bay_non_info_prior option for model regressor Convergence after 51 iterations the alpha is 0.3522521798461745 the lambda is 1.8760783731038466 the regulation term lambda/alpha is 5.3259524864348995 using Bay_non_info_prior option for model regressor Convergence after 51 iterations the alpha is 2.909900850837532 the lambda is 0.16317629342034332 the regulation term lambda/alpha is 0.05607623825855705 using Bay_non_info_prior option for model regressor Convergence after 27 iterations the alpha is 2.773371817166914 the lambda is 0.5563594359162782 the regulation term lambda/alpha is 0.2006075898198954 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 500000.8600014693 the lambda is 0.30234124572191834 the regulation term lambda/alpha is 6.046814513899633e-07 using Bay_non_info_prior option for model regressor Convergence after 85 iterations the alpha is 0.9815514419759905 the lambda is 1.7143647880107218 the regulation term lambda/alpha is 1.7465867958580783 using Bay_non_info_prior option for model regressor Convergence after 57 iterations the alpha is 1.7250528273709975 the lambda is 0.621017746251483 the regulation term lambda/alpha is 0.35999926286195066 using Bay_non_info_prior option for model regressor Convergence after 24 iterations the alpha is 1.2777408532722985 the lambda is 0.8899311214163103 the regulation term lambda/alpha is 0.6964879608703077 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 500002.099531238 the lambda is 0.22723178235548333 the regulation term lambda/alpha is 4.5446165639807847e-07 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 1.052251458940713 the lambda is 0.5338043645938348 the regulation term lambda/alpha is 0.5072973385384595 using Bay_non_info_prior option for model regressor Convergence after 32 iterations the alpha is 0.25750350615728523 the lambda is 0.48220764948221684 the regulation term lambda/alpha is 1.872625568009472 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 500000.33231987647 the lambda is 0.1520951942619395 the regulation term lambda/alpha is 3.0419018634698865e-07 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.8768321798440574 the lambda is 0.5406137527476393 the regulation term lambda/alpha is 0.6165532757292123 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 499999.8494886471 the lambda is 0.3134212667601766 the regulation term lambda/alpha is 6.268427222142456e-07 using Bay_non_info_prior option for model regressor Convergence after 53 iterations the alpha is 0.565574492190224 the lambda is 0.7898076223985678 the regulation term lambda/alpha is 1.3964696663387106 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 500000.1527680261 the lambda is 0.3450143141290641 the regulation term lambda/alpha is 6.900284174295696e-07 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 500001.3159205463 the lambda is 0.39164289277218356 the regulation term lambda/alpha is 7.832837240660749e-07 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 500002.58816756547 the lambda is 0.42970422125737534 the regulation term lambda/alpha is 8.594039939516651e-07 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 500004.5655832122 the lambda is 0.745090917466889 the regulation term lambda/alpha is 1.4901682279596883e-06 using Bay_non_info_prior option for model regressor Convergence after 26 iterations the alpha is 499999.7245547257 the lambda is 0.3075671382537031 the regulation term lambda/alpha is 6.151346153792518e-07 using Bay_non_info_prior option for model regressor Convergence after 55 iterations the alpha is 0.3082687215820797 the lambda is 0.588021051180796 the regulation term lambda/alpha is 1.9074950198092977 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 500000.4381993502 the lambda is 0.3151792020470471 the regulation term lambda/alpha is 6.303578516492922e-07 using Bay_non_info_prior option for model regressor Convergence after 26 iterations the alpha is 499999.58017165464 the lambda is 0.19017024290924311 the regulation term lambda/alpha is 3.80340805174188e-07 using Bay_non_info_prior option for model regressor Convergence after 21 iterations the alpha is 499996.89281620213 the lambda is 0.4736973563751563 the regulation term lambda/alpha is 9.47400600245903e-07 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 500000.2482837201 the lambda is 0.8471865617034418 the regulation term lambda/alpha is 1.6943722820367765e-06 using Bay_non_info_prior option for model regressor Convergence after 43 iterations the alpha is 500000.07873747754 the lambda is 0.43288854577529123 the regulation term lambda/alpha is 8.657769552123953e-07 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 500001.78674787906 the lambda is 1.0409218497324608 the regulation term lambda/alpha is 2.081836260031877e-06 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 500000.0216771023 the lambda is 0.3138295741402008 the regulation term lambda/alpha is 6.276591210687397e-07 using Bay_non_info_prior option for model regressor Convergence after 19 iterations the alpha is 0.30919208020227607 the lambda is 0.2717629415882323 the regulation term lambda/alpha is 0.8789453514153489 using Bay_non_info_prior option for model regressor Convergence after 51 iterations the alpha is 0.16769077374456134 the lambda is 0.562771850315047 the regulation term lambda/alpha is 3.356009622642099 using Bay_non_info_prior option for model regressor Convergence after 114 iterations the alpha is 0.10874926010256347 the lambda is 5.972923172614013 the regulation term lambda/alpha is 54.92380515491173 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 500000.2639615635 the lambda is 0.15281221158493694 the regulation term lambda/alpha is 3.0562426182375786e-07 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 500000.44443396165 the lambda is 0.3574494285963923 the regulation term lambda/alpha is 7.148982217426869e-07 using Bay_non_info_prior option for model regressor Convergence after 82 iterations the alpha is 0.07801843687626937 the lambda is 283.1351705280159 the regulation term lambda/alpha is 3629.0802772304232 using Bay_non_info_prior option for model regressor Convergence after 121 iterations the alpha is 0.2566419944674206 the lambda is 3.4716778228419396 the regulation term lambda/alpha is 13.527317811125613 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 500000.5544297543 the lambda is 0.1301694764653793 the regulation term lambda/alpha is 2.603386642517553e-07 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 500003.7333853496 the lambda is 0.47101488336231545 the regulation term lambda/alpha is 9.420227328568912e-07 using Bay_non_info_prior option for model regressor Convergence after 61 iterations the alpha is 0.393776597237454 the lambda is 5.903534752227566 the regulation term lambda/alpha is 14.992091438759713 using Bay_non_info_prior option for model regressor Convergence after 79 iterations the alpha is 0.19675078687240144 the lambda is 0.2538773234908119 the regulation term lambda/alpha is 1.290349723762267 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 500001.8291378111 the lambda is 0.6750305464520191 the regulation term lambda/alpha is 1.3500561540265214e-06 using Bay_non_info_prior option for model regressor Convergence after 30 iterations the alpha is 499996.159018523 the lambda is 0.10605850394331835 the regulation term lambda/alpha is 2.1211863737415087e-07 using Bay_non_info_prior option for model regressor Convergence after 64 iterations the alpha is 500000.84010846476 the lambda is 0.19686987253617194 the regulation term lambda/alpha is 3.9373908350526996e-07 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 500002.60285854206 the lambda is 0.2939825879578723 the regulation term lambda/alpha is 5.87962115151317e-07 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 500003.8065144548 the lambda is 1.7006473024701223 the regulation term lambda/alpha is 3.4012687109832186e-06 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 499994.3857815256 the lambda is 0.34421101945714244 the regulation term lambda/alpha is 6.884297689045387e-07 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 2.1138887848161345 the lambda is 0.38051208724593255 the regulation term lambda/alpha is 0.1800057268760378 using Bay_non_info_prior option for model regressor Convergence after 73 iterations the alpha is 1.0360861168364612 the lambda is 0.3088743435006503 the regulation term lambda/alpha is 0.29811647746400977 using Bay_non_info_prior option for model regressor Convergence after 21 iterations the alpha is 0.6695993308578747 the lambda is 0.7016983172913496 the regulation term lambda/alpha is 1.0479376023156273 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 500000.229727318 the lambda is 0.454068386901976 the regulation term lambda/alpha is 9.081363565564928e-07 using Bay_non_info_prior option for model regressor Convergence after 32 iterations the alpha is 0.16890867641358961 the lambda is 0.4065935604188487 the regulation term lambda/alpha is 2.407179838549348 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 499957.30830584106 the lambda is 0.951315589520859 the regulation term lambda/alpha is 1.9027936460104842e-06 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 500001.6208523997 the lambda is 0.277480142162771 the regulation term lambda/alpha is 5.549584853139567e-07 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 499988.05679415225 the lambda is 0.5697755830024941 the regulation term lambda/alpha is 1.1395783864434861e-06 using Bay_non_info_prior option for model regressor Convergence after 53 iterations the alpha is 0.6510930376220023 the lambda is 0.5300998178468008 the regulation term lambda/alpha is 0.814169077560548 using Bay_non_info_prior option for model regressor Convergence after 24 iterations the alpha is 0.27514068623427845 the lambda is 0.7911581938348593 the regulation term lambda/alpha is 2.8754678367022724 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 500000.49621171784 the lambda is 0.22649985907645817 the regulation term lambda/alpha is 4.5299926858582586e-07 using Bay_non_info_prior option for model regressor Convergence after 36 iterations the alpha is 0.09266279971458735 the lambda is 0.5283085033537489 the regulation term lambda/alpha is 5.701408817572997 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 0.6679766392821459 the lambda is 1642.818466273706 the regulation term lambda/alpha is 2459.3950890845417 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 1.7842861673161479 the lambda is 1.9415612339043995 the regulation term lambda/alpha is 1.0881445305518556 using Bay_non_info_prior option for model regressor Convergence after 33 iterations the alpha is 499988.80767749465 the lambda is 0.7373471133980678 the regulation term lambda/alpha is 1.4747272380418468e-06 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 499996.9996424463 the lambda is 0.34260797982390157 the regulation term lambda/alpha is 6.852200714582378e-07 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 499996.14852437266 the lambda is 0.15164630290542078 the regulation term lambda/alpha is 3.032949420769962e-07 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 500001.9974061091 the lambda is 0.18289561400606807 the regulation term lambda/alpha is 3.657897667507066e-07 using Bay_non_info_prior option for model regressor Convergence after 22 iterations the alpha is 500000.65924527374 the lambda is 0.10252853437015697 the regulation term lambda/alpha is 2.0505679837486358e-07 using Bay_non_info_prior option for model regressor Convergence after 67 iterations the alpha is 0.8658517676798821 the lambda is 0.2531838740335146 the regulation term lambda/alpha is 0.2924101832256354 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 500004.92871174414 the lambda is 0.5360551097844084 the regulation term lambda/alpha is 1.072099651428531e-06 using Bay_non_info_prior option for model regressor Convergence after 312 iterations the alpha is 2.7172305263406744 the lambda is 4.481676165582559 the regulation term lambda/alpha is 1.6493544151434527 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 500004.3043745696 the lambda is 0.3010762859574313 the regulation term lambda/alpha is 6.021473881790529e-07 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 500001.9327999059 the lambda is 0.4154685077112862 the regulation term lambda/alpha is 8.309338033650184e-07 using Bay_non_info_prior option for model regressor Convergence after 28 iterations the alpha is 0.1717000991055918 the lambda is 730.8716306200414 the regulation term lambda/alpha is 4256.67564798883 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 500000.79429922474 the lambda is 0.19282937776780212 the regulation term lambda/alpha is 3.8565814287967644e-07 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 0.4389344756776596 the lambda is 0.16250248725384925 the regulation term lambda/alpha is 0.370220377433251 using Bay_non_info_prior option for model regressor Convergence after 36 iterations the alpha is 499973.0874326116 the lambda is 1.659505641611855 the regulation term lambda/alpha is 3.31918993906953e-06 using Bay_non_info_prior option for model regressor Convergence after 91 iterations the alpha is 0.2937182472983946 the lambda is 1.0418807871259494 the regulation term lambda/alpha is 3.5472116448641366 using Bay_non_info_prior option for model regressor Convergence after 33 iterations the alpha is 500000.7888190516 the lambda is 0.29717511127729535 the regulation term lambda/alpha is 5.943492848865122e-07 using Bay_non_info_prior option for model regressor Convergence after 67 iterations the alpha is 0.2047097748152431 the lambda is 0.35039062501900065 the regulation term lambda/alpha is 1.7116457938329472 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 1.1989506010128028 the lambda is 0.28941262842353543 the regulation term lambda/alpha is 0.2413882842037501 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 500004.24665018206 the lambda is 0.20887353996428104 the regulation term lambda/alpha is 4.177435319072704e-07 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 499999.18282355805 the lambda is 0.18325966037998984 the regulation term lambda/alpha is 3.6651991978286755e-07 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 1.0462584628920082 the lambda is 1.6695169358631317 the regulation term lambda/alpha is 1.5957022046429596 10 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.4161731769712778 the lambda is 1.0980256229985348 the regulation term lambda/alpha is 2.638386334721219 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.37075895308598755 the lambda is 0.36861827094290595 the regulation term lambda/alpha is 0.9942262159139684 using Bay_non_info_prior option for model regressor Convergence after 30 iterations the alpha is 0.09494769406194278 the lambda is 1.705532666830094 the regulation term lambda/alpha is 17.96286559331735 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.43766194729965635 the lambda is 0.18884874817132086 the regulation term lambda/alpha is 0.43149455724104974 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.2458770309906844 the lambda is 1.1148337264814558 the regulation term lambda/alpha is 4.534110900841705 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 0.21893422522654865 the lambda is 0.7324715498546011 the regulation term lambda/alpha is 3.3456237785419547 using Bay_non_info_prior option for model regressor Convergence after 28 iterations the alpha is 0.7077824059436888 the lambda is 0.2767565502715659 the regulation term lambda/alpha is 0.39101925669170234 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.1824141756396912 the lambda is 0.9324702115486357 the regulation term lambda/alpha is 5.111829759275249 using Bay_non_info_prior option for model regressor Convergence after 21 iterations the alpha is 0.3376425983446283 the lambda is 0.37236192288651543 the regulation term lambda/alpha is 1.1028286262222442 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.7008914261242193 the lambda is 1.460178086590441 the regulation term lambda/alpha is 2.083315663689761 using Bay_non_info_prior option for model regressor Convergence after 33 iterations the alpha is 0.1277298335274283 the lambda is 0.5732932776211588 the regulation term lambda/alpha is 4.488327133833237 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.4662893795900201 the lambda is 0.3456834216826959 the regulation term lambda/alpha is 0.7413495499010385 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.12950355567908392 the lambda is 0.35886031569107485 the regulation term lambda/alpha is 2.771046044329069 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.6112100776948499 the lambda is 0.440940899032724 the regulation term lambda/alpha is 0.7214228219137221 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.6120453293220078 the lambda is 0.5527947010880706 the regulation term lambda/alpha is 0.9031924182812211 using Bay_non_info_prior option for model regressor Convergence after 35 iterations the alpha is 0.25120546806838123 the lambda is 2.047478114562529 the regulation term lambda/alpha is 8.150611251842577 using Bay_non_info_prior option for model regressor Convergence after 19 iterations the alpha is 1.0357359565402215 the lambda is 0.8279783915681518 the regulation term lambda/alpha is 0.7994106860342434 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 0.420862689062896 the lambda is 0.4716124255527379 the regulation term lambda/alpha is 1.1205850216916178 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.23459998550378958 the lambda is 1.1748283902193148 the regulation term lambda/alpha is 5.007793959136189 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.25096700080422735 the lambda is 0.39983002056160827 the regulation term lambda/alpha is 1.5931577429715749 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 0.4592845552666852 the lambda is 1.1305944022894603 the regulation term lambda/alpha is 2.461642546706097 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.39563011459197794 the lambda is 0.45662521406545836 the regulation term lambda/alpha is 1.1541720339878223 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.8040198180770426 the lambda is 0.26864695918978027 the regulation term lambda/alpha is 0.33412977286094464 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.30518078637939855 the lambda is 0.3704665275849066 the regulation term lambda/alpha is 1.2139248082424996 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 0.45488482778427697 the lambda is 0.31335374468884564 the regulation term lambda/alpha is 0.6888639179617779 using Bay_non_info_prior option for model regressor Convergence after 31 iterations the alpha is 0.34502799110487475 the lambda is 1521.3461275256757 the regulation term lambda/alpha is 4409.341174476615 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.348580260533298 the lambda is 0.399900212607963 the regulation term lambda/alpha is 1.1472256403622794 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.7224601642909598 the lambda is 0.23734104355105537 the regulation term lambda/alpha is 0.328517827393276 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 0.41346390240173275 the lambda is 0.3393380040956077 the regulation term lambda/alpha is 0.8207197826084892 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.8845526084316387 the lambda is 0.3228895332327114 the regulation term lambda/alpha is 0.3650314635386273 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.5198690829870352 the lambda is 0.43311266840701634 the regulation term lambda/alpha is 0.8331187265810489 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.2631706291449207 the lambda is 0.3479117917020756 the regulation term lambda/alpha is 1.3220008358550162 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.4669161837877362 the lambda is 0.42140378723495353 the regulation term lambda/alpha is 0.9025255535510138 using Bay_non_info_prior option for model regressor Convergence after 21 iterations the alpha is 0.2641222581174618 the lambda is 0.2664244273793512 the regulation term lambda/alpha is 1.0087163016032732 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.48042860144507543 the lambda is 0.35970114403522274 the regulation term lambda/alpha is 0.7487088465451099 using Bay_non_info_prior option for model regressor Convergence after 26 iterations the alpha is 0.3274198956950139 the lambda is 0.5638228815935181 the regulation term lambda/alpha is 1.72201777902559 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.7055435648080083 the lambda is 0.5881097378333838 the regulation term lambda/alpha is 0.8335555267851101 using Bay_non_info_prior option for model regressor Convergence after 19 iterations the alpha is 0.47488272242446916 the lambda is 0.3737586148432604 the regulation term lambda/alpha is 0.7870545656727009 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.5367779533107384 the lambda is 0.6764589630421242 the regulation term lambda/alpha is 1.2602212122719672 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.2339283579695989 the lambda is 0.49030060392309005 the regulation term lambda/alpha is 2.095943425494437 using Bay_non_info_prior option for model regressor Convergence after 103 iterations the alpha is 0.18067878477436294 the lambda is 43.8097436260686 the regulation term lambda/alpha is 242.4730921274433 using Bay_non_info_prior option for model regressor Convergence after 802 iterations the alpha is 0.12711295139372616 the lambda is 12.381863651303302 the regulation term lambda/alpha is 97.40835623390636 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.5031849488109639 the lambda is 0.46766925743543875 the regulation term lambda/alpha is 0.9294182159870851 using Bay_non_info_prior option for model regressor Convergence after 35 iterations the alpha is 0.5980130706342968 the lambda is 2119.2224094878356 the regulation term lambda/alpha is 3543.7727259707417 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.2614169553309865 the lambda is 0.4076955393404284 the regulation term lambda/alpha is 1.55956043028745 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.4264244550434787 the lambda is 0.41159305745238467 the regulation term lambda/alpha is 0.9652191673913687 using Bay_non_info_prior option for model regressor Convergence after 59 iterations the alpha is 0.3954438425284054 the lambda is 0.44533031241022614 the regulation term lambda/alpha is 1.126153108271593 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.5845447270287172 the lambda is 0.8455899641637604 the regulation term lambda/alpha is 1.4465787219772812 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.41484421571272057 the lambda is 0.46093549907603015 the regulation term lambda/alpha is 1.111105040440597 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 0.6587126798855054 the lambda is 0.7820512122547538 the regulation term lambda/alpha is 1.1872417764763334 using Bay_non_info_prior option for model regressor Convergence after 27 iterations the alpha is 0.4195166011954392 the lambda is 0.5315340670689638 the regulation term lambda/alpha is 1.267015573529924 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 6.602500306100114 the lambda is 0.3941277048120508 the regulation term lambda/alpha is 0.0596937048905416 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.6945605007408114 the lambda is 0.47047658027414013 the regulation term lambda/alpha is 0.6773730722843214 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.7904788213517775 the lambda is 0.35145309929843543 the regulation term lambda/alpha is 0.4446078627349238 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.2665227970668636 the lambda is 0.3160791402542708 the regulation term lambda/alpha is 1.1859366017946105 using Bay_non_info_prior option for model regressor Convergence after 38 iterations the alpha is 0.18250640398879195 the lambda is 1.8957194067814496 the regulation term lambda/alpha is 10.387139110460305 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.6039767939217678 the lambda is 1.0248584169783805 the regulation term lambda/alpha is 1.6968506526943299 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.42977655726414243 the lambda is 0.35195096132396747 the regulation term lambda/alpha is 0.8189161446226975 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.38052479897053454 the lambda is 0.553344138331686 the regulation term lambda/alpha is 1.4541605168143945 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.3343922562576622 the lambda is 0.2012570054200777 the regulation term lambda/alpha is 0.6018590492269097 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.9898919354879662 the lambda is 0.4965729314444731 the regulation term lambda/alpha is 0.5016435770836823 using Bay_non_info_prior option for model regressor Convergence after 77 iterations the alpha is 0.12688389888361978 the lambda is 0.600801535740786 the regulation term lambda/alpha is 4.735049450930351 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 1.0429359030506942 the lambda is 0.5802472948061704 the regulation term lambda/alpha is 0.5563594973659337 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 2.0094492754861473 the lambda is 0.3996275025377675 the regulation term lambda/alpha is 0.19887414298680686 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.28717918707898465 the lambda is 0.598804202925283 the regulation term lambda/alpha is 2.085123956982963 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 0.3714668245766004 the lambda is 0.3129893024272247 the regulation term lambda/alpha is 0.8425767301937969 using Bay_non_info_prior option for model regressor Convergence after 43 iterations the alpha is 0.21342963441508064 the lambda is 0.3802685245263194 the regulation term lambda/alpha is 1.7817044271685738 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.34802200973443304 the lambda is 0.5639015533771212 the regulation term lambda/alpha is 1.6203042842244963 using Bay_non_info_prior option for model regressor Convergence after 55 iterations the alpha is 0.15219374974594924 the lambda is 0.4318279081172615 the regulation term lambda/alpha is 2.837356388406844 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 3.314358937235113 the lambda is 0.4411761258288559 the regulation term lambda/alpha is 0.13311054541271003 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.42756043871247124 the lambda is 0.4494797158741523 the regulation term lambda/alpha is 1.0512659151246253 using Bay_non_info_prior option for model regressor Convergence after 36 iterations the alpha is 0.48467524458164474 the lambda is 0.36140189529985056 the regulation term lambda/alpha is 0.7456578386044875 using Bay_non_info_prior option for model regressor Convergence after 19 iterations the alpha is 0.2886130587829648 the lambda is 0.35825235949590195 the regulation term lambda/alpha is 1.241289500227727 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.6529891036857445 the lambda is 0.38279675334304897 the regulation term lambda/alpha is 0.5862222680016917 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.7788272969344912 the lambda is 0.3431149714509018 the regulation term lambda/alpha is 0.4405533457820777 using Bay_non_info_prior option for model regressor Convergence after 30 iterations the alpha is 0.17083767852637324 the lambda is 0.34031041848336613 the regulation term lambda/alpha is 1.9920103189111784 using Bay_non_info_prior option for model regressor Convergence after 36 iterations the alpha is 0.4991651322063959 the lambda is 0.5828268961583795 the regulation term lambda/alpha is 1.1676033812341502 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 1.0448927444276772 the lambda is 0.35480000631548747 the regulation term lambda/alpha is 0.339556388162905 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4508187667836733 the lambda is 0.6224794812512405 the regulation term lambda/alpha is 1.3807754404109338 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.883250457102872 the lambda is 0.7601989791377206 the regulation term lambda/alpha is 0.8606833690539267 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 0.19239139514721892 the lambda is 0.6899754428570133 the regulation term lambda/alpha is 3.5863113437533958 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.33144138986992067 the lambda is 0.33997572554214844 the regulation term lambda/alpha is 1.025749154852317 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 2.2690991267344884 the lambda is 0.49448450566926727 the regulation term lambda/alpha is 0.2179210682527083 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.2238245544754903 the lambda is 0.3211837836852859 the regulation term lambda/alpha is 1.4349801094788142 using Bay_non_info_prior option for model regressor Convergence after 38 iterations the alpha is 0.20778968595764327 the lambda is 0.29428092180125237 the regulation term lambda/alpha is 1.4162441241729382 using Bay_non_info_prior option for model regressor Convergence after 28 iterations the alpha is 0.6629215907915093 the lambda is 0.3372490009756354 the regulation term lambda/alpha is 0.5087313577658104 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.4751259213047002 the lambda is 0.6905334103394557 the regulation term lambda/alpha is 1.4533692635485862 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.6382951492185301 the lambda is 0.47234170504425377 the regulation term lambda/alpha is 0.7400051615973355 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.31118869869116994 the lambda is 0.5695339984901714 the regulation term lambda/alpha is 1.830188566890691 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.5237747579196671 the lambda is 0.6750045253848197 the regulation term lambda/alpha is 1.2887305376566984 using Bay_non_info_prior option for model regressor Convergence after 24 iterations the alpha is 0.4665240594755387 the lambda is 0.1995428092925342 the regulation term lambda/alpha is 0.427722440546492 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.3663381435213819 the lambda is 0.39768102255752313 the regulation term lambda/alpha is 1.08555723609576 using Bay_non_info_prior option for model regressor Convergence after 24 iterations the alpha is 0.35870838351967504 the lambda is 0.5491929113432958 the regulation term lambda/alpha is 1.5310289264905703 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.9902166427466715 the lambda is 0.2392609558848324 the regulation term lambda/alpha is 0.24162485819382745 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.7355887973952181 the lambda is 0.6333459722032098 the regulation term lambda/alpha is 0.8610054618095615 using Bay_non_info_prior option for model regressor Convergence after 22 iterations the alpha is 0.17567762973002807 the lambda is 0.3921916565335774 the regulation term lambda/alpha is 2.2324507516197505 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.3659697704260414 the lambda is 0.3872416803467533 the regulation term lambda/alpha is 1.0581247732454742 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 0.27703283725038413 the lambda is 0.19411015812051252 the regulation term lambda/alpha is 0.7006756312612662 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.15539277215149336 the lambda is 0.47379951463512293 the regulation term lambda/alpha is 3.049044740467162 using Bay_non_info_prior option for model regressor Convergence after 29 iterations the alpha is 0.7522616247217538 the lambda is 0.2920433723857448 the regulation term lambda/alpha is 0.38822048445414936 20 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.7477681668909545 the lambda is 0.43923260278243476 the regulation term lambda/alpha is 0.5873914165250728 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.3544016037175347 the lambda is 0.32162719936066086 the regulation term lambda/alpha is 0.9075218508802355 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.47588461508986946 the lambda is 0.42882503782222936 the regulation term lambda/alpha is 0.9011113707494977 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.42656596150874365 the lambda is 0.7460712980954852 the regulation term lambda/alpha is 1.7490174214948289 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.245664657921297 the lambda is 1.4104637353406537 the regulation term lambda/alpha is 5.7414190029422985 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.7212430633094695 the lambda is 0.43699825879799314 the regulation term lambda/alpha is 0.6058959607774929 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.19282020185171905 the lambda is 0.45810150084326956 the regulation term lambda/alpha is 2.3757961896313895 using Bay_non_info_prior option for model regressor Convergence after 23 iterations the alpha is 0.32516586487452454 the lambda is 0.3309364956114364 the regulation term lambda/alpha is 1.0177467297778586 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.5553384901250402 the lambda is 0.5317822469150227 the regulation term lambda/alpha is 0.9575821888291706 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.25792318074479137 the lambda is 0.30306184860297086 the regulation term lambda/alpha is 1.1750081854908694 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 1.6112149604780228 the lambda is 0.3453941978377286 the regulation term lambda/alpha is 0.21436878772231327 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.24229558573626125 the lambda is 0.7700552966655894 the regulation term lambda/alpha is 3.178164778882082 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.23082608394680196 the lambda is 0.5173138001713377 the regulation term lambda/alpha is 2.2411409981315713 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.30575505581927237 the lambda is 0.4799287808978442 the regulation term lambda/alpha is 1.5696511693383854 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.224985633977838 the lambda is 0.4977245515763485 the regulation term lambda/alpha is 2.212250368062951 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.3522961674377527 the lambda is 0.7982834514921852 the regulation term lambda/alpha is 2.2659441835490135 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.16968491962552884 the lambda is 0.45700676874437407 the regulation term lambda/alpha is 2.6932668486564677 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.561533439949572 the lambda is 0.5679603364158397 the regulation term lambda/alpha is 1.0114452604404909 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.28938559110979256 the lambda is 0.384073109896445 the regulation term lambda/alpha is 1.3272019122428529 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.47232042742665314 the lambda is 0.5046028524853523 the regulation term lambda/alpha is 1.0683485684381337 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.2880945591053241 the lambda is 0.5007996866918163 the regulation term lambda/alpha is 1.7383170589789916 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.21748533182963758 the lambda is 0.751224072559453 the regulation term lambda/alpha is 3.4541367283928284 using Bay_non_info_prior option for model regressor Convergence after 20 iterations the alpha is 0.42796191861024546 the lambda is 0.4533783233453152 the regulation term lambda/alpha is 1.0593894073977572 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.31991162563838965 the lambda is 0.4412333672686914 the regulation term lambda/alpha is 1.379235175927733 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.7704749711396095 the lambda is 0.5805391049242193 the regulation term lambda/alpha is 0.7534821073623508 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.2781059853419621 the lambda is 0.41693254579520006 the regulation term lambda/alpha is 1.4991858060247618 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.2946975647827839 the lambda is 0.581663898155904 the regulation term lambda/alpha is 1.9737655402230339 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.24068538558552585 the lambda is 0.4527633895501942 the regulation term lambda/alpha is 1.881142008056438 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.25087762622543314 the lambda is 0.46281004480686266 the regulation term lambda/alpha is 1.8447641257215648 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.37382706574027985 the lambda is 0.3463525256322936 the regulation term lambda/alpha is 0.9265046792329518 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.2707156071696759 the lambda is 0.31632290145267583 the regulation term lambda/alpha is 1.168469393988115 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.23111471404853076 the lambda is 0.6126407269074846 the regulation term lambda/alpha is 2.6508079739952812 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.44342756066664135 the lambda is 0.4739997862158612 the regulation term lambda/alpha is 1.0689452534327322 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.43739506856046323 the lambda is 0.5271778195660334 the regulation term lambda/alpha is 1.2052669484844891 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.16218123970140205 the lambda is 0.5705984699932966 the regulation term lambda/alpha is 3.5182766579158398 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.21924552463157013 the lambda is 0.39631354114497935 the regulation term lambda/alpha is 1.8076243143889124 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.457794630421099 the lambda is 0.4803440289235873 the regulation term lambda/alpha is 1.0492565814538855 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.42678755029545096 the lambda is 0.21231060815852848 the regulation term lambda/alpha is 0.49746204642462705 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.2821413262554302 the lambda is 0.4035167987691841 the regulation term lambda/alpha is 1.430193882351958 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.2861979820158712 the lambda is 0.17694554982482355 the regulation term lambda/alpha is 0.6182627444766923 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.17973862524723824 the lambda is 0.4195678584639991 the regulation term lambda/alpha is 2.334322174139617 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.22179863372330336 the lambda is 0.43229805744287525 the regulation term lambda/alpha is 1.9490564490229125 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2930529821184912 the lambda is 0.25952357523905045 the regulation term lambda/alpha is 0.8855858533257183 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.17949771704684922 the lambda is 0.23581733529577847 the regulation term lambda/alpha is 1.3137623094907092 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.6444051196065118 the lambda is 0.3705272418019238 the regulation term lambda/alpha is 0.5749911515727498 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.42996660200039344 the lambda is 0.5195267262542685 the regulation term lambda/alpha is 1.2082955369956692 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.5899426503187919 the lambda is 0.35357505288946606 the regulation term lambda/alpha is 0.5993380080223085 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.30036158229350923 the lambda is 0.6573786260120817 the regulation term lambda/alpha is 2.1886241941877254 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.4527053463994855 the lambda is 0.2365713536988956 the regulation term lambda/alpha is 0.5225724758508495 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.5865114141109847 the lambda is 0.559496334909873 the regulation term lambda/alpha is 0.9539393802897079 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.39628200544068104 the lambda is 0.5952769168096191 the regulation term lambda/alpha is 1.5021548004624838 using Bay_non_info_prior option for model regressor Convergence after 18 iterations the alpha is 0.22703032176815496 the lambda is 1.3050143612800484 the regulation term lambda/alpha is 5.748194122777744 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.49202530155001795 the lambda is 0.5346819134996497 the regulation term lambda/alpha is 1.086695972372257 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.2747594770243129 the lambda is 0.771680236054732 the regulation term lambda/alpha is 2.8085664029213726 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.26961501923646597 the lambda is 0.39865671971757777 the regulation term lambda/alpha is 1.478614658955389 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.4979078736339793 the lambda is 0.5988202850825343 the regulation term lambda/alpha is 1.202672857354205 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3133282027529484 the lambda is 0.2720946610755071 the regulation term lambda/alpha is 0.8684014355708894 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.322321082200496 the lambda is 0.25716992099230634 the regulation term lambda/alpha is 0.7978687563239716 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.39037062530795447 the lambda is 0.2583202646166823 the regulation term lambda/alpha is 0.6617307959913719 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.25377257980932516 the lambda is 0.2429113636076886 the regulation term lambda/alpha is 0.9572009859780862 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4543568421747532 the lambda is 0.519256825502651 the regulation term lambda/alpha is 1.14283923406382 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.35618976509623035 the lambda is 0.584022384041556 the regulation term lambda/alpha is 1.6396383087643551 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.5990060975114653 the lambda is 0.36731264409369085 the regulation term lambda/alpha is 0.6132035143209211 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.32577704953719255 the lambda is 0.4040720844300043 the regulation term lambda/alpha is 1.2403331818617662 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.24382673720978046 the lambda is 0.2120425965151784 the regulation term lambda/alpha is 0.8696445637655561 using Bay_non_info_prior option for model regressor Convergence after 31 iterations the alpha is 0.19511901233730206 the lambda is 0.20784583561750153 the regulation term lambda/alpha is 1.0652259517293918 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.19316947407479373 the lambda is 0.5092361326969599 the regulation term lambda/alpha is 2.6362143145856862 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.16331731615294892 the lambda is 0.8052129433274036 the regulation term lambda/alpha is 4.930358655742974 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.19149324208382182 the lambda is 0.32854817532165226 the regulation term lambda/alpha is 1.7157168145800037 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.5981805452548101 the lambda is 0.7588116618454297 the regulation term lambda/alpha is 1.2685328332137493 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.4628394837819547 the lambda is 0.3521567611839197 the regulation term lambda/alpha is 0.7608615373657749 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.3673131858427348 the lambda is 0.7048118664846953 the regulation term lambda/alpha is 1.918830833332677 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.2631947968260022 the lambda is 0.34449907350301706 the regulation term lambda/alpha is 1.3089129331487697 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.14293359554154714 the lambda is 0.24544166314983498 the regulation term lambda/alpha is 1.7171726648301615 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.5946894893777044 the lambda is 0.2923691509025897 the regulation term lambda/alpha is 0.4916332911962694 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.4431924011774865 the lambda is 0.48169596223341965 the regulation term lambda/alpha is 1.0868777554706168 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.25647059437120945 the lambda is 0.38095360036708514 the regulation term lambda/alpha is 1.4853695071790645 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.4114425601731464 the lambda is 1.2990141935240254 the regulation term lambda/alpha is 3.157218818046836 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.619967815019398 the lambda is 1.2023508147602986 the regulation term lambda/alpha is 1.939376183137311 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.29450631643030817 the lambda is 0.337806480137642 the regulation term lambda/alpha is 1.1470262649445766 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.3694857306622974 the lambda is 0.992838216680391 the regulation term lambda/alpha is 2.68708135196654 using Bay_non_info_prior option for model regressor Convergence after 19 iterations the alpha is 1.702541841966434 the lambda is 0.43214250055512715 the regulation term lambda/alpha is 0.25382195603251845 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.24010568082185738 the lambda is 0.2991356094232465 the regulation term lambda/alpha is 1.245849779144482 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.44505148105994286 the lambda is 0.2676842895862999 the regulation term lambda/alpha is 0.6014681468956761 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 1.5312368882336231 the lambda is 0.5021666585673237 the regulation term lambda/alpha is 0.32794838109379937 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.20643986065966444 the lambda is 0.5597491604628557 the regulation term lambda/alpha is 2.711439344486165 using Bay_non_info_prior option for model regressor Convergence after 21 iterations the alpha is 0.38019625318712713 the lambda is 0.19052114093621528 the regulation term lambda/alpha is 0.5011126210190281 using Bay_non_info_prior option for model regressor Convergence after 24 iterations the alpha is 0.6745111433739649 the lambda is 0.42618301874882447 the regulation term lambda/alpha is 0.6318398486599035 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4312355258591963 the lambda is 0.3315948581595255 the regulation term lambda/alpha is 0.7689414212775116 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.21446941687737095 the lambda is 0.5826220489061943 the regulation term lambda/alpha is 2.7165740336736457 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.6136695616263605 the lambda is 0.6717639280847831 the regulation term lambda/alpha is 1.0946671793602727 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3999114785361629 the lambda is 0.3390783097709205 the regulation term lambda/alpha is 0.8478834141297562 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.7819807264926023 the lambda is 0.5148895747346373 the regulation term lambda/alpha is 0.6584427944203408 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.2848625258823831 the lambda is 0.5232653194337613 the regulation term lambda/alpha is 1.8369047238239136 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.21428935886568135 the lambda is 0.5534283481454844 the regulation term lambda/alpha is 2.5826216993461566 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.3961981124920041 the lambda is 0.4194188056678788 the regulation term lambda/alpha is 1.0586087930349324 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.4002370531764403 the lambda is 0.6253186293377644 the regulation term lambda/alpha is 1.5623706610244785 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.23283167331798343 the lambda is 0.4853583661319169 the regulation term lambda/alpha is 2.084589090544619 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.678928441962176 the lambda is 0.411158253796763 the regulation term lambda/alpha is 0.6055988059779489 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.3145138899952276 the lambda is 0.40318252101964847 the regulation term lambda/alpha is 1.2819227825701633 30 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.3073595234533389 the lambda is 0.29012480741531455 the regulation term lambda/alpha is 0.9439265266799491 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3153151203486369 the lambda is 0.43125180691357395 the regulation term lambda/alpha is 1.3676851475969451 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.28079006776552073 the lambda is 0.39571522811774756 the regulation term lambda/alpha is 1.4092921137374324 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.2924188554053947 the lambda is 0.3335239008459294 the regulation term lambda/alpha is 1.1405690661894863 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.3008735563626008 the lambda is 0.25975704770390906 the regulation term lambda/alpha is 0.8633428967445056 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.25183449316573847 the lambda is 0.6570672651675848 the regulation term lambda/alpha is 2.609123384599872 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.3464889240863104 the lambda is 0.668053106065713 the regulation term lambda/alpha is 1.9280648229301003 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.20474242470427328 the lambda is 0.3743694167763942 the regulation term lambda/alpha is 1.8284897100204192 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3863155164617247 the lambda is 0.35498537899082444 the regulation term lambda/alpha is 0.918900131794203 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.3719670298620104 the lambda is 0.34065687546439427 the regulation term lambda/alpha is 0.9158254579465515 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3502794649623929 the lambda is 0.3907945789663756 the regulation term lambda/alpha is 1.1156651133069777 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.7873140019684151 the lambda is 0.6837513557747869 the regulation term lambda/alpha is 0.8684608098741995 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23698720222215922 the lambda is 0.3792371515329426 the regulation term lambda/alpha is 1.6002431691540617 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.513725418677371 the lambda is 0.6097588186677018 the regulation term lambda/alpha is 1.1869352702803315 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.41175557545743746 the lambda is 0.623629947566383 the regulation term lambda/alpha is 1.514563456423304 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.3135998469704404 the lambda is 0.40500848461752165 the regulation term lambda/alpha is 1.2914817673865042 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3436513826423277 the lambda is 0.4863490474030291 the regulation term lambda/alpha is 1.4152396060900505 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.2548915865824429 the lambda is 0.424287901388299 the regulation term lambda/alpha is 1.6645818211464039 using Bay_non_info_prior option for model regressor Convergence after 17 iterations the alpha is 0.3453511421373441 the lambda is 0.32673963382708776 the regulation term lambda/alpha is 0.9461084500978583 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.6909025547274483 the lambda is 0.33467231292535554 the regulation term lambda/alpha is 0.4843987196680424 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.1621678689268254 the lambda is 0.5277351031398742 the regulation term lambda/alpha is 3.254251946654135 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.31672524699581284 the lambda is 0.4235040049758897 the regulation term lambda/alpha is 1.3371337112935884 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.31741539784788064 the lambda is 0.4761949018173319 the regulation term lambda/alpha is 1.500226217902464 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4082702185125421 the lambda is 0.3843102207678965 the regulation term lambda/alpha is 0.9413133834940509 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.21169674278585837 the lambda is 0.4696380620217695 the regulation term lambda/alpha is 2.2184472743486254 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.17942790117057214 the lambda is 0.2943261430105959 the regulation term lambda/alpha is 1.640358835445533 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3081364110798043 the lambda is 0.419165354276024 the regulation term lambda/alpha is 1.360323996788112 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.4632613996671984 the lambda is 0.7804108154450463 the regulation term lambda/alpha is 1.6846014280613155 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3099776593985891 the lambda is 0.4557674016499028 the regulation term lambda/alpha is 1.4703233856729265 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.42053937209918724 the lambda is 0.40448483495032084 the regulation term lambda/alpha is 0.961823937985336 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.9030895160761261 the lambda is 0.774778029072961 the regulation term lambda/alpha is 0.8579194147212876 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.39544234555415436 the lambda is 0.5543463790417832 the regulation term lambda/alpha is 1.4018386884311749 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.26299307399976585 the lambda is 0.4803387842727372 the regulation term lambda/alpha is 1.8264313085034507 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.28153912270452586 the lambda is 0.4470362258636551 the regulation term lambda/alpha is 1.5878298602671208 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.31787625801888136 the lambda is 0.34687094273864 the regulation term lambda/alpha is 1.0912137474514891 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32179404755785207 the lambda is 0.9472135869935757 the regulation term lambda/alpha is 2.943539801876807 using Bay_non_info_prior option for model regressor Convergence after 16 iterations the alpha is 0.29053509003370587 the lambda is 0.48164802423267583 the regulation term lambda/alpha is 1.6577963927758206 using Bay_non_info_prior option for model regressor Convergence after 19 iterations the alpha is 0.3742908914524955 the lambda is 0.40028641187957636 the regulation term lambda/alpha is 1.069452719851667 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.31639318464961175 the lambda is 0.3718570021408997 the regulation term lambda/alpha is 1.1753002914797646 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.28877780853903007 the lambda is 0.7113664928385864 the regulation term lambda/alpha is 2.4633696627780903 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.41506601108096314 the lambda is 0.5393561275145398 the regulation term lambda/alpha is 1.299446625634043 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.33484163382875765 the lambda is 0.3120872248418452 the regulation term lambda/alpha is 0.9320442660408552 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.43417439794778434 the lambda is 0.3030014933984846 the regulation term lambda/alpha is 0.6978796880485911 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.31533918438860964 the lambda is 0.35730073071133217 the regulation term lambda/alpha is 1.1330679737885383 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.3861865321942437 the lambda is 0.39137807354744636 the regulation term lambda/alpha is 1.013443092703687 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5887271657760434 the lambda is 0.5170240399977061 the regulation term lambda/alpha is 0.8782065276641 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.5226362359955103 the lambda is 0.33389494752718046 the regulation term lambda/alpha is 0.6388668150634101 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.7149375603500783 the lambda is 0.5598374142546266 the regulation term lambda/alpha is 0.7830577735774508 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.269483085491961 the lambda is 0.8814256449270333 the regulation term lambda/alpha is 3.270801368916816 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.6527351095025055 the lambda is 0.38190638277058875 the regulation term lambda/alpha is 0.5850863194131936 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2671826659080779 the lambda is 0.3253306797169515 the regulation term lambda/alpha is 1.2176339307463868 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.2226874022578545 the lambda is 0.4742751167811416 the regulation term lambda/alpha is 2.1297797359545663 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.5472924182295474 the lambda is 0.3953235355829803 the regulation term lambda/alpha is 0.7223259859177735 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.33593614410392447 the lambda is 0.3919233155006288 the regulation term lambda/alpha is 1.1666601596146924 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4700518408733371 the lambda is 0.8909928180727597 the regulation term lambda/alpha is 1.8955203247738195 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.3100628289121137 the lambda is 0.3435341883032335 the regulation term lambda/alpha is 1.1079502483692012 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.2063916824878624 the lambda is 0.9218022760624317 the regulation term lambda/alpha is 4.466276280860502 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.978625913250825 the lambda is 0.7708913671680013 the regulation term lambda/alpha is 0.7877283410647019 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.25109929766347927 the lambda is 0.4230029347850521 the regulation term lambda/alpha is 1.684604213238208 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.6306743106400595 the lambda is 0.61938309144191 the regulation term lambda/alpha is 0.9820965924762493 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.18171146910895639 the lambda is 0.3374623519580101 the regulation term lambda/alpha is 1.8571329240404941 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.5525748967842382 the lambda is 0.39644183491501717 the regulation term lambda/alpha is 0.7174445260219888 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.6364941806708989 the lambda is 0.6333233120036722 the regulation term lambda/alpha is 0.9950182283459615 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.47598146769440697 the lambda is 0.3766829163980825 the regulation term lambda/alpha is 0.7913814758853661 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4538846276539345 the lambda is 0.49465871882698803 the regulation term lambda/alpha is 1.0898336023932096 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4462122260103882 the lambda is 0.7467735513749448 the regulation term lambda/alpha is 1.6735837967773644 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.24215912065548018 the lambda is 0.3195332806329012 the regulation term lambda/alpha is 1.3195178433419457 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.42136632832538723 the lambda is 0.535067720515529 the regulation term lambda/alpha is 1.2698397677906985 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.6067084999465066 the lambda is 0.5111738964126877 the regulation term lambda/alpha is 0.8425362368546969 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3125072437745514 the lambda is 0.4178975717934547 the regulation term lambda/alpha is 1.3372412323822287 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.2801714596038801 the lambda is 0.34810209172382106 the regulation term lambda/alpha is 1.2424609280901935 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.35884467654126395 the lambda is 0.42858758808349406 the regulation term lambda/alpha is 1.1943540370013273 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.4135525800121992 the lambda is 0.35033627927834354 the regulation term lambda/alpha is 0.8471384201448076 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.1899852403226733 the lambda is 0.300167903414202 the regulation term lambda/alpha is 1.5799538053818976 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.16390135163355377 the lambda is 0.4616108736083207 the regulation term lambda/alpha is 2.816394550792832 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.35418207458925904 the lambda is 0.42940512065787445 the regulation term lambda/alpha is 1.212385243256172 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.36120502687064693 the lambda is 0.5153148559423822 the regulation term lambda/alpha is 1.426654718531712 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.30089136844035036 the lambda is 0.2994603612073234 the regulation term lambda/alpha is 0.9952441067337874 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.15339171604043217 the lambda is 0.41382814305825355 the regulation term lambda/alpha is 2.697851968415123 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.28155101842031754 the lambda is 0.3880145953659749 the regulation term lambda/alpha is 1.3781324519548412 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.45299531303082907 the lambda is 0.7255365313471214 the regulation term lambda/alpha is 1.6016424684238273 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4010364760455762 the lambda is 0.8581708622888958 the regulation term lambda/alpha is 2.1398823138256584 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.2708759869810611 the lambda is 0.6843309825386208 the regulation term lambda/alpha is 2.5263626730651003 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.23667723292630224 the lambda is 0.5930438374145225 the regulation term lambda/alpha is 2.505707161107412 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.20781944287985962 the lambda is 0.4171697812261296 the regulation term lambda/alpha is 2.0073664689174215 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3807653630001497 the lambda is 0.3991809613014134 the regulation term lambda/alpha is 1.048364688836617 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2657805473820013 the lambda is 0.49048809663111737 the regulation term lambda/alpha is 1.8454627378208692 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.6831222593918378 the lambda is 0.330748016905801 the regulation term lambda/alpha is 0.4841710431164336 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.7626747518541286 the lambda is 0.575947378751227 the regulation term lambda/alpha is 0.7551677531622083 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3263083318563561 the lambda is 0.5568561533471434 the regulation term lambda/alpha is 1.7065336645840739 using Bay_non_info_prior option for model regressor Convergence after 13 iterations the alpha is 0.1983858896780716 the lambda is 0.32750023270824297 the regulation term lambda/alpha is 1.650824225652793 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.23508230871536415 the lambda is 0.23617744611095043 the regulation term lambda/alpha is 1.0046585274815907 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2061480067265723 the lambda is 0.4484981540234816 the regulation term lambda/alpha is 2.175612372611268 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.47014323768581956 the lambda is 0.6520290558820597 the regulation term lambda/alpha is 1.3868731986692706 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4154628662658688 the lambda is 0.30110069767282055 the regulation term lambda/alpha is 0.7247355230061306 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.2021320701338685 the lambda is 0.28158508711850605 the regulation term lambda/alpha is 1.3930747700353399 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4492716451908775 the lambda is 0.3206560903092662 the regulation term lambda/alpha is 0.7137242996339827 using Bay_non_info_prior option for model regressor Convergence after 15 iterations the alpha is 0.19428276630613062 the lambda is 0.3591058020694703 the regulation term lambda/alpha is 1.8483667331750293 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.6818519609342318 the lambda is 0.4840058977201777 the regulation term lambda/alpha is 0.7098401492561852 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.3079563276301272 the lambda is 0.744670114403038 the regulation term lambda/alpha is 2.4181029827626355 40 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.41806855249821756 the lambda is 0.5060576071005018 the regulation term lambda/alpha is 1.21046561401592 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.19415655382541122 the lambda is 0.40859503740246744 the regulation term lambda/alpha is 2.1044617312783727 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.35859926280456283 the lambda is 0.5758033283014188 the regulation term lambda/alpha is 1.6057013720500382 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.20985702047938962 the lambda is 0.45703803584210584 the regulation term lambda/alpha is 2.177854402002206 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.19876786776802688 the lambda is 0.6228090162388429 the regulation term lambda/alpha is 3.1333485800919068 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3142609608107154 the lambda is 0.5382310365440046 the regulation term lambda/alpha is 1.712688191226495 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.19486773050723163 the lambda is 0.26338209695078574 the regulation term lambda/alpha is 1.3515942134965826 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.18955690468906355 the lambda is 0.46342572581670544 the regulation term lambda/alpha is 2.444784201223785 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3909042705208075 the lambda is 0.7357910998871837 the regulation term lambda/alpha is 1.882279512850751 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.33068427856550275 the lambda is 0.4540653648808017 the regulation term lambda/alpha is 1.373108412805477 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3616612030142244 the lambda is 0.4936370102700118 the regulation term lambda/alpha is 1.364915578878381 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.28270449505951356 the lambda is 0.2793708993023542 the regulation term lambda/alpha is 0.988208196843642 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.28965575386114817 the lambda is 0.3979368931028244 the regulation term lambda/alpha is 1.3738269922080772 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4313310374357135 the lambda is 0.5517236836207482 the regulation term lambda/alpha is 1.2791189034315165 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3235291785149865 the lambda is 0.5996860113627464 the regulation term lambda/alpha is 1.853576280554762 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3449478727182712 the lambda is 0.5147705789623325 the regulation term lambda/alpha is 1.4923141137407747 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5284599451147849 the lambda is 0.4292826070061489 the regulation term lambda/alpha is 0.8123276153179518 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.26279523183501263 the lambda is 0.6010472679471731 the regulation term lambda/alpha is 2.287131557716089 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4157125522541459 the lambda is 0.4651349369701297 the regulation term lambda/alpha is 1.118885957250984 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.48052854678184526 the lambda is 0.46801337728925674 the regulation term lambda/alpha is 0.9739554089420825 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.18247992938151927 the lambda is 0.3399319338450163 the regulation term lambda/alpha is 1.8628456016897332 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2602170852715055 the lambda is 0.4404082481643064 the regulation term lambda/alpha is 1.6924647653507952 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.28414362478955385 the lambda is 0.3620355883489195 the regulation term lambda/alpha is 1.2741288445836327 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.7173118110690417 the lambda is 0.4565320406722186 the regulation term lambda/alpha is 0.6364485201935105 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.23979565250768553 the lambda is 0.4084435080484909 the regulation term lambda/alpha is 1.7032982198682693 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.2207278626335349 the lambda is 0.32433473419802566 the regulation term lambda/alpha is 1.4693873728868787 using Bay_non_info_prior option for model regressor Convergence after 14 iterations the alpha is 0.22007799027244368 the lambda is 0.637426429956465 the regulation term lambda/alpha is 2.8963660980699086 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32089325025613963 the lambda is 0.43531196009287987 the regulation term lambda/alpha is 1.3565631553340878 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.42895472381881883 the lambda is 0.3070467514475962 the regulation term lambda/alpha is 0.7158022383203456 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3457333587872584 the lambda is 0.6486335217312263 the regulation term lambda/alpha is 1.8761091611363796 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.26990366734501947 the lambda is 0.44915300757357335 the regulation term lambda/alpha is 1.664123396290938 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2475468656099328 the lambda is 0.43002424882840773 the regulation term lambda/alpha is 1.7371427740313632 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.274501047414052 the lambda is 0.5868805438144423 the regulation term lambda/alpha is 2.137990180158414 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4204618914464041 the lambda is 0.4964005056768612 the regulation term lambda/alpha is 1.1806076026752996 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24271342742344457 the lambda is 0.3766353877417344 the regulation term lambda/alpha is 1.5517698865693403 using Bay_non_info_prior option for model regressor Convergence after 12 iterations the alpha is 0.25027513913118227 the lambda is 0.39010900827362816 the regulation term lambda/alpha is 1.5587205729976705 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.30927972165582757 the lambda is 0.3568040284251307 the regulation term lambda/alpha is 1.1536612439860803 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.16772019357782628 the lambda is 0.3178948322903222 the regulation term lambda/alpha is 1.8953879405273357 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.6871238541845641 the lambda is 0.5146960108746584 the regulation term lambda/alpha is 0.7490585689030803 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.43254010081678823 the lambda is 0.5282350240176911 the regulation term lambda/alpha is 1.221239425015616 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.39739193290828934 the lambda is 0.33338854526454287 the regulation term lambda/alpha is 0.8389414018162334 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.20983832393871144 the lambda is 0.4117245202781007 the regulation term lambda/alpha is 1.9621035497707997 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.23173526321602766 the lambda is 0.4457104191934148 the regulation term lambda/alpha is 1.9233603596096454 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2460734542187565 the lambda is 0.5787352608580664 the regulation term lambda/alpha is 2.3518801030182526 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.25943692024299886 the lambda is 0.4502700189394036 the regulation term lambda/alpha is 1.7355664664754074 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.21361985186193028 the lambda is 0.7479099052549283 the regulation term lambda/alpha is 3.5011254746975844 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.293123895565464 the lambda is 0.6428265606244076 the regulation term lambda/alpha is 2.1930199835272175 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.24828687992985596 the lambda is 0.34788658117353305 the regulation term lambda/alpha is 1.401147661414148 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.31797048446364357 the lambda is 0.4999239330322278 the regulation term lambda/alpha is 1.5722337684125165 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2981674983392933 the lambda is 0.35223229551662244 the regulation term lambda/alpha is 1.1813235764409415 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.27896634535033693 the lambda is 0.4404071487812174 the regulation term lambda/alpha is 1.5787106800576132 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.33468996280838786 the lambda is 0.3518803683598895 the regulation term lambda/alpha is 1.0513621783194713 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.515163048076036 the lambda is 0.842596430360842 the regulation term lambda/alpha is 1.6355917481031716 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5126823756520232 the lambda is 0.7608424134594549 the regulation term lambda/alpha is 1.4840424590211918 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3422059577953429 the lambda is 0.34367715791905795 the regulation term lambda/alpha is 1.0042991657222837 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2699491138384687 the lambda is 0.5611664734548629 the regulation term lambda/alpha is 2.0787861292652807 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.7317524495753777 the lambda is 0.4806444739076437 the regulation term lambda/alpha is 0.6568402663859243 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4458180680218326 the lambda is 0.6949083353128381 the regulation term lambda/alpha is 1.5587262723475064 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.27105201366764925 the lambda is 0.44195343545270366 the regulation term lambda/alpha is 1.6305115371494912 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.42749610853131464 the lambda is 0.44714559191148856 the regulation term lambda/alpha is 1.0459641222178155 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.6505216134857715 the lambda is 0.5592448778637326 the regulation term lambda/alpha is 0.8596868517051426 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.42291487076719425 the lambda is 0.5935197160679818 the regulation term lambda/alpha is 1.4034023324630311 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.4153620371502928 the lambda is 0.5682395717080817 the regulation term lambda/alpha is 1.3680585149443312 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.17790125258336723 the lambda is 0.2881514000292553 the regulation term lambda/alpha is 1.6197266508521249 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.20690676748836093 the lambda is 0.5876605534404931 the regulation term lambda/alpha is 2.840219102420372 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4419525226645816 the lambda is 0.4336639804243815 the regulation term lambda/alpha is 0.9812456274935878 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2258326444177338 the lambda is 0.3350281706727822 the regulation term lambda/alpha is 1.4835241004974642 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5649047094950663 the lambda is 0.4376509849843196 the regulation term lambda/alpha is 0.7747341766286724 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.37605856733180437 the lambda is 0.6572407591982156 the regulation term lambda/alpha is 1.7477085121645912 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.39592713572480676 the lambda is 0.4712592777365824 the regulation term lambda/alpha is 1.1902676912353287 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.19907060434719173 the lambda is 0.38924937220298045 the regulation term lambda/alpha is 1.955333252136538 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3987446369184756 the lambda is 0.3564426940739192 the regulation term lambda/alpha is 0.8939121961075926 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.26716922308662266 the lambda is 0.36364617166960983 the regulation term lambda/alpha is 1.3611080178636707 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3902812411423074 the lambda is 0.8789169741575896 the regulation term lambda/alpha is 2.2520092730696017 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.17217265034929105 the lambda is 0.46502114244643133 the regulation term lambda/alpha is 2.700900180737365 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.300571653748465 the lambda is 0.3868199693988693 the regulation term lambda/alpha is 1.2869476032579628 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.438215709587258 the lambda is 0.5883796069598058 the regulation term lambda/alpha is 1.3426711870142278 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.388697021261809 the lambda is 0.31673170341411766 the regulation term lambda/alpha is 0.8148549798141655 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2513096269836503 the lambda is 0.47523620752702717 the regulation term lambda/alpha is 1.8910386093484 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.4043662375436577 the lambda is 0.5129820120800881 the regulation term lambda/alpha is 1.2686074267629814 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.23731482085957895 the lambda is 0.30512286978362746 the regulation term lambda/alpha is 1.2857303588475457 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.212796561892175 the lambda is 0.515485185316265 the regulation term lambda/alpha is 2.422431926214408 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.34347669831286376 the lambda is 0.4243897393301413 the regulation term lambda/alpha is 1.2355706847501369 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.28882354220548084 the lambda is 0.3604149903792015 the regulation term lambda/alpha is 1.2478726201716188 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.202808543798318 the lambda is 0.37004653714908814 the regulation term lambda/alpha is 1.824610197473136 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.32270651703731923 the lambda is 0.4793517695241339 the regulation term lambda/alpha is 1.4854108740193168 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.30796389793773865 the lambda is 0.43019758624904275 the regulation term lambda/alpha is 1.3969091478898485 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5473694019021486 the lambda is 0.4190895372371793 the regulation term lambda/alpha is 0.7656429748919333 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.332173814460938 the lambda is 0.5518799459608922 the regulation term lambda/alpha is 1.6614191785601766 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.5137062521536434 the lambda is 0.4779123833818382 the regulation term lambda/alpha is 0.9303223026355154 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5035801439014118 the lambda is 0.4989665372295009 the regulation term lambda/alpha is 0.9908383864459633 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.38017021420421715 the lambda is 0.5898462038552427 the regulation term lambda/alpha is 1.5515318712959276 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.38950669851587205 the lambda is 0.34994019845108165 the regulation term lambda/alpha is 0.8984189483376033 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3578405918510039 the lambda is 0.48704394155855646 the regulation term lambda/alpha is 1.3610639839354772 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 1.0534816836521208 the lambda is 0.42317842747756895 the regulation term lambda/alpha is 0.401695097356159 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3271928449877717 the lambda is 0.45086012791309826 the regulation term lambda/alpha is 1.377964508759195 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3538807036222082 the lambda is 0.3963984640469702 the regulation term lambda/alpha is 1.1201471569078618 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4836708874583793 the lambda is 0.5696873945449934 the regulation term lambda/alpha is 1.177840985093435 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.17436323363469378 the lambda is 0.4887532180070665 the regulation term lambda/alpha is 2.803074982143582 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5025768630876131 the lambda is 0.5141896584798441 the regulation term lambda/alpha is 1.0231065061787505 50 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3930935699308753 the lambda is 0.2985165042938278 the regulation term lambda/alpha is 0.7594031730061658 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.6492571098150183 the lambda is 0.540138867943206 the regulation term lambda/alpha is 0.831933697417805 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.20297097916250442 the lambda is 0.3459020623039677 the regulation term lambda/alpha is 1.7041946771465715 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3630488767526841 the lambda is 0.4678706062116081 the regulation term lambda/alpha is 1.288726218895123 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.543494228907424 the lambda is 0.4226419196817316 the regulation term lambda/alpha is 0.7776382842764687 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.22004077157146812 the lambda is 0.577895326075202 the regulation term lambda/alpha is 2.626310214911715 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5804657183083276 the lambda is 0.3903364532168989 the regulation term lambda/alpha is 0.6724539295007304 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.18688616270473868 the lambda is 0.46252072670062216 the regulation term lambda/alpha is 2.4748794667658642 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.6411582297979033 the lambda is 0.7815357329572438 the regulation term lambda/alpha is 1.2189436189621838 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3790801687888315 the lambda is 0.515260771355942 the regulation term lambda/alpha is 1.359239585131056 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40566067530470307 the lambda is 0.589193919477317 the regulation term lambda/alpha is 1.452430455662869 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32948641887768937 the lambda is 0.4801062380750991 the regulation term lambda/alpha is 1.4571351368910967 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.48225432268183704 the lambda is 0.7898336491556098 the regulation term lambda/alpha is 1.637794856380573 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3096809128589382 the lambda is 0.2855718076144306 the regulation term lambda/alpha is 0.92214855923171 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.6353558470630987 the lambda is 0.4585258046150599 the regulation term lambda/alpha is 0.7216834577576849 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4167020856434781 the lambda is 0.4754726393973172 the regulation term lambda/alpha is 1.1410373400533493 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.49707176388752844 the lambda is 0.7872729696023755 the regulation term lambda/alpha is 1.5838215460987448 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.23208091615012877 the lambda is 0.3401957946421844 the regulation term lambda/alpha is 1.4658499297810346 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.33577925958915456 the lambda is 0.4556662364246682 the regulation term lambda/alpha is 1.3570410423270405 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3138534123349986 the lambda is 0.4054261094186891 the regulation term lambda/alpha is 1.2917690026130682 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.44134314755717163 the lambda is 0.4254331212380407 the regulation term lambda/alpha is 0.9639508930699554 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25039840997511764 the lambda is 0.392077318794386 the regulation term lambda/alpha is 1.5658139316194026 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.42317325268178063 the lambda is 0.5252134009547635 the regulation term lambda/alpha is 1.2411309023581305 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.376307197577141 the lambda is 0.7662413554617445 the regulation term lambda/alpha is 2.03621232970084 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.46897405222742744 the lambda is 0.5003581012470967 the regulation term lambda/alpha is 1.0669206513038585 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3168064683129209 the lambda is 0.6281678700983736 the regulation term lambda/alpha is 1.9828126409272366 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2831222998265393 the lambda is 0.5775791832337029 the regulation term lambda/alpha is 2.040034231099312 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2597674595881115 the lambda is 0.4571763892164676 the regulation term lambda/alpha is 1.759944798095068 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2574336967278736 the lambda is 0.5851487438915531 the regulation term lambda/alpha is 2.2730075795403684 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.40234663364834333 the lambda is 0.4783625923043616 the regulation term lambda/alpha is 1.1889315140199666 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4022238594117155 the lambda is 0.5571790661207333 the regulation term lambda/alpha is 1.385246183395615 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.35071996999563143 the lambda is 0.46035881824855734 the regulation term lambda/alpha is 1.312610793888616 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.418719664676083 the lambda is 0.4254779598555735 the regulation term lambda/alpha is 1.0161403816195704 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3936882961324255 the lambda is 0.5149854635649361 the regulation term lambda/alpha is 1.308104580766378 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2727821229573262 the lambda is 0.37886414365479937 the regulation term lambda/alpha is 1.3888891967970665 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.3033282684190694 the lambda is 0.7764374891084067 the regulation term lambda/alpha is 2.5597267711155216 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31551316669494556 the lambda is 0.405993245873357 the regulation term lambda/alpha is 1.2867711675116629 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.6005681666000316 the lambda is 0.40770694057768325 the regulation term lambda/alpha is 0.6788687167450372 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.266068685532604 the lambda is 0.5576911297457783 the regulation term lambda/alpha is 2.0960419623580204 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4790312515776554 the lambda is 0.47773506784227293 the regulation term lambda/alpha is 0.9972941562139973 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3126118536624599 the lambda is 0.3499634334860969 the regulation term lambda/alpha is 1.1194822889344658 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5547366096480151 the lambda is 0.6546599181958236 the regulation term lambda/alpha is 1.180127481781328 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3117315372378755 the lambda is 0.3636236057652401 the regulation term lambda/alpha is 1.1664639676407424 using Bay_non_info_prior option for model regressor Convergence after 11 iterations the alpha is 0.25330741774682747 the lambda is 0.48494959759600664 the regulation term lambda/alpha is 1.914470574567611 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.321186125641114 the lambda is 0.4697256513858347 the regulation term lambda/alpha is 1.4624718002629273 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.24017092624157188 the lambda is 0.3183878651795526 the regulation term lambda/alpha is 1.3256719710499327 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.4066845524747852 the lambda is 0.4955871474533395 the regulation term lambda/alpha is 1.218603323970773 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4777941877401419 the lambda is 0.44075380241331324 the regulation term lambda/alpha is 0.922476274770061 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.2585783195833163 the lambda is 0.4738660762903166 the regulation term lambda/alpha is 1.8325823953606157 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3353056815697936 the lambda is 0.5244309342172168 the regulation term lambda/alpha is 1.564038317996878 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.33889160701410004 the lambda is 0.4315821364825785 the regulation term lambda/alpha is 1.2735108440281377 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4278454937086857 the lambda is 0.933130799787481 the regulation term lambda/alpha is 2.180999481141754 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.27691246232665523 the lambda is 0.38426013000723114 the regulation term lambda/alpha is 1.3876592146797098 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4035582889830542 the lambda is 0.3578551567837887 the regulation term lambda/alpha is 0.8867496135082865 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.36492284285090304 the lambda is 0.3633314713600024 the regulation term lambda/alpha is 0.9956391562707658 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5815253594982509 the lambda is 0.6797396300357513 the regulation term lambda/alpha is 1.1688907782495355 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5374132877128982 the lambda is 0.5777143324204328 the regulation term lambda/alpha is 1.0749907857303755 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3370839680738357 the lambda is 0.5559777282330656 the regulation term lambda/alpha is 1.6493745799007646 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3205375772565673 the lambda is 0.45262833847798956 the regulation term lambda/alpha is 1.4120913446466001 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3225292853987703 the lambda is 0.4923752201439815 the regulation term lambda/alpha is 1.5266062414618142 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32995265270967344 the lambda is 0.8643876324227047 the regulation term lambda/alpha is 2.619732332272784 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.24020100043609383 the lambda is 0.5921091749572982 the regulation term lambda/alpha is 2.4650570725446688 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.30914961723637285 the lambda is 0.7695467092266913 the regulation term lambda/alpha is 2.489237140598829 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3456322026987667 the lambda is 0.8839644630387069 the regulation term lambda/alpha is 2.5575292352290444 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2719536515130836 the lambda is 0.3759320930542314 the regulation term lambda/alpha is 1.3823388322334973 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.27923097770272903 the lambda is 0.500159400434678 the regulation term lambda/alpha is 1.7912031270654745 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.1957232041359503 the lambda is 0.37318306332251394 the regulation term lambda/alpha is 1.9066878910448408 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3409709717448572 the lambda is 0.539531716511635 the regulation term lambda/alpha is 1.582339146792113 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2697331748652098 the lambda is 0.35214790389478595 the regulation term lambda/alpha is 1.3055416860412523 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.34395382894006904 the lambda is 0.3930494275683353 the regulation term lambda/alpha is 1.1427389216150308 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.39429334273852024 the lambda is 0.4983938071901989 the regulation term lambda/alpha is 1.2640178089963694 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.39983397455840547 the lambda is 0.4241581830068684 the regulation term lambda/alpha is 1.0608357718358667 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2641412417329167 the lambda is 0.36661247915220774 the regulation term lambda/alpha is 1.38794107556632 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.31866450070879593 the lambda is 0.49807612846441596 the regulation term lambda/alpha is 1.5630110268215007 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.599886263310887 the lambda is 0.5096752810690239 the regulation term lambda/alpha is 0.8496198566975489 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.33677271411687826 the lambda is 0.413381568383369 the regulation term lambda/alpha is 1.2274793979891832 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.25748875640347524 the lambda is 0.46493624601977246 the regulation term lambda/alpha is 1.8056564974481246 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3522144097156112 the lambda is 0.46564487761084095 the regulation term lambda/alpha is 1.3220494811294548 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.9005504218954405 the lambda is 0.6692676071361439 the regulation term lambda/alpha is 0.7431761630042854 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.441051774756789 the lambda is 0.48778102148769337 the regulation term lambda/alpha is 1.1059495719219643 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.35504784863917543 the lambda is 0.3486176053959087 the regulation term lambda/alpha is 0.9818890798299088 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.20357269655505858 the lambda is 0.34247745374696376 the regulation term lambda/alpha is 1.6823349080820216 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5901065313187008 the lambda is 0.5703450144416863 the regulation term lambda/alpha is 0.9665119502526877 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3627963513140099 the lambda is 0.5464615872568577 the regulation term lambda/alpha is 1.5062488508432672 using Bay_non_info_prior option for model regressor Convergence after 9 iterations the alpha is 0.24826703573918907 the lambda is 0.5310805860194493 the regulation term lambda/alpha is 2.1391506304419856 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33625866290712514 the lambda is 0.7392498012841986 the regulation term lambda/alpha is 2.1984557807165843 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2966148822277153 the lambda is 0.5051173413190267 the regulation term lambda/alpha is 1.7029399790238482 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5329393072552888 the lambda is 0.7456867166209371 the regulation term lambda/alpha is 1.3991963183600153 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3010306106385129 the lambda is 0.42869525295591865 the regulation term lambda/alpha is 1.4240918956601045 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.350753306291528 the lambda is 0.5277407469435867 the regulation term lambda/alpha is 1.5045923658520155 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3075094688476686 the lambda is 0.6225328521133164 the regulation term lambda/alpha is 2.0244347416231965 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.47647099094104706 the lambda is 0.5089259435349465 the regulation term lambda/alpha is 1.0681152750344773 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2463661487023164 the lambda is 0.4507403209753699 the regulation term lambda/alpha is 1.8295546013506845 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2696272980741695 the lambda is 0.5785044415392205 the regulation term lambda/alpha is 2.145570740319048 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32613265192667645 the lambda is 0.46345345734015986 the regulation term lambda/alpha is 1.421058132640938 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2814911959925188 the lambda is 0.3478954225037001 the regulation term lambda/alpha is 1.2359016106242489 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.8130247165965155 the lambda is 0.6163126119613351 the regulation term lambda/alpha is 0.7580490474402098 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.265661700384737 the lambda is 0.396365059345098 the regulation term lambda/alpha is 1.491991727716391 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.22706966112570984 the lambda is 0.2767604767219303 the regulation term lambda/alpha is 1.2188351158401156 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4057953475310245 the lambda is 0.5087945616437288 the regulation term lambda/alpha is 1.2538205889726957 60 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4453141913858257 the lambda is 0.4326489539096426 the regulation term lambda/alpha is 0.9715588729908458 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3372320762851015 the lambda is 0.3046101930352217 the regulation term lambda/alpha is 0.90326577587388 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.47048055984707565 the lambda is 0.5594919520139044 the regulation term lambda/alpha is 1.1891924975513568 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2982021566548747 the lambda is 0.43994045542042254 the regulation term lambda/alpha is 1.4753094355705454 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5119233955285827 the lambda is 0.5308726611614334 the regulation term lambda/alpha is 1.0370158226765251 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.37780834899355614 the lambda is 0.56991344654207 the regulation term lambda/alpha is 1.5084723459930485 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.22775497612510842 the lambda is 0.49787977619861784 the regulation term lambda/alpha is 2.186032483984573 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24229394581123861 the lambda is 0.2940234942178516 the regulation term lambda/alpha is 1.2134991373119715 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2674251049717096 the lambda is 0.5280781410370936 the regulation term lambda/alpha is 1.974676764520511 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3842663604010662 the lambda is 0.5467592101596781 the regulation term lambda/alpha is 1.4228651438263162 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23976480593629845 the lambda is 0.33897836392613045 the regulation term lambda/alpha is 1.413795334150048 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.18159648619491436 the lambda is 0.40910428252031494 the regulation term lambda/alpha is 2.2528204762795236 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2699206598784749 the lambda is 0.4992262867869599 the regulation term lambda/alpha is 1.8495297359295289 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3864340790788503 the lambda is 0.4113221441681032 the regulation term lambda/alpha is 1.064404426101805 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2605665545700452 the lambda is 0.541217613369154 the regulation term lambda/alpha is 2.077080131263218 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.5032280086257596 the lambda is 0.5536268859710668 the regulation term lambda/alpha is 1.1001511769643726 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2439417660769184 the lambda is 0.33397797254950884 the regulation term lambda/alpha is 1.369088934300003 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2576307399731569 the lambda is 0.6420700092229351 the regulation term lambda/alpha is 2.4922103988438407 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24640157858939177 the lambda is 0.6585359960950569 the regulation term lambda/alpha is 2.6726127318869723 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.27987295040581767 the lambda is 0.3552711489420526 the regulation term lambda/alpha is 1.2694015210362668 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.407434448779892 the lambda is 0.42103871115565195 the regulation term lambda/alpha is 1.0333900641354687 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3822517123434836 the lambda is 0.4316208506115583 the regulation term lambda/alpha is 1.1291534783857622 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23326988028655124 the lambda is 0.6310858466230961 the regulation term lambda/alpha is 2.7053893363680874 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4180203468043314 the lambda is 0.6398119948880215 the regulation term lambda/alpha is 1.5305762022811469 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.2991958930769301 the lambda is 0.3433455774515968 the regulation term lambda/alpha is 1.1475611310056142 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.7900428374540799 the lambda is 0.5647191387178871 the regulation term lambda/alpha is 0.7147955932841561 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2974510397033661 the lambda is 0.3839973728011009 the regulation term lambda/alpha is 1.2909599280071213 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3586496211026813 the lambda is 0.3924334628525443 the regulation term lambda/alpha is 1.0941973440428945 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3266852152819344 the lambda is 0.44721230220563113 the regulation term lambda/alpha is 1.3689395212442657 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.40089340189966804 the lambda is 0.41150416698583314 the regulation term lambda/alpha is 1.0264677967656366 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3217143081141987 the lambda is 0.4699118556044203 the regulation term lambda/alpha is 1.460649538277968 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3512307710433104 the lambda is 0.5128714792443034 the regulation term lambda/alpha is 1.460212263637519 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35412457958704996 the lambda is 0.5513474291980887 the regulation term lambda/alpha is 1.5569306989111664 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4114454164765631 the lambda is 0.5073930900737577 the regulation term lambda/alpha is 1.2331966033765744 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.37065830395666827 the lambda is 0.5573140706019903 the regulation term lambda/alpha is 1.5035790771522632 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2786844165501087 the lambda is 0.4132602906820336 the regulation term lambda/alpha is 1.4828970194956257 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.486347527786238 the lambda is 0.4542174384451127 the regulation term lambda/alpha is 0.9339359459944715 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25848218088849484 the lambda is 0.4608678236087186 the regulation term lambda/alpha is 1.782977155425386 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5633585146076876 the lambda is 0.4539410453997971 the regulation term lambda/alpha is 0.8057764880254152 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3127201967143389 the lambda is 0.5449875507726067 the regulation term lambda/alpha is 1.7427321819909107 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24076136998959083 the lambda is 0.4470536434729309 the regulation term lambda/alpha is 1.8568329441399134 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.5087065730233125 the lambda is 0.4541945063432748 the regulation term lambda/alpha is 0.8928418275469392 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4235669027824027 the lambda is 0.5689114494329021 the regulation term lambda/alpha is 1.3431442487496872 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.27522007839529833 the lambda is 0.580885500979185 the regulation term lambda/alpha is 2.1106218135177612 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4614120349724678 the lambda is 0.480085989283907 the regulation term lambda/alpha is 1.0404713204165847 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3160152441883391 the lambda is 0.5624769861613544 the regulation term lambda/alpha is 1.7799045979760673 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2234856908066617 the lambda is 0.4308658263918666 the regulation term lambda/alpha is 1.9279347363881576 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.34842210299119714 the lambda is 0.34536936813460545 the regulation term lambda/alpha is 0.9912384006916208 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4834167906748183 the lambda is 0.4912255186137351 the regulation term lambda/alpha is 1.0161531996603104 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.49211408345329166 the lambda is 0.6468789081219634 the regulation term lambda/alpha is 1.3144897288503652 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.37321975123745477 the lambda is 0.431846216715215 the regulation term lambda/alpha is 1.1570829659560544 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34977952136893103 the lambda is 0.5447360224022397 the regulation term lambda/alpha is 1.5573696832516324 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2514857379884857 the lambda is 0.496621527333922 the regulation term lambda/alpha is 1.9747502633992702 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.45325812478760363 the lambda is 0.5344182104768761 the regulation term lambda/alpha is 1.1790593069397355 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3652802406608089 the lambda is 0.48670901719371046 the regulation term lambda/alpha is 1.3324263483653846 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30916356721016075 the lambda is 0.3786008287221789 the regulation term lambda/alpha is 1.2245971675725187 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.22816884670219795 the lambda is 0.39001012119945294 the regulation term lambda/alpha is 1.7093048715300185 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.38012049718980623 the lambda is 0.5142613624184555 the regulation term lambda/alpha is 1.3528903761316204 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3472269282083188 the lambda is 0.34362618437267384 the regulation term lambda/alpha is 0.9896299983004639 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3937199465951354 the lambda is 0.5537431949189219 the regulation term lambda/alpha is 1.4064392716387808 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.36449304271316035 the lambda is 0.5016398994171057 the regulation term lambda/alpha is 1.3762674197649194 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24221199815462852 the lambda is 0.48469569876233265 the regulation term lambda/alpha is 2.0011217547237363 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4859536832996774 the lambda is 0.5598421541224657 the regulation term lambda/alpha is 1.1520483810742574 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4285759775052319 the lambda is 0.4045065278510193 the regulation term lambda/alpha is 0.9438385469145462 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.5587327950171462 the lambda is 0.369330335249144 the regulation term lambda/alpha is 0.6610142424838515 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2869548847365629 the lambda is 0.49920702723401683 the regulation term lambda/alpha is 1.7396707767923543 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4039308836572065 the lambda is 0.5014047891762156 the regulation term lambda/alpha is 1.2413133272615267 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.39279087385344463 the lambda is 0.527709758554776 the regulation term lambda/alpha is 1.3434878294847332 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.29621017459549476 the lambda is 0.39721056128035936 the regulation term lambda/alpha is 1.3409754132274185 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2339568201171243 the lambda is 0.39248032025528673 the regulation term lambda/alpha is 1.6775758879728397 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.23521953733477657 the lambda is 0.42867272921143196 the regulation term lambda/alpha is 1.8224367502318604 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.36347694035229006 the lambda is 0.5928543494740683 the regulation term lambda/alpha is 1.6310645426349757 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3808985922853369 the lambda is 0.4102639908708184 the regulation term lambda/alpha is 1.0770950567427757 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.46693564974409735 the lambda is 0.6127221222624832 the regulation term lambda/alpha is 1.3122196229786347 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.27075710207526027 the lambda is 0.4008604849655867 the regulation term lambda/alpha is 1.4805169721980647 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3354433424072279 the lambda is 0.518338279369136 the regulation term lambda/alpha is 1.5452334681899091 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5549527413172961 the lambda is 0.7203796358869231 the regulation term lambda/alpha is 1.2980918594562696 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31894228842153055 the lambda is 0.26049252276723217 the regulation term lambda/alpha is 0.8167387399658707 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.21015119069194022 the lambda is 0.32150508205847816 the regulation term lambda/alpha is 1.5298751389411405 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.28831799901540345 the lambda is 0.26981032391553145 the regulation term lambda/alpha is 0.9358081175539679 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.22977818972095707 the lambda is 0.4444449883686583 the regulation term lambda/alpha is 1.9342348762882713 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.6510763109024671 the lambda is 0.5948473729737065 the regulation term lambda/alpha is 0.9136369470257322 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3625927265252539 the lambda is 0.5908595733550966 the regulation term lambda/alpha is 1.6295406116315034 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23425333815649158 the lambda is 0.4970048370691592 the regulation term lambda/alpha is 2.121655302675508 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.44120745205774403 the lambda is 0.4066654116703314 the regulation term lambda/alpha is 0.9217102063296703 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2732142130327308 the lambda is 0.7124933275285489 the regulation term lambda/alpha is 2.6078194088797013 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24344846030381412 the lambda is 0.48790279677000875 the regulation term lambda/alpha is 2.004131782805795 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.30276902076883105 the lambda is 0.4926129047857781 the regulation term lambda/alpha is 1.6270254583341137 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.256604155161702 the lambda is 0.5042488866294094 the regulation term lambda/alpha is 1.9650846507596547 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4189442141346366 the lambda is 0.4683734061125287 the regulation term lambda/alpha is 1.117985140527581 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4106695945064125 the lambda is 0.3889759578764134 the regulation term lambda/alpha is 0.9471749627432904 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.29241800160674014 the lambda is 0.39111689838741376 the regulation term lambda/alpha is 1.3375267467746714 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.36840738899875214 the lambda is 0.5939661571737044 the regulation term lambda/alpha is 1.6122536488423045 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.21973140292007282 the lambda is 0.38811865764904735 the regulation term lambda/alpha is 1.7663322242120545 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3161111396626533 the lambda is 0.3936436587102433 the regulation term lambda/alpha is 1.2452698096319255 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.22474852910653625 the lambda is 0.40059776658528073 the regulation term lambda/alpha is 1.7824266444715537 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5554137283757067 the lambda is 0.48409151719209753 the regulation term lambda/alpha is 0.8715872375135755 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.25782796097739885 the lambda is 0.672288684291753 the regulation term lambda/alpha is 2.6075088277593204 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2709919955205898 the lambda is 0.6579237891313853 the regulation term lambda/alpha is 2.4278347700546625 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2761874974860113 the lambda is 0.5084720608426682 the regulation term lambda/alpha is 1.8410393861815628 70 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3274552340227271 the lambda is 0.48616013217168075 the regulation term lambda/alpha is 1.4846613572160485 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4545255343132582 the lambda is 0.49186393885828905 the regulation term lambda/alpha is 1.0821480900989322 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2509181946243884 the lambda is 0.4750236125846265 the regulation term lambda/alpha is 1.8931413614533308 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4354622675867588 the lambda is 0.5462272931884249 the regulation term lambda/alpha is 1.2543619363751142 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.40904797213432675 the lambda is 0.3937065073862701 the regulation term lambda/alpha is 0.9624947052835684 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4437425899144992 the lambda is 0.5344572347734925 the regulation term lambda/alpha is 1.2044307824418483 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26791775389854894 the lambda is 0.6530681309535036 the regulation term lambda/alpha is 2.437569446035284 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.32476939671585464 the lambda is 0.3980830583514653 the regulation term lambda/alpha is 1.225740671310092 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3743235339026229 the lambda is 0.3657036241790936 the regulation term lambda/alpha is 0.9769720337012747 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.31948868531523866 the lambda is 0.42803870146384626 the regulation term lambda/alpha is 1.3397616915337756 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4067471458908285 the lambda is 0.5003100303251492 the regulation term lambda/alpha is 1.2300271443316608 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5839836838547628 the lambda is 0.6989723367749294 the regulation term lambda/alpha is 1.196903879507641 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.28881033080083196 the lambda is 0.4959738680719882 the regulation term lambda/alpha is 1.7172996086972365 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.36466693723233223 the lambda is 0.5100554644274367 the regulation term lambda/alpha is 1.3986885356225103 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.18767278731336173 the lambda is 0.6038045578907211 the regulation term lambda/alpha is 3.217326105369417 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.42772624003560444 the lambda is 0.42196055652943754 the regulation term lambda/alpha is 0.9865201547941342 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.42885320560555756 the lambda is 0.5086506006828856 the regulation term lambda/alpha is 1.1860715835495528 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5294743775118796 the lambda is 0.5638665232638221 the regulation term lambda/alpha is 1.0649552598060723 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3225568859169198 the lambda is 0.346189010398423 the regulation term lambda/alpha is 1.0732649821265638 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2730051730285871 the lambda is 0.6311226799786862 the regulation term lambda/alpha is 2.3117608834195957 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.35254948359511745 the lambda is 0.3515434462761472 the regulation term lambda/alpha is 0.9971463940076973 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.27338661194379965 the lambda is 0.37296459972755025 the regulation term lambda/alpha is 1.3642387133581397 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4032400478817075 the lambda is 0.33802835274367504 the regulation term lambda/alpha is 0.8382807077803874 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2155503297789372 the lambda is 0.2687490122495725 the regulation term lambda/alpha is 1.2468039948034153 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30571672404881123 the lambda is 0.4784870359537775 the regulation term lambda/alpha is 1.5651320268543158 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41983495667790366 the lambda is 0.42753320701497366 the regulation term lambda/alpha is 1.0183363729356536 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32246754746062095 the lambda is 0.5319178408355819 the regulation term lambda/alpha is 1.64952363431405 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.34518565067323237 the lambda is 0.47122573687838226 the regulation term lambda/alpha is 1.365137096398207 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3156234358019543 the lambda is 0.49431406000310546 the regulation term lambda/alpha is 1.5661513180956403 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.46682119040522396 the lambda is 0.3676750609727338 the regulation term lambda/alpha is 0.7876143339885098 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2659647579957669 the lambda is 0.371519863422581 the regulation term lambda/alpha is 1.3968762862502786 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.39531219631716036 the lambda is 0.6635555777371627 the regulation term lambda/alpha is 1.678560853722787 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.27339734059746024 the lambda is 0.5528900535333422 the regulation term lambda/alpha is 2.0222949218346504 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.308752877910838 the lambda is 0.39721993398450156 the regulation term lambda/alpha is 1.2865303043400658 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3067121311864846 the lambda is 0.380466078228359 the regulation term lambda/alpha is 1.240466351156587 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5913093021926275 the lambda is 0.5848775101810629 the regulation term lambda/alpha is 0.9891227958232437 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3496373583811072 the lambda is 0.4499040199294064 the regulation term lambda/alpha is 1.2867733070989735 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2904180119685086 the lambda is 0.5146961526479472 the regulation term lambda/alpha is 1.7722597478002093 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.48217626218361914 the lambda is 0.7402454503524011 the regulation term lambda/alpha is 1.535217530203728 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2955124077916547 the lambda is 0.49905332399355556 the regulation term lambda/alpha is 1.688772825895701 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31879276011441454 the lambda is 0.43709998748744794 the regulation term lambda/alpha is 1.371110144818135 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.39134627617122214 the lambda is 0.5059013046848987 the regulation term lambda/alpha is 1.2927203744837892 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5845193616189338 the lambda is 0.5665555393624461 the regulation term lambda/alpha is 0.9692673614664643 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30194166918601967 the lambda is 0.4711578542309632 the regulation term lambda/alpha is 1.560426739049035 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3250964326116107 the lambda is 0.4706132374501005 the regulation term lambda/alpha is 1.4476112016041012 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37159067844614274 the lambda is 0.7663075143734649 the regulation term lambda/alpha is 2.0622355694655328 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2894351219343576 the lambda is 0.37536733166635 the regulation term lambda/alpha is 1.2968962756063909 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40887112891901817 the lambda is 0.571269521456594 the regulation term lambda/alpha is 1.3971872334613795 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2870804180687367 the lambda is 0.3910261160900335 the regulation term lambda/alpha is 1.3620786771893607 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30500547933561956 the lambda is 0.4329659959967957 the regulation term lambda/alpha is 1.419535140614218 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.41248313786326923 the lambda is 0.6882955817636578 the regulation term lambda/alpha is 1.668663561204326 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31906202639246134 the lambda is 0.41167398186913245 the regulation term lambda/alpha is 1.290263170844261 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.224140870827428 the lambda is 0.47786549935257794 the regulation term lambda/alpha is 2.131987341659341 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31946400526792473 the lambda is 0.4746430698578676 the regulation term lambda/alpha is 1.4857481970771602 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3261173582268502 the lambda is 0.4665618969303102 the regulation term lambda/alpha is 1.4306564344415102 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3124594634534199 the lambda is 0.5030270197339732 the regulation term lambda/alpha is 1.6098952938545332 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5440939768939919 the lambda is 0.43709570622929395 the regulation term lambda/alpha is 0.8033459747606343 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2917781939468598 the lambda is 0.5357667839171253 the regulation term lambda/alpha is 1.836212558141689 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30132327013393845 the lambda is 0.42556343321258144 the regulation term lambda/alpha is 1.4123151956482423 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3803158013538465 the lambda is 0.655313115335768 the regulation term lambda/alpha is 1.723076225081859 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.48025946562130717 the lambda is 0.5172624993666661 the regulation term lambda/alpha is 1.0770480050767735 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4070839131051109 the lambda is 0.534587940968751 the regulation term lambda/alpha is 1.3132131331132162 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4101823761482023 the lambda is 0.6304742525303562 the regulation term lambda/alpha is 1.537058365234494 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3465570196103582 the lambda is 0.576178297974526 the regulation term lambda/alpha is 1.6625786389274013 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3655645832329603 the lambda is 0.5234517312804557 the regulation term lambda/alpha is 1.4318994653453068 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.43175397594679993 the lambda is 0.37448961063799385 the regulation term lambda/alpha is 0.867368064918846 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24096605894852396 the lambda is 0.3227263654344665 the regulation term lambda/alpha is 1.3393021691217037 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3700076641377433 the lambda is 0.452037878656944 the regulation term lambda/alpha is 1.2216986902429763 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.31326454244877616 the lambda is 0.3394136649858716 the regulation term lambda/alpha is 1.0834729725001395 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23576509122779662 the lambda is 0.29361185392949135 the regulation term lambda/alpha is 1.245357624406758 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5025699751785351 the lambda is 0.44099992365450164 the regulation term lambda/alpha is 0.877489594355172 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27578398997394754 the lambda is 0.574801015229348 the regulation term lambda/alpha is 2.0842435968949746 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3535770416473717 the lambda is 0.5316358239746087 the regulation term lambda/alpha is 1.5035926017640535 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2550671589902572 the lambda is 0.48291864774894794 the regulation term lambda/alpha is 1.893299982877819 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.35008090919363677 the lambda is 0.5751401139355116 the regulation term lambda/alpha is 1.6428776857906011 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2587255678175579 the lambda is 0.5645211880011668 the regulation term lambda/alpha is 2.181930424438155 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28713836047449703 the lambda is 0.6628331303282943 the regulation term lambda/alpha is 2.308410235514894 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.261273782340392 the lambda is 0.4795341195363172 the regulation term lambda/alpha is 1.8353702206200386 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24333620311908477 the lambda is 0.44694580420499186 the regulation term lambda/alpha is 1.8367419170515449 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.356187227335774 the lambda is 0.4535777673816972 the regulation term lambda/alpha is 1.2734251331087572 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2560424793674115 the lambda is 0.43243805160657134 the regulation term lambda/alpha is 1.688930886292656 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2404905602821338 the lambda is 0.5670394429849062 the regulation term lambda/alpha is 2.3578449080066943 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.312241681755524 the lambda is 0.4786702807635528 the regulation term lambda/alpha is 1.5330121144374869 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4249519321231846 the lambda is 0.6135114476644814 the regulation term lambda/alpha is 1.443719633416415 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.22143126373237532 the lambda is 0.34813497322070763 the regulation term lambda/alpha is 1.5722033436139715 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4077223901468622 the lambda is 0.4432988681162548 the regulation term lambda/alpha is 1.0872566207526104 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4305861769352147 the lambda is 0.6427818177188565 the regulation term lambda/alpha is 1.4928064395703262 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3218250174804581 the lambda is 0.5325463711106979 the regulation term lambda/alpha is 1.6547699594020382 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3042638332938284 the lambda is 0.757092804871586 the regulation term lambda/alpha is 2.4882773502050095 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.258506533451778 the lambda is 0.3454895393712307 the regulation term lambda/alpha is 1.336482814410873 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2983436487478274 the lambda is 0.5615238316465837 the regulation term lambda/alpha is 1.8821377093272977 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.275059823675588 the lambda is 0.34872244796195184 the regulation term lambda/alpha is 1.267805829662871 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.38828608200290693 the lambda is 0.3628929466298364 the regulation term lambda/alpha is 0.9346019943798026 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30201620085711356 the lambda is 0.48017372660916224 the regulation term lambda/alpha is 1.589893936969085 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3277226120262318 the lambda is 0.546538292751637 the regulation term lambda/alpha is 1.6676856362535357 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.374311651096373 the lambda is 0.6722359621417532 the regulation term lambda/alpha is 1.795925828578268 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.26604334235307914 the lambda is 0.39694927987835865 the regulation term lambda/alpha is 1.4920474098973988 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.44930065344428094 the lambda is 0.412237820309995 the regulation term lambda/alpha is 0.9175099505193971 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3618427416118748 the lambda is 0.6331784769724643 the regulation term lambda/alpha is 1.7498719862443275 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3393465616586601 the lambda is 0.4249215013790132 the regulation term lambda/alpha is 1.2521756498786356 80 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3138425344494663 the lambda is 0.4025145896615322 the regulation term lambda/alpha is 1.282536767578722 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.363436937807998 the lambda is 0.5799693189110497 the regulation term lambda/alpha is 1.5957907922321444 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2728189934189238 the lambda is 0.5456209388243068 the regulation term lambda/alpha is 1.9999375116324303 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.37007288159136154 the lambda is 0.4433900702761977 the regulation term lambda/alpha is 1.1981155397541228 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2823339283088386 the lambda is 0.4682291431715331 the regulation term lambda/alpha is 1.65842322237428 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2530128849680611 the lambda is 0.3872470441590978 the regulation term lambda/alpha is 1.530542779305416 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33408458594523804 the lambda is 0.46314448927830376 the regulation term lambda/alpha is 1.3863090629216301 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3422106137172244 the lambda is 0.361181909956327 the regulation term lambda/alpha is 1.055437486386027 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.5863519510877349 the lambda is 0.5272028175818986 the regulation term lambda/alpha is 0.899123498444732 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26734075389305473 the lambda is 0.43929262945534886 the regulation term lambda/alpha is 1.6431936510176846 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3037521234026921 the lambda is 0.4845401793199772 the regulation term lambda/alpha is 1.5951828546647218 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3168362167194736 the lambda is 0.30175121512154407 the regulation term lambda/alpha is 0.9523886449784061 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2749480514135009 the lambda is 0.4391312470437659 the regulation term lambda/alpha is 1.5971426048891904 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5150462962445586 the lambda is 0.5941599420989357 the regulation term lambda/alpha is 1.153604921404603 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3285255565071662 the lambda is 0.5775338102703932 the regulation term lambda/alpha is 1.757957025963657 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37968963025205427 the lambda is 0.7005434509422257 the regulation term lambda/alpha is 1.8450423586158382 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24576307640533715 the lambda is 0.5911317435394035 the regulation term lambda/alpha is 2.405291112829535 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30588068326254053 the lambda is 0.4467430255372927 the regulation term lambda/alpha is 1.4605140173361277 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36508305244168066 the lambda is 0.4363473230196269 the regulation term lambda/alpha is 1.1952001608985403 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3542791546974879 the lambda is 0.48507071459242584 the regulation term lambda/alpha is 1.3691765608016604 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4437899498957513 the lambda is 0.48415035966467374 the regulation term lambda/alpha is 1.0909448485221518 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23704346309431237 the lambda is 0.33055080388233155 the regulation term lambda/alpha is 1.3944733998035435 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2377939492611087 the lambda is 0.4189551227196426 the regulation term lambda/alpha is 1.7618409720745694 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22826462803255196 the lambda is 0.5341815555574314 the regulation term lambda/alpha is 2.3401854249676117 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25494655727132004 the lambda is 0.5061213225563643 the regulation term lambda/alpha is 1.9852055582681913 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3395992324427623 the lambda is 0.616322972993871 the regulation term lambda/alpha is 1.8148538456951577 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23350738417247077 the lambda is 0.6041668271486452 the regulation term lambda/alpha is 2.5873564096902473 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3788788436124602 the lambda is 0.34870869784853736 the regulation term lambda/alpha is 0.9203699381146162 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3119618216031081 the lambda is 0.37737866941183146 the regulation term lambda/alpha is 1.2096950436837417 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23955003591678178 the lambda is 0.38813008044854935 the regulation term lambda/alpha is 1.6202463880380438 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23245732201834793 the lambda is 0.37981598370900194 the regulation term lambda/alpha is 1.633917058026776 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2556146997569232 the lambda is 0.5910523169512242 the regulation term lambda/alpha is 2.3122782747364896 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.16768413670999896 the lambda is 0.48361967457857147 the regulation term lambda/alpha is 2.8841110677926958 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.19062274860755968 the lambda is 0.5967151384510436 the regulation term lambda/alpha is 3.1303458942327893 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2893860289687223 the lambda is 0.5762386298143054 the regulation term lambda/alpha is 1.9912455064532055 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.31846120040920795 the lambda is 0.4782104172383216 the regulation term lambda/alpha is 1.5016285080375358 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.35280241858081673 the lambda is 0.2911067688888087 the regulation term lambda/alpha is 0.8251269083126329 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.22649707642484138 the lambda is 0.39316309713146486 the regulation term lambda/alpha is 1.7358418189646185 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4526031716080968 the lambda is 0.4994319647549492 the regulation term lambda/alpha is 1.1034654551369358 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3970901040682199 the lambda is 0.4929150184901968 the regulation term lambda/alpha is 1.2413178103413887 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3484702511558629 the lambda is 0.3216893308387475 the regulation term lambda/alpha is 0.9231471833584529 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5302902735394354 the lambda is 0.5411570871993155 the regulation term lambda/alpha is 1.0204921987109992 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.336089170850112 the lambda is 0.4718854171797645 the regulation term lambda/alpha is 1.4040482648880541 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3925294532648385 the lambda is 0.501786156547556 the regulation term lambda/alpha is 1.2783401407817474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4162648140782512 the lambda is 0.44608898967224175 the regulation term lambda/alpha is 1.071647121220253 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.19360034606044838 the lambda is 0.45406474293083354 the regulation term lambda/alpha is 2.3453715459220286 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2877742630633542 the lambda is 0.5973319932011656 the regulation term lambda/alpha is 2.0756963699344495 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3310617950708128 the lambda is 0.49084798933602175 the regulation term lambda/alpha is 1.48264764054406 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30813596999147935 the lambda is 0.6793820514489416 the regulation term lambda/alpha is 2.2048125425529776 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27377163956938266 the lambda is 0.5706630123718572 the regulation term lambda/alpha is 2.0844489709359855 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.29474817830605404 the lambda is 0.6446897329664696 the regulation term lambda/alpha is 2.1872560389399625 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2787498108849047 the lambda is 0.3926756203804431 the regulation term lambda/alpha is 1.4087027328695774 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.254078031111935 the lambda is 0.5222749140331157 the regulation term lambda/alpha is 2.0555689594549227 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30582379334279314 the lambda is 0.35719731041032576 the regulation term lambda/alpha is 1.1679840423990453 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2503553837683648 the lambda is 0.7357771981289155 the regulation term lambda/alpha is 2.9389309990220758 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31866817950315446 the lambda is 0.6754483119669964 the regulation term lambda/alpha is 2.1195976109698464 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5237305796430983 the lambda is 0.5605978810991473 the regulation term lambda/alpha is 1.070393639189777 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.49295511669602354 the lambda is 0.4586911981490115 the regulation term lambda/alpha is 0.9304928230045321 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3252961227991036 the lambda is 0.5100641297858314 the regulation term lambda/alpha is 1.5679994135707447 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.1940172416607352 the lambda is 0.5379995057618929 the regulation term lambda/alpha is 2.77294688429112 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3218233660689531 the lambda is 0.49684223108788744 the regulation term lambda/alpha is 1.543835170071011 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24581106557048477 the lambda is 0.4019692488092832 the regulation term lambda/alpha is 1.6352772723082356 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33741442758175244 the lambda is 0.36616176302340203 the regulation term lambda/alpha is 1.0851988921981837 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32684091894526995 the lambda is 0.6744011558922153 the regulation term lambda/alpha is 2.0633926684227224 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28202197850783545 the lambda is 0.6611929732498532 the regulation term lambda/alpha is 2.344473210024953 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28724216245967493 the lambda is 0.4951660015516014 the regulation term lambda/alpha is 1.7238625322670598 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25261562462563875 the lambda is 0.36726570581641066 the regulation term lambda/alpha is 1.453851899939588 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3937746643917249 the lambda is 0.3924072296907782 the regulation term lambda/alpha is 0.996527367490595 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.26355430268029423 the lambda is 0.38399917787193655 the regulation term lambda/alpha is 1.4570021204994272 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.21733853081537147 the lambda is 0.5105712351820068 the regulation term lambda/alpha is 2.3491979690234297 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5504490705702757 the lambda is 0.44590710412873064 the regulation term lambda/alpha is 0.8100787665364979 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28962190586882297 the lambda is 0.4670232312454617 the regulation term lambda/alpha is 1.6125273046749034 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2646275493351617 the lambda is 0.36278825257469166 the regulation term lambda/alpha is 1.3709390934018189 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.34892411896200803 the lambda is 0.5590919618836301 the regulation term lambda/alpha is 1.6023310843252592 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.385992771922649 the lambda is 0.5278058201623148 the regulation term lambda/alpha is 1.3673981964306947 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4031550098516312 the lambda is 0.5259325148073888 the regulation term lambda/alpha is 1.3045416823691265 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.437910458135276 the lambda is 0.5251449134298215 the regulation term lambda/alpha is 1.1992061474530888 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26292221568117186 the lambda is 0.41222499334458823 the regulation term lambda/alpha is 1.5678591186241404 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31033683365141 the lambda is 0.38248669744186586 the regulation term lambda/alpha is 1.2324888829390428 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2894743561554499 the lambda is 0.43092993280471203 the regulation term lambda/alpha is 1.488663585016489 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.331356813030771 the lambda is 0.4693174759596497 the regulation term lambda/alpha is 1.4163507660126702 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2961958039832869 the lambda is 0.4195840639689393 the regulation term lambda/alpha is 1.416576664241384 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29399283154798767 the lambda is 0.6620127457726527 the regulation term lambda/alpha is 2.251798937705031 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2552409930720255 the lambda is 0.5099355550226883 the regulation term lambda/alpha is 1.9978591561066033 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3561840158230854 the lambda is 0.5130636613168793 the regulation term lambda/alpha is 1.440445495936334 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36249685986703534 the lambda is 0.41133848620227037 the regulation term lambda/alpha is 1.134736688072692 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4211916266682696 the lambda is 0.4404942401388721 the regulation term lambda/alpha is 1.0458285783677397 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.44321959417340967 the lambda is 0.48744667378492557 the regulation term lambda/alpha is 1.0997859304798967 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.33594652606493836 the lambda is 0.5389912663055202 the regulation term lambda/alpha is 1.6043960109333988 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3471905848973535 the lambda is 0.44592468003285984 the regulation term lambda/alpha is 1.284380105424509 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24718514094348865 the lambda is 0.3828836614768377 the regulation term lambda/alpha is 1.5489752337676819 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.41090754136919244 the lambda is 0.439772879153706 the regulation term lambda/alpha is 1.070247768362515 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34842303345458514 the lambda is 0.43486362476120854 the regulation term lambda/alpha is 1.2480909211126836 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2768860203534004 the lambda is 0.504573645787669 the regulation term lambda/alpha is 1.8223153525182023 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33612524043293585 the lambda is 0.5081278917000873 the regulation term lambda/alpha is 1.5117219136700615 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2957316851906903 the lambda is 0.6761530359731387 the regulation term lambda/alpha is 2.286373323633379 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.32072700901957096 the lambda is 0.5913063030858609 the regulation term lambda/alpha is 1.8436436173349497 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2436261040849496 the lambda is 0.39020288371133693 the regulation term lambda/alpha is 1.6016464457982618 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31351604566113017 the lambda is 0.6200427242201167 the regulation term lambda/alpha is 1.9777065091280903 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.31764060472609923 the lambda is 0.40917887815310605 the regulation term lambda/alpha is 1.2881819013848688 90 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23276869941573786 the lambda is 0.4546154501491198 the regulation term lambda/alpha is 1.9530781041017518 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.31220306900657097 the lambda is 0.4896928585262275 the regulation term lambda/alpha is 1.568507510462432 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.33147001534931075 the lambda is 0.3935205007038183 the regulation term lambda/alpha is 1.187197883612843 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.39863680481812136 the lambda is 0.5641316462632026 the regulation term lambda/alpha is 1.4151519364113618 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41906717215082645 the lambda is 0.6346958018313004 the regulation term lambda/alpha is 1.5145443117717343 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35534959382569653 the lambda is 0.4545099508735056 the regulation term lambda/alpha is 1.279050148841449 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2669195200948329 the lambda is 0.4602999545037626 the regulation term lambda/alpha is 1.7244896676729535 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24466139321725633 the lambda is 0.34618761931851666 the regulation term lambda/alpha is 1.4149662714096714 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.22576601682034586 the lambda is 0.4059860508040876 the regulation term lambda/alpha is 1.7982602365135958 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4817683099674461 the lambda is 0.48586920691281527 the regulation term lambda/alpha is 1.008512176622091 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35535208687499936 the lambda is 0.47808338885556806 the regulation term lambda/alpha is 1.3453794321566523 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.32292946394720407 the lambda is 0.3730446570234325 the regulation term lambda/alpha is 1.1551892864270255 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4178399500968965 the lambda is 0.4438582192494557 the regulation term lambda/alpha is 1.0622685053129208 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3131205431382332 the lambda is 0.616708971780207 the regulation term lambda/alpha is 1.9695576840767959 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2179489794235055 the lambda is 0.4097604090317115 the regulation term lambda/alpha is 1.88007491531075 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37152050993991215 the lambda is 0.5684038000813074 the regulation term lambda/alpha is 1.5299392223951194 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.27709711100937384 the lambda is 0.5039577636112371 the regulation term lambda/alpha is 1.8187045031811568 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31982866865263987 the lambda is 0.5147897185248335 the regulation term lambda/alpha is 1.6095796561750293 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3875862406322447 the lambda is 0.6102234114537607 the regulation term lambda/alpha is 1.57441969678372 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.29336237958656836 the lambda is 0.4941654639159323 the regulation term lambda/alpha is 1.6844881903819877 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3993124046964779 the lambda is 0.6286919200966348 the regulation term lambda/alpha is 1.574436237648342 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2859068754416334 the lambda is 0.6760198637251703 the regulation term lambda/alpha is 2.364475714971663 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4147050101480908 the lambda is 0.4430909505204435 the regulation term lambda/alpha is 1.0684485108154735 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3488023793201726 the lambda is 0.5189671549846684 the regulation term lambda/alpha is 1.4878544005237366 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29592735983484847 the lambda is 0.6355686654775433 the regulation term lambda/alpha is 2.147718500351716 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3770192677392138 the lambda is 0.5229924261041193 the regulation term lambda/alpha is 1.387176918676411 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29258012694126995 the lambda is 0.44700724905135625 the regulation term lambda/alpha is 1.5278113852930437 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31288661895646597 the lambda is 0.39184928091541277 the regulation term lambda/alpha is 1.2523682930970386 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28953022230406444 the lambda is 0.40975722556827215 the regulation term lambda/alpha is 1.4152485440291804 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41631243303300297 the lambda is 0.6538888709087265 the regulation term lambda/alpha is 1.5706686109393466 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3394868889084915 the lambda is 0.4556943953099654 the regulation term lambda/alpha is 1.3423033707578544 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.381660663181191 the lambda is 0.7636697359625263 the regulation term lambda/alpha is 2.0009128779404204 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3610043177793022 the lambda is 0.458591138733868 the regulation term lambda/alpha is 1.2703203705564123 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3789946736660704 the lambda is 0.479927929513521 the regulation term lambda/alpha is 1.266318401974119 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36456654696478014 the lambda is 0.5370413961104169 the regulation term lambda/alpha is 1.4730956545014513 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.2305564104173978 the lambda is 0.3632632285702638 the regulation term lambda/alpha is 1.575593703565277 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3025789188336201 the lambda is 0.40227294601483377 the regulation term lambda/alpha is 1.3294810741128753 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2451423997400086 the lambda is 0.4075731206239934 the regulation term lambda/alpha is 1.6625974170778064 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5319597854756275 the lambda is 0.5783325491258572 the regulation term lambda/alpha is 1.087173438512401 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.20981128979195182 the lambda is 0.4616619981601219 the regulation term lambda/alpha is 2.200367761991761 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3154125419380417 the lambda is 0.4552294787173431 the regulation term lambda/alpha is 1.4432827430393256 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.48698685940848885 the lambda is 0.5057165718057294 the regulation term lambda/alpha is 1.0384604061390696 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28314250197158986 the lambda is 0.4352807695061533 the regulation term lambda/alpha is 1.5373204887121779 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26853377286658103 the lambda is 0.4562887895443779 the regulation term lambda/alpha is 1.699185859095204 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37816677699624707 the lambda is 0.5167367971202358 the regulation term lambda/alpha is 1.3664256845211018 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38214050261285193 the lambda is 0.4306144692124347 the regulation term lambda/alpha is 1.1268485446272936 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4244076163853396 the lambda is 0.6150180988120747 the regulation term lambda/alpha is 1.4491212576488517 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4484863899699713 the lambda is 0.4149524206723458 the regulation term lambda/alpha is 0.9252285686977685 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24555029160165903 the lambda is 0.428229534994806 the regulation term lambda/alpha is 1.7439585683306624 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2682302175425934 the lambda is 0.45871788023195653 the regulation term lambda/alpha is 1.7101648145183896 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3016220461073599 the lambda is 0.5351690095539845 the regulation term lambda/alpha is 1.7743033589908594 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30981587546815664 the lambda is 0.5049070034789609 the regulation term lambda/alpha is 1.629700229905927 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23722505392385285 the lambda is 0.4694604586735103 the regulation term lambda/alpha is 1.9789666011592644 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.31380573101239645 the lambda is 0.37355768557939856 the regulation term lambda/alpha is 1.1904106543058695 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4275405261469652 the lambda is 0.4491946107268969 the regulation term lambda/alpha is 1.0506480280947408 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40807722331846435 the lambda is 0.47916928738687786 the regulation term lambda/alpha is 1.1742122814164835 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24595944142601042 the lambda is 0.3504531947102504 the regulation term lambda/alpha is 1.4248413993722366 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30711387583255484 the lambda is 0.42528532801821506 the regulation term lambda/alpha is 1.3847805699606026 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3519723273188509 the lambda is 0.4742319888242492 the regulation term lambda/alpha is 1.3473558914040522 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.46757812724120773 the lambda is 0.6228060776407919 the regulation term lambda/alpha is 1.3319829165565464 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31141701552360174 the lambda is 0.38396530236497134 the regulation term lambda/alpha is 1.2329618589382163 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.297671996910081 the lambda is 0.3768007453715182 the regulation term lambda/alpha is 1.2658253019525378 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2612408003234875 the lambda is 0.5287456419464186 the regulation term lambda/alpha is 2.0239780359411204 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2590146930948346 the lambda is 0.4160989708868327 the regulation term lambda/alpha is 1.6064685980361888 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.21242839779150757 the lambda is 0.4373815354441036 the regulation term lambda/alpha is 2.0589598188909806 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2771946944243658 the lambda is 0.4843723089835015 the regulation term lambda/alpha is 1.7474082972236156 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.48737938701365097 the lambda is 0.49252026920945374 the regulation term lambda/alpha is 1.010548009072158 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.39113402327246305 the lambda is 0.4105406025155333 the regulation term lambda/alpha is 1.0496161880286023 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.32097386739722517 the lambda is 0.5448281837801786 the regulation term lambda/alpha is 1.697422248727557 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.27847418328789814 the lambda is 0.48562652837303155 the regulation term lambda/alpha is 1.7438834819060076 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.32557840074003874 the lambda is 0.5295489545605292 the regulation term lambda/alpha is 1.626486748988465 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.4610092879288311 the lambda is 0.5677583640361639 the regulation term lambda/alpha is 1.2315551527972952 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3066498043194681 the lambda is 0.3785078554188359 the regulation term lambda/alpha is 1.2343326168390638 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24008413041951357 the lambda is 0.4745860110315359 the regulation term lambda/alpha is 1.9767487763654472 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.19565452640622408 the lambda is 0.4978740774421767 the regulation term lambda/alpha is 2.5446591325389267 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2484030051731845 the lambda is 0.43802762170027076 the regulation term lambda/alpha is 1.7633748891036223 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2563807716259098 the lambda is 0.5853072629288404 the regulation term lambda/alpha is 2.2829608445943586 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33728772616339336 the lambda is 0.4615737500019667 the regulation term lambda/alpha is 1.3684866486317533 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.18963013805800763 the lambda is 0.3416738738272127 the regulation term lambda/alpha is 1.8017909881112626 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25491094556146543 the lambda is 0.4117823575854457 the regulation term lambda/alpha is 1.6153969249082505 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3438768161499059 the lambda is 0.5750079453162426 the regulation term lambda/alpha is 1.6721335033693574 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23587609905786502 the lambda is 0.37048544340633605 the regulation term lambda/alpha is 1.57067818607365 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4607000479407079 the lambda is 0.7106553688516647 the regulation term lambda/alpha is 1.5425554480149002 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.21619844649953637 the lambda is 0.43803310429817355 the regulation term lambda/alpha is 2.02606961978847 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2809527777610786 the lambda is 0.5314455413899053 the regulation term lambda/alpha is 1.8915831536709171 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35954273269511006 the lambda is 0.6866144239622062 the regulation term lambda/alpha is 1.9096879495112777 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3576844857323248 the lambda is 0.4487601755717048 the regulation term lambda/alpha is 1.2546257762701427 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.284990406547171 the lambda is 0.5204874395168493 the regulation term lambda/alpha is 1.8263331942392922 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.37966712773475336 the lambda is 0.6339038478277291 the regulation term lambda/alpha is 1.6696305830053135 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24672772030708795 the lambda is 0.44359576901278697 the regulation term lambda/alpha is 1.7979162149298367 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26360123306950195 the lambda is 0.5118836085254893 the regulation term lambda/alpha is 1.9418862444794573 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2785641432007231 the lambda is 0.4426631454187499 the regulation term lambda/alpha is 1.5890887475053928 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3332479137753805 the lambda is 0.7321439731859208 the regulation term lambda/alpha is 2.196994918562067 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30761793396231785 the lambda is 0.47755081032047497 the regulation term lambda/alpha is 1.552415375037833 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.33380882419816993 the lambda is 0.4273201091600652 the regulation term lambda/alpha is 1.280134251053774 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28588675408114617 the lambda is 0.5225185196630535 the regulation term lambda/alpha is 1.8277115403350996 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34208033002068 the lambda is 0.4901906815941592 the regulation term lambda/alpha is 1.4329695062107937 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3111388946049582 the lambda is 0.5198454009147574 the regulation term lambda/alpha is 1.6707824380966136 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4045008088376553 the lambda is 0.3982893002990656 the regulation term lambda/alpha is 0.9846440145411856 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.36302506896328873 the lambda is 0.489138739399724 the regulation term lambda/alpha is 1.3473965883308976 100 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3531122405605171 the lambda is 0.44668741952806207 the regulation term lambda/alpha is 1.2650012325231412 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31899974374784756 the lambda is 0.4759262676367652 the regulation term lambda/alpha is 1.4919330719367592 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4259059862291824 the lambda is 0.5119374766857451 the regulation term lambda/alpha is 1.2019964340446454 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24723166612541123 the lambda is 0.40417646119658085 the regulation term lambda/alpha is 1.6348086292132071 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26145332100400653 the lambda is 0.3161872613846437 the regulation term lambda/alpha is 1.2093449804747305 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40954098061522926 the lambda is 0.5189544700957375 the regulation term lambda/alpha is 1.2671612723985346 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.320530471650239 the lambda is 0.5941536535681567 the regulation term lambda/alpha is 1.8536573153534488 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3021103840670433 the lambda is 0.4598104215285621 the regulation term lambda/alpha is 1.5219947601222557 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31222990172045234 the lambda is 0.5180461345456772 the regulation term lambda/alpha is 1.65918168532589 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25056942028466256 the lambda is 0.48982555925144583 the regulation term lambda/alpha is 1.9548497126863018 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28707400307190817 the lambda is 0.5175006321258587 the regulation term lambda/alpha is 1.8026732709622326 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23085482015903905 the lambda is 0.3751420546619555 the regulation term lambda/alpha is 1.625012873473965 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2723006896538995 the lambda is 0.4374969070747406 the regulation term lambda/alpha is 1.6066683768991161 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3712547037716479 the lambda is 0.5674349822676615 the regulation term lambda/alpha is 1.5284250313948362 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30347734601111565 the lambda is 0.38283078945407534 the regulation term lambda/alpha is 1.261480616217242 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27973660373060066 the lambda is 0.4525614503012767 the regulation term lambda/alpha is 1.617812771964281 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36404622903867695 the lambda is 0.4915884033874851 the regulation term lambda/alpha is 1.3503460939167093 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3627554663582921 the lambda is 0.4976336588816906 the regulation term lambda/alpha is 1.3718157409933551 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38763649040978004 the lambda is 0.5390375319880004 the regulation term lambda/alpha is 1.3905747919092204 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3039003589747326 the lambda is 0.48298985810649003 the regulation term lambda/alpha is 1.5893033484262766 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3265618681824967 the lambda is 0.5995679756066037 the regulation term lambda/alpha is 1.836001180859057 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2635211240466224 the lambda is 0.40312489493383635 the regulation term lambda/alpha is 1.5297631125105366 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2906151726128953 the lambda is 0.4906794724070859 the regulation term lambda/alpha is 1.688416568190264 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3810180299007237 the lambda is 0.5998943553961814 the regulation term lambda/alpha is 1.5744513600904586 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2496399986548043 the lambda is 0.4641362170131496 the regulation term lambda/alpha is 1.8592221579641375 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.35589361619641807 the lambda is 0.5453460561107989 the regulation term lambda/alpha is 1.5323288513548998 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3993792535215829 the lambda is 0.37762127549441066 the regulation term lambda/alpha is 0.9455205100532434 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37544150926123915 the lambda is 0.48353456105427844 the regulation term lambda/alpha is 1.2879091659463422 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3292735773396721 the lambda is 0.4678337621396109 the regulation term lambda/alpha is 1.4208056592922513 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35210449074969663 the lambda is 0.5458593624710646 the regulation term lambda/alpha is 1.5502766275682183 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24624695638225344 the lambda is 0.4487416301513796 the regulation term lambda/alpha is 1.8223235598282488 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.364748052240078 the lambda is 0.555927246821493 the regulation term lambda/alpha is 1.5241404125595726 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28452297646009206 the lambda is 0.46487342803387105 the regulation term lambda/alpha is 1.633869551828885 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2729168047414445 the lambda is 0.6058065188765469 the regulation term lambda/alpha is 2.21974795377835 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.49191493413887305 the lambda is 0.4577961220382049 the regulation term lambda/alpha is 0.9306408288652688 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29752690890315464 the lambda is 0.5153370263606745 the regulation term lambda/alpha is 1.7320686329195767 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.46569873374421855 the lambda is 0.5194464045456563 the regulation term lambda/alpha is 1.1154129631603384 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2738678585792784 the lambda is 0.45468747033442786 the regulation term lambda/alpha is 1.6602440048758271 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27313220045947784 the lambda is 0.40315327364536324 the regulation term lambda/alpha is 1.476037145994346 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4003590734971092 the lambda is 0.5141432992019811 the regulation term lambda/alpha is 1.2842054376611836 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.23931492609053162 the lambda is 0.4099602681776119 the regulation term lambda/alpha is 1.713057663701787 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23336323014177696 the lambda is 0.5174862374399356 the regulation term lambda/alpha is 2.217514032204402 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23199582960061224 the lambda is 0.355842810820885 the regulation term lambda/alpha is 1.5338327910181793 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5082282104261379 the lambda is 0.4301434064986015 the regulation term lambda/alpha is 0.8463587767745832 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3388181353479878 the lambda is 0.5026831047306186 the regulation term lambda/alpha is 1.4836369494045265 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5085521478167481 the lambda is 0.6956698688711146 the regulation term lambda/alpha is 1.3679420524673365 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39784144145593614 the lambda is 0.495221206476976 the regulation term lambda/alpha is 1.2447702900549273 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28128056693879144 the lambda is 0.5012849818678149 the regulation term lambda/alpha is 1.782152913453484 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2807725826253309 the lambda is 0.4946614528282592 the regulation term lambda/alpha is 1.7617868817638305 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.42832958677243455 the lambda is 0.646661839514862 the regulation term lambda/alpha is 1.5097295621990836 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.40946518011909927 the lambda is 0.6514597222614208 the regulation term lambda/alpha is 1.591001515860112 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2124938134231832 the lambda is 0.4012504501866433 the regulation term lambda/alpha is 1.8882923870708166 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42812152346489035 the lambda is 0.5305800209230417 the regulation term lambda/alpha is 1.239321061526947 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3549739104911756 the lambda is 0.3998145686403308 the regulation term lambda/alpha is 1.1263209966251024 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.34140151263055135 the lambda is 0.40820064345604773 the regulation term lambda/alpha is 1.1956614963735772 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.691743171794632 the lambda is 0.4361994659020652 the regulation term lambda/alpha is 0.6305800818682548 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26036491194541644 the lambda is 0.43223820753259656 the regulation term lambda/alpha is 1.6601246469924185 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27614712599916735 the lambda is 0.37942360837095324 the regulation term lambda/alpha is 1.373990792039231 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4164132586942241 the lambda is 0.6083044122954889 the regulation term lambda/alpha is 1.460819029161058 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28439681540466294 the lambda is 0.36580605606126493 the regulation term lambda/alpha is 1.286252293439947 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25187866165356754 the lambda is 0.41369701610411047 the regulation term lambda/alpha is 1.6424456656558981 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26014276811119563 the lambda is 0.30846589573012234 the regulation term lambda/alpha is 1.185756182921339 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37439160823919365 the lambda is 0.49679894064890984 the regulation term lambda/alpha is 1.3269499895721804 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.38301814547061325 the lambda is 0.39927158149324077 the regulation term lambda/alpha is 1.0424351593125099 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3222947237772552 the lambda is 0.4808352380589652 the regulation term lambda/alpha is 1.4919116032171869 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3000200407954734 the lambda is 0.4193230766763902 the regulation term lambda/alpha is 1.3976502221804803 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34651263061552734 the lambda is 0.49350410863918437 the regulation term lambda/alpha is 1.4242023667724575 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2564718046310237 the lambda is 0.4747343077481672 the regulation term lambda/alpha is 1.8510194850897919 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29184159330343445 the lambda is 0.42689319280712146 the regulation term lambda/alpha is 1.4627565179281032 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.35138587874069516 the lambda is 0.4548408718264974 the regulation term lambda/alpha is 1.2944198937548848 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2643251168289764 the lambda is 0.4929932733506938 the regulation term lambda/alpha is 1.8651018838655058 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2942768346845289 the lambda is 0.5102083157724274 the regulation term lambda/alpha is 1.733769891603536 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2720053615715746 the lambda is 0.46427355284143296 the regulation term lambda/alpha is 1.706854416982753 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.241223422696633 the lambda is 0.43573559590234456 the regulation term lambda/alpha is 1.806356907763197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3261392208613144 the lambda is 0.5644075000079684 the regulation term lambda/alpha is 1.730572295222272 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3309423049549097 the lambda is 0.45903295218840445 the regulation term lambda/alpha is 1.3870482719063277 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2681058868734091 the lambda is 0.5072912501274016 the regulation term lambda/alpha is 1.892130217815501 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.34761451313982145 the lambda is 0.3407620204082189 the regulation term lambda/alpha is 0.9802870925333136 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3502412952078546 the lambda is 0.5703645219610074 the regulation term lambda/alpha is 1.628490214503456 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.3497822513358191 the lambda is 0.39802592879487453 the regulation term lambda/alpha is 1.1379248869112506 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3729532789765826 the lambda is 0.5573680491937774 the regulation term lambda/alpha is 1.4944715078608386 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36350595980330286 the lambda is 0.578743253550447 the regulation term lambda/alpha is 1.5921148964479466 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.46573799677303573 the lambda is 0.524246921821431 the regulation term lambda/alpha is 1.125626265097086 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.381113906451305 the lambda is 0.7954518779589981 the regulation term lambda/alpha is 2.0871762076743665 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34569585713033424 the lambda is 0.46987144068789893 the regulation term lambda/alpha is 1.3592047199765775 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27478764402110806 the lambda is 0.46392042940789613 the regulation term lambda/alpha is 1.6882870809586317 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2904413144716446 the lambda is 0.4917372884848269 the regulation term lambda/alpha is 1.6930693533713315 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30970945931924754 the lambda is 0.53851647841996 the regulation term lambda/alpha is 1.7387795632837255 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27660814460399213 the lambda is 0.47219315203689805 the regulation term lambda/alpha is 1.7070833279797906 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24158165709940554 the lambda is 0.4405228223763207 the regulation term lambda/alpha is 1.823494497328724 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.301745823689836 the lambda is 0.51790284091246 the regulation term lambda/alpha is 1.7163546278102308 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28457213541564735 the lambda is 0.4920228269300094 the regulation term lambda/alpha is 1.7289915831406284 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37638414835862644 the lambda is 0.5322694711779334 the regulation term lambda/alpha is 1.4141654835866688 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3592032344618995 the lambda is 0.4724530191449373 the regulation term lambda/alpha is 1.315280525947074 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3673933513411821 the lambda is 0.39356117867126333 the regulation term lambda/alpha is 1.071225642038852 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.3295680693575412 the lambda is 0.5164890685865907 the regulation term lambda/alpha is 1.567169627790194 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3293568868824357 the lambda is 0.5945136188170733 the regulation term lambda/alpha is 1.8050741991294252 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3202645888090066 the lambda is 0.44745572555518837 the regulation term lambda/alpha is 1.3971439278353488 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3586781533073898 the lambda is 0.6685107609588317 the regulation term lambda/alpha is 1.863817895777759 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30495647327562114 the lambda is 0.458993493854775 the regulation term lambda/alpha is 1.5051114964853836 110 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5194019443425069 the lambda is 0.6382297540920638 the regulation term lambda/alpha is 1.2287781380949143 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2909313882391724 the lambda is 0.4555397820539918 the regulation term lambda/alpha is 1.5657979869793084 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25828733945185195 the lambda is 0.35311606241206145 the regulation term lambda/alpha is 1.3671442942633538 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2401654351367346 the lambda is 0.36415626598385265 the regulation term lambda/alpha is 1.5162725884202517 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30352654891949593 the lambda is 0.44172497181286746 the regulation term lambda/alpha is 1.4553091760352923 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3017028403558722 the lambda is 0.42005840339846523 the regulation term lambda/alpha is 1.392291842208006 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3603265228945935 the lambda is 0.5695960323003771 the regulation term lambda/alpha is 1.5807774230014184 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31700992378360104 the lambda is 0.5060352940746761 the regulation term lambda/alpha is 1.596275876903174 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29358359753625507 the lambda is 0.5358512442869422 the regulation term lambda/alpha is 1.8252083862442934 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.6025277669024289 the lambda is 0.6041629093621191 the regulation term lambda/alpha is 1.0027138043248969 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.6377728493273143 the lambda is 0.7367823961382594 the regulation term lambda/alpha is 1.1552426493466672 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4696608094434555 the lambda is 0.5555547817033221 the regulation term lambda/alpha is 1.1828851173715138 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3370824262755638 the lambda is 0.4638903842835621 the regulation term lambda/alpha is 1.3761927295027039 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.32911021351112035 the lambda is 0.3993183359163085 the regulation term lambda/alpha is 1.2133270847360558 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4643367367970034 the lambda is 0.4323079899274629 the regulation term lambda/alpha is 0.9310225869904782 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2851181270981166 the lambda is 0.42926443605984477 the regulation term lambda/alpha is 1.5055669747442035 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.44111855743285344 the lambda is 0.5320197456426454 the regulation term lambda/alpha is 1.2060697440134989 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2972964737409712 the lambda is 0.7180081371962352 the regulation term lambda/alpha is 2.4151249699040234 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.18798949016053024 the lambda is 0.44811146178460587 the regulation term lambda/alpha is 2.383704862447093 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24609632682693647 the lambda is 0.4043714664601314 the regulation term lambda/alpha is 1.6431430394509687 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33706415176356014 the lambda is 0.5144315866388044 the regulation term lambda/alpha is 1.5262126925905248 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34891734074905995 the lambda is 0.48104328391536966 the regulation term lambda/alpha is 1.3786740518045337 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.403239976782382 the lambda is 0.4378112764049119 the regulation term lambda/alpha is 1.0857338101702827 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27386538013210243 the lambda is 0.49958931610358953 the regulation term lambda/alpha is 1.8242149331273865 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4922219086482056 the lambda is 0.5706052511594761 the regulation term lambda/alpha is 1.1592439124185585 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37180077924485266 the lambda is 0.5948938839004311 the regulation term lambda/alpha is 1.60003398892464 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3629039459021495 the lambda is 0.5078539150019856 the regulation term lambda/alpha is 1.399416900082203 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3299433090440596 the lambda is 0.5820529789446034 the regulation term lambda/alpha is 1.7640999619934037 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34495804142253905 the lambda is 0.3972407212472109 the regulation term lambda/alpha is 1.1515624323731326 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32633551420004603 the lambda is 0.4998528892439202 the regulation term lambda/alpha is 1.531714654070739 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32863662667570875 the lambda is 0.5965652875337324 the regulation term lambda/alpha is 1.8152732809128107 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29456334266077844 the lambda is 0.4485149182411825 the regulation term lambda/alpha is 1.5226433614915076 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24468619384969323 the lambda is 0.34603334994433244 the regulation term lambda/alpha is 1.4141923763663393 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.355935503632267 the lambda is 0.5116343247693209 the regulation term lambda/alpha is 1.4374354891494987 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39937468632843254 the lambda is 0.49954569151885814 the regulation term lambda/alpha is 1.2508196153124445 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37666484454712307 the lambda is 0.5540785457828753 the regulation term lambda/alpha is 1.4710121048038416 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23938976419765765 the lambda is 0.38611251848969036 the regulation term lambda/alpha is 1.6129032073856244 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30211625246069945 the lambda is 0.35522934654190097 the regulation term lambda/alpha is 1.1758034983176242 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5495894263389139 the lambda is 0.705614090765493 the regulation term lambda/alpha is 1.2838931335814376 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2605968710818031 the lambda is 0.422120820627078 the regulation term lambda/alpha is 1.6198230580234843 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5496885205625911 the lambda is 0.6152571533897758 the regulation term lambda/alpha is 1.1192832492846623 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.261910818669265 the lambda is 0.4332646079497092 the regulation term lambda/alpha is 1.6542447927545363 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3495925969564178 the lambda is 0.4194139153001641 the regulation term lambda/alpha is 1.1997219590792725 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35534601182346914 the lambda is 0.36556299839731143 the regulation term lambda/alpha is 1.0287522196222592 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3277429285534087 the lambda is 0.3943602434531286 the regulation term lambda/alpha is 1.2032608764245665 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4860090690105045 the lambda is 0.5548298666109879 the regulation term lambda/alpha is 1.1416039370224096 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.34363217118686723 the lambda is 0.569879274943442 the regulation term lambda/alpha is 1.6583990753110878 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37757961661379374 the lambda is 0.44394857176171715 the regulation term lambda/alpha is 1.17577472995797 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35570489734891186 the lambda is 0.6338147121803173 the regulation term lambda/alpha is 1.7818554563183502 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3510333738978731 the lambda is 0.5820453780493371 the regulation term lambda/alpha is 1.6580912851285554 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35623963730179015 the lambda is 0.4694254738136535 the regulation term lambda/alpha is 1.3177238708447747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34856270275862067 the lambda is 0.5399005698725085 the regulation term lambda/alpha is 1.5489338520719156 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.303036654933928 the lambda is 0.4227221358882273 the regulation term lambda/alpha is 1.3949538084110475 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3403649227021444 the lambda is 0.48360014727589246 the regulation term lambda/alpha is 1.420828396288927 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3289058481623426 the lambda is 0.3953295226058207 the regulation term lambda/alpha is 1.2019534611944402 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3354255044364341 the lambda is 0.5056252883860463 the regulation term lambda/alpha is 1.507414557624572 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2739876442467727 the lambda is 0.5310541475755085 the regulation term lambda/alpha is 1.9382412262985242 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28887118983130905 the lambda is 0.5131800215515937 the regulation term lambda/alpha is 1.7765012213619273 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26216916381146144 the lambda is 0.4770196918024774 the regulation term lambda/alpha is 1.819511054875719 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36331080331097954 the lambda is 0.5753230018754711 the regulation term lambda/alpha is 1.5835559984243508 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2990921119479213 the lambda is 0.6530664787763121 the regulation term lambda/alpha is 2.1834961628477374 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2911549840158202 the lambda is 0.5652147096568237 the regulation term lambda/alpha is 1.9412846789052811 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.20185290798110397 the lambda is 0.3985064744400665 the regulation term lambda/alpha is 1.974241929065356 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2789569008780674 the lambda is 0.6190928182469393 the regulation term lambda/alpha is 2.2193135079226662 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32277759232297404 the lambda is 0.43819926968061385 the regulation term lambda/alpha is 1.3575888788529902 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2907066281740141 the lambda is 0.43802975112721126 the regulation term lambda/alpha is 1.5067759337947086 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.29685008150652936 the lambda is 0.48183560825989297 the regulation term lambda/alpha is 1.6231614484138006 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.44194943945334175 the lambda is 0.4765860260803405 the regulation term lambda/alpha is 1.0783722831956561 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3729802594595508 the lambda is 0.6542193754049996 the regulation term lambda/alpha is 1.7540321741235445 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3415956416212231 the lambda is 0.418231099782931 the regulation term lambda/alpha is 1.224345538479337 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26236725789824517 the lambda is 0.4979616884231071 the regulation term lambda/alpha is 1.8979566749759353 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25600685551018176 the lambda is 0.4504254556751611 the regulation term lambda/alpha is 1.7594273199345907 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.43740670719910363 the lambda is 0.7916164919300908 the regulation term lambda/alpha is 1.8097950463520305 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33631100065607633 the lambda is 0.3987528617127026 the regulation term lambda/alpha is 1.1856670193208503 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35422221064801224 the lambda is 0.4752681177901918 the regulation term lambda/alpha is 1.3417230865358183 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28412887785368024 the lambda is 0.5308223575508662 the regulation term lambda/alpha is 1.8682450075498038 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28629084761944634 the lambda is 0.46954187972536876 the regulation term lambda/alpha is 1.6400869382646484 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22221761966660317 the lambda is 0.44349603908206026 the regulation term lambda/alpha is 1.9957735113329214 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26458879251925205 the lambda is 0.5660745781783983 the regulation term lambda/alpha is 2.1394503251199106 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25855178259088163 the lambda is 0.45865112593799207 the regulation term lambda/alpha is 1.7739236656656003 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3824942871795101 the lambda is 0.47620295382258565 the regulation term lambda/alpha is 1.24499363724901 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.40872038584705395 the lambda is 0.43965205634162846 the regulation term lambda/alpha is 1.075679294612306 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.23458593727873334 the lambda is 0.38385571550557834 the regulation term lambda/alpha is 1.63631170716548 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.389571442289312 the lambda is 0.6409788173983832 the regulation term lambda/alpha is 1.6453434410686747 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3626298280763685 the lambda is 0.5629093781458693 the regulation term lambda/alpha is 1.5522975071629315 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23039897313367141 the lambda is 0.48295844543937 the regulation term lambda/alpha is 2.0961831507780646 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3772742958520644 the lambda is 0.4078137085947364 the regulation term lambda/alpha is 1.0809475044508388 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32293609957710934 the lambda is 0.6652535813930249 the regulation term lambda/alpha is 2.0600161526202445 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3544601977106298 the lambda is 0.5891133754683194 the regulation term lambda/alpha is 1.6620014864101982 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.24574481046195695 the lambda is 0.4868542368114231 the regulation term lambda/alpha is 1.9811374079323298 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2883980473596513 the lambda is 0.4786752734162476 the regulation term lambda/alpha is 1.6597729346596723 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30228975664797664 the lambda is 0.5200040557494423 the regulation term lambda/alpha is 1.7202172561705389 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.47946476331955423 the lambda is 0.43710759990916437 the regulation term lambda/alpha is 0.9116574008126649 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27110778121299794 the lambda is 0.5069201146288381 the regulation term lambda/alpha is 1.869810273835602 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3310012971827188 the lambda is 0.5088453241710789 the regulation term lambda/alpha is 1.5372910272620075 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3546115311398212 the lambda is 0.4605376842772014 the regulation term lambda/alpha is 1.2987104023292861 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2749060244700139 the lambda is 0.4570317211587889 the regulation term lambda/alpha is 1.6625016568476143 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36786003475212914 the lambda is 0.5469871530961157 the regulation term lambda/alpha is 1.486943678088558 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2882952239096083 the lambda is 0.5882977704919607 the regulation term lambda/alpha is 2.040608798557186 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3324728753551397 the lambda is 0.4586870735630346 the regulation term lambda/alpha is 1.379622542359511 120 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31751795887382683 the lambda is 0.5547886080403072 the regulation term lambda/alpha is 1.7472668632918662 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.4286815648285338 the lambda is 0.5341117008580567 the regulation term lambda/alpha is 1.245940447827966 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.45681768363673436 the lambda is 0.7223819704593495 the regulation term lambda/alpha is 1.5813353911968835 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5668298108215689 the lambda is 0.6427686312614652 the regulation term lambda/alpha is 1.1339711126516614 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2821780393105332 the lambda is 0.4111418546024465 the regulation term lambda/alpha is 1.4570299503356827 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3484283693882038 the lambda is 0.5251147098239588 the regulation term lambda/alpha is 1.507095162044336 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5204735946005846 the lambda is 0.570527208140829 the regulation term lambda/alpha is 1.096169362018559 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3029444730526658 the lambda is 0.4914609270690959 the regulation term lambda/alpha is 1.622280552329658 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4072756734781195 the lambda is 0.5739762384008091 the regulation term lambda/alpha is 1.409306461883846 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35571776176886005 the lambda is 0.44315549111371505 the regulation term lambda/alpha is 1.245806475645348 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32897882310050464 the lambda is 0.44744035226445733 the regulation term lambda/alpha is 1.3600886161835473 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.294690197327671 the lambda is 0.49820784217179453 the regulation term lambda/alpha is 1.6906155911858474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3650554004124294 the lambda is 0.6094394739209522 the regulation term lambda/alpha is 1.6694437973864364 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.316690577099421 the lambda is 0.5016210294936796 the regulation term lambda/alpha is 1.5839468104420487 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4804038351800074 the lambda is 0.6700084222510679 the regulation term lambda/alpha is 1.3946775050203661 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.320355543122598 the lambda is 0.5787051656195898 the regulation term lambda/alpha is 1.8064465499138347 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23699611972309156 the lambda is 0.4181210148099014 the regulation term lambda/alpha is 1.7642525763647008 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35673586866842794 the lambda is 0.5560112870509442 the regulation term lambda/alpha is 1.558607742827607 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4125299186040371 the lambda is 0.49532400519099434 the regulation term lambda/alpha is 1.2006983805371614 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2615529207356516 the lambda is 0.5495819670345405 the regulation term lambda/alpha is 2.1012266484685767 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23305681799121647 the lambda is 0.5945744392139849 the regulation term lambda/alpha is 2.5511995072222837 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2635884681403908 the lambda is 0.4479413873880269 the regulation term lambda/alpha is 1.6993967549044948 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3203327607522558 the lambda is 0.4346604594557365 the regulation term lambda/alpha is 1.356902923182126 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3417751563335587 the lambda is 0.4482153120120862 the regulation term lambda/alpha is 1.311433273326181 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3623132365369489 the lambda is 0.5256106033541463 the regulation term lambda/alpha is 1.4507077035827374 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29024897620663354 the lambda is 0.4685740892389323 the regulation term lambda/alpha is 1.6143867081389665 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32776884185332483 the lambda is 0.5568872664071084 the regulation term lambda/alpha is 1.6990244199487183 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37396593016816115 the lambda is 0.5378449155191364 the regulation term lambda/alpha is 1.4382190251322728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28778232093828243 the lambda is 0.3998925870976651 the regulation term lambda/alpha is 1.3895662033507117 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.339327913825613 the lambda is 0.4601806147421135 the regulation term lambda/alpha is 1.3561531368109285 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3461720579183551 the lambda is 0.4532250143372385 the regulation term lambda/alpha is 1.3092478262475242 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4036604887331048 the lambda is 0.49212519362530893 the regulation term lambda/alpha is 1.2191562150901916 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2273538588851712 the lambda is 0.40253839491587545 the regulation term lambda/alpha is 1.7705368929725713 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28771486927799467 the lambda is 0.49489957766836673 the regulation term lambda/alpha is 1.7201042786224126 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30805111401160323 the lambda is 0.3629500472643367 the regulation term lambda/alpha is 1.1782137143989215 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3040818191158352 the lambda is 0.3970855347725545 the regulation term lambda/alpha is 1.3058509579005477 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28213160450547037 the lambda is 0.6675109889215749 the regulation term lambda/alpha is 2.3659560937584794 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39916474540149016 the lambda is 0.3958350248384051 the regulation term lambda/alpha is 0.9916582799421929 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2644231959119559 the lambda is 0.4759099434893313 the regulation term lambda/alpha is 1.7998040672944344 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36292900969469455 the lambda is 0.4556753279440781 the regulation term lambda/alpha is 1.2555494759909223 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.30485058071698923 the lambda is 0.3940391443295991 the regulation term lambda/alpha is 1.2925648473519191 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26592657566747957 the lambda is 0.4644922299668473 the regulation term lambda/alpha is 1.7466935329835502 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5407874137645263 the lambda is 0.4804807772660541 the regulation term lambda/alpha is 0.888483653717704 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32941137185999075 the lambda is 0.4443861007598116 the regulation term lambda/alpha is 1.349030843260288 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34769562937216647 the lambda is 0.47935644583765624 the regulation term lambda/alpha is 1.3786668722388875 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.6385666133792763 the lambda is 0.47586417027792904 the regulation term lambda/alpha is 0.7452067807924837 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25852023913921524 the lambda is 0.27625138956838036 the regulation term lambda/alpha is 1.0685870881452215 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30643752999139834 the lambda is 0.47234706776429425 the regulation term lambda/alpha is 1.5414138985441925 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.38279350905582415 the lambda is 0.561220371370242 the regulation term lambda/alpha is 1.466117784375485 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25972661465666835 the lambda is 0.4873845995998085 the regulation term lambda/alpha is 1.8765292892454646 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3353630478500194 the lambda is 0.4486983090902997 the regulation term lambda/alpha is 1.3379479700189447 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26406709769032105 the lambda is 0.3932609764783588 the regulation term lambda/alpha is 1.4892464071368219 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3974170254426703 the lambda is 0.5113634316835838 the regulation term lambda/alpha is 1.28671747546294 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3711984090495571 the lambda is 0.4703054250404886 the regulation term lambda/alpha is 1.2669920279149154 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2332977759930679 the lambda is 0.5141900807469394 the regulation term lambda/alpha is 2.204007640270938 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4958786077941805 the lambda is 0.6952573487137494 the regulation term lambda/alpha is 1.402071671949041 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2968905555367819 the lambda is 0.36938406499551013 the regulation term lambda/alpha is 1.2441758692109928 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.283803886536296 the lambda is 0.36108273300533966 the regulation term lambda/alpha is 1.2722966461530836 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27824744187928296 the lambda is 0.4771274707209902 the regulation term lambda/alpha is 1.714759594907582 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3290139657919855 the lambda is 0.4788601301853474 the regulation term lambda/alpha is 1.4554401331647424 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.262483011050995 the lambda is 0.4981779389740804 the regulation term lambda/alpha is 1.897943554439395 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3015048483120967 the lambda is 0.4437674796111976 the regulation term lambda/alpha is 1.4718419358611463 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35627522773716785 the lambda is 0.48698325666266534 the regulation term lambda/alpha is 1.3668737502623216 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2910058608543954 the lambda is 0.5077798226924574 the regulation term lambda/alpha is 1.7449127010762326 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36679327983579096 the lambda is 0.624769477478227 the regulation term lambda/alpha is 1.7033285826772206 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2818168545924697 the lambda is 0.5240758983561443 the regulation term lambda/alpha is 1.8596329134181881 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3182120533274783 the lambda is 0.6425763314808511 the regulation term lambda/alpha is 2.0193337265561184 using Bay_non_info_prior option for model regressor Convergence after 10 iterations the alpha is 0.23607048151765614 the lambda is 0.3050907973198383 the regulation term lambda/alpha is 1.2923716483249517 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4215185099046315 the lambda is 0.6589123568372481 the regulation term lambda/alpha is 1.5631872417330543 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4092882429185357 the lambda is 0.4177530197200187 the regulation term lambda/alpha is 1.020681700361395 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.5070869640559443 the lambda is 0.7960558388644617 the regulation term lambda/alpha is 1.5698605866283657 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41952530549178435 the lambda is 0.5064683043437007 the regulation term lambda/alpha is 1.2072413695045126 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.48969133028528855 the lambda is 0.4681125938907628 the regulation term lambda/alpha is 0.9559340036059977 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3454265807637568 the lambda is 0.5296418014933207 the regulation term lambda/alpha is 1.5332977570002115 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22852195530546643 the lambda is 0.4786965259457376 the regulation term lambda/alpha is 2.0947507004561623 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2599249622110527 the lambda is 0.34054754798907416 the regulation term lambda/alpha is 1.3101763874166032 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.283399275120737 the lambda is 0.4103533197878754 the regulation term lambda/alpha is 1.447968840474458 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3010604206480813 the lambda is 0.6006312985080057 the regulation term lambda/alpha is 1.99505234602094 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3405940204929052 the lambda is 0.5115969055937507 the regulation term lambda/alpha is 1.502072481640668 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2869971416997515 the lambda is 0.6279252282398384 the regulation term lambda/alpha is 2.1879145712773562 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3956803092086945 the lambda is 0.48906695066603767 the regulation term lambda/alpha is 1.2360153873820596 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.20776783768160076 the lambda is 0.3864460446970626 the regulation term lambda/alpha is 1.8599897318529248 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3669707994283485 the lambda is 0.6269637008625042 the regulation term lambda/alpha is 1.7084838952831167 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35917667873999776 the lambda is 0.5096192530359098 the regulation term lambda/alpha is 1.4188539601837986 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2743656984251319 the lambda is 0.5568586500515429 the regulation term lambda/alpha is 2.0296219726005464 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2949091787563519 the lambda is 0.4961664743613413 the regulation term lambda/alpha is 1.6824382220102554 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25429162647600034 the lambda is 0.3770443687223367 the regulation term lambda/alpha is 1.4827242797863875 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3514897519198515 the lambda is 0.43193951794982893 the regulation term lambda/alpha is 1.2288822521582992 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22312370506298654 the lambda is 0.4375065446564176 the regulation term lambda/alpha is 1.9608250254400894 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4360680061222553 the lambda is 0.4927557111405311 the regulation term lambda/alpha is 1.1299973954117215 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31489537516188915 the lambda is 0.5716262467243675 the regulation term lambda/alpha is 1.8152894320232293 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3044306455351187 the lambda is 0.3788576729095862 the regulation term lambda/alpha is 1.2444794190927855 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37376220098314916 the lambda is 0.5219024341436019 the regulation term lambda/alpha is 1.396348889135345 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2932145921651718 the lambda is 0.36071042934049063 the regulation term lambda/alpha is 1.2301926267615546 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.42392940315658273 the lambda is 0.5108959590735064 the regulation term lambda/alpha is 1.20514395856803 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3288303127159609 the lambda is 0.3793073026361982 the regulation term lambda/alpha is 1.153504673894948 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2877790560435683 the lambda is 0.3825373577420033 the regulation term lambda/alpha is 1.3292744892598753 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4330636506839111 the lambda is 0.4803458876455639 the regulation term lambda/alpha is 1.1091808026071521 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25870423885833604 the lambda is 0.381509959552929 the regulation term lambda/alpha is 1.4746954330417452 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2955143478128276 the lambda is 0.4070713176455719 the regulation term lambda/alpha is 1.3775010271359214 130 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.45860699397589055 the lambda is 0.6720968755174571 the regulation term lambda/alpha is 1.4655181546419895 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.365842769468066 the lambda is 0.6967731936106527 the regulation term lambda/alpha is 1.9045700824530667 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30507410532746837 the lambda is 0.5628624178712878 the regulation term lambda/alpha is 1.8450022733561995 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3097787745227822 the lambda is 0.3711584778626836 the regulation term lambda/alpha is 1.1981404421089132 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37215540277605985 the lambda is 0.5328040511147708 the regulation term lambda/alpha is 1.431670874963434 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4324860523858388 the lambda is 0.6045048707918583 the regulation term lambda/alpha is 1.3977441988176635 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41305582844742683 the lambda is 0.612198397998114 the regulation term lambda/alpha is 1.482120226457557 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3675088377881408 the lambda is 0.533943214156552 the regulation term lambda/alpha is 1.4528717659420105 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2853582217611256 the lambda is 0.4405640481627292 the regulation term lambda/alpha is 1.5438982113209516 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3296250085158217 the lambda is 0.5606849298329488 the regulation term lambda/alpha is 1.700978127713985 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4102374768623043 the lambda is 0.4109627571542067 the regulation term lambda/alpha is 1.001767952302773 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3162532587148354 the lambda is 0.44765591579228264 the regulation term lambda/alpha is 1.4154981915804783 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43949471421115555 the lambda is 0.5269183786308236 the regulation term lambda/alpha is 1.1989185798891435 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.324886669797128 the lambda is 0.4221234214269961 the regulation term lambda/alpha is 1.2992943714513943 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2725868296755673 the lambda is 0.47420925969769034 the regulation term lambda/alpha is 1.7396631387587358 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2816235064789122 the lambda is 0.5061370042567158 the regulation term lambda/alpha is 1.7972114990856243 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30460173842218974 the lambda is 0.7114786486785829 the regulation term lambda/alpha is 2.335766868449208 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.45635387587150344 the lambda is 0.5204772194652018 the regulation term lambda/alpha is 1.1405123238435115 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4198515434612575 the lambda is 0.5367919020864949 the regulation term lambda/alpha is 1.2785278759753522 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22520114066667193 the lambda is 0.49437619252051695 the regulation term lambda/alpha is 2.1952650464247 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3512230171189944 the lambda is 0.5135906479211026 the regulation term lambda/alpha is 1.462292113238974 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2980854843220089 the lambda is 0.4774902984634617 the regulation term lambda/alpha is 1.6018569288924165 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3699596820648164 the lambda is 0.5903976556266505 the regulation term lambda/alpha is 1.5958432344074014 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2481519537935839 the lambda is 0.37169554634683505 the regulation term lambda/alpha is 1.4978546034580746 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42322458809378644 the lambda is 0.4595986693061702 the regulation term lambda/alpha is 1.0859451039369274 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2964079859885899 the lambda is 0.5556434592605745 the regulation term lambda/alpha is 1.874590043204719 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3254627030574445 the lambda is 0.4878499531268769 the regulation term lambda/alpha is 1.4989427315140649 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35088547041346524 the lambda is 0.5116813352739455 the regulation term lambda/alpha is 1.458257404249332 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.45645362357265795 the lambda is 0.5243764434040477 the regulation term lambda/alpha is 1.1488055222341285 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4304459490609734 the lambda is 0.5762047710959499 the regulation term lambda/alpha is 1.3386228221056613 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3123839166510639 the lambda is 0.48078728334580867 the regulation term lambda/alpha is 1.5390910277972252 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3852026017035075 the lambda is 0.546847293536077 the regulation term lambda/alpha is 1.4196355141884225 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3741026117351451 the lambda is 0.4485776556482711 the regulation term lambda/alpha is 1.1990765142421738 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2932665726998306 the lambda is 0.432247077944101 the regulation term lambda/alpha is 1.4739050344701992 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3512536971252571 the lambda is 0.5503587393799644 the regulation term lambda/alpha is 1.566841129030754 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26093027809158065 the lambda is 0.5107458583430898 the regulation term lambda/alpha is 1.9574035718607925 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.48543932159035624 the lambda is 0.5575328698438475 the regulation term lambda/alpha is 1.1485119664746242 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30657269189487646 the lambda is 0.39965244182999804 the regulation term lambda/alpha is 1.3036139630043715 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3436512190105914 the lambda is 0.5086350921939964 the regulation term lambda/alpha is 1.4800910459692567 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28075684543044266 the lambda is 0.5321567851559488 the regulation term lambda/alpha is 1.8954365452428132 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35842046024146373 the lambda is 0.6314874354833964 the regulation term lambda/alpha is 1.7618621299073456 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37046024451925036 the lambda is 0.4662441251409591 the regulation term lambda/alpha is 1.2585537369765771 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31874753437465064 the lambda is 0.5517528503963219 the regulation term lambda/alpha is 1.731002724393785 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2539620497151839 the lambda is 0.4571681041034815 the regulation term lambda/alpha is 1.800143386053906 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3405700105874399 the lambda is 0.4708832520442068 the regulation term lambda/alpha is 1.3826327551036954 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4234641403589546 the lambda is 0.5472943536251407 the regulation term lambda/alpha is 1.2924219584714303 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33098645387792536 the lambda is 0.4727328414127557 the regulation term lambda/alpha is 1.4282543465875777 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3378602716211054 the lambda is 0.5105506429671246 the regulation term lambda/alpha is 1.5111295581378195 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2907191486489232 the lambda is 0.37174556494681193 the regulation term lambda/alpha is 1.2787102833592068 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3419267272856574 the lambda is 0.5345383105735179 the regulation term lambda/alpha is 1.5633124523984525 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4074723512025078 the lambda is 0.4945867978059489 the regulation term lambda/alpha is 1.213792288842063 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2227850206493534 the lambda is 0.5018995337249945 the regulation term lambda/alpha is 2.2528423691238473 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23564643297848814 the lambda is 0.42164173609138617 the regulation term lambda/alpha is 1.7892981903523117 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3492146773478587 the lambda is 0.6480697071576225 the regulation term lambda/alpha is 1.8557917212399098 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35213525403242807 the lambda is 0.5285059655658325 the regulation term lambda/alpha is 1.5008607048391767 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24687861427896166 the lambda is 0.3551733044827825 the regulation term lambda/alpha is 1.4386556142989881 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2590533746926194 the lambda is 0.4063195183161084 the regulation term lambda/alpha is 1.5684779972398666 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27117755730317766 the lambda is 0.4561652762684447 the regulation term lambda/alpha is 1.682164559652147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.44810387320283634 the lambda is 0.5446397486222753 the regulation term lambda/alpha is 1.215431914768881 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3160965367330233 the lambda is 0.5324608979808907 the regulation term lambda/alpha is 1.6844882373090022 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3538364177042421 the lambda is 0.46398923925797975 the regulation term lambda/alpha is 1.3113100179694053 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2705277238715911 the lambda is 0.4629069427360137 the regulation term lambda/alpha is 1.7111257068637353 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3404821812078135 the lambda is 0.49239664848082904 the regulation term lambda/alpha is 1.4461745009213698 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.27114749677620187 the lambda is 0.5041731099087374 the regulation term lambda/alpha is 1.8594053638815957 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31685358532325414 the lambda is 0.41324663615732804 the regulation term lambda/alpha is 1.3042195364011226 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3195596809453194 the lambda is 0.45772564086730716 the regulation term lambda/alpha is 1.4323635557316434 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4085349457038293 the lambda is 0.5592324066149207 the regulation term lambda/alpha is 1.3688728773286893 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3361225229693091 the lambda is 0.6604490999046676 the regulation term lambda/alpha is 1.964905814910155 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3671264105106504 the lambda is 0.43156386945140235 the regulation term lambda/alpha is 1.1755184511272925 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.341598030513533 the lambda is 0.5033156324738031 the regulation term lambda/alpha is 1.4734149131865775 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34695014665460344 the lambda is 0.5846636002752227 the regulation term lambda/alpha is 1.685151615910018 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26470334877736557 the lambda is 0.4926586306011927 the regulation term lambda/alpha is 1.8611726405303388 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40257272302525726 the lambda is 0.5711718375348264 the regulation term lambda/alpha is 1.4188041187753082 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31836850160702956 the lambda is 0.47563404330976006 the regulation term lambda/alpha is 1.4939733073746329 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3073817896145697 the lambda is 0.5461604227667871 the regulation term lambda/alpha is 1.7768145063233098 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30170267732524503 the lambda is 0.5014133756928147 the regulation term lambda/alpha is 1.661945396501322 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3146563505676254 the lambda is 0.49504538177243174 the regulation term lambda/alpha is 1.573289021115871 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3321444965575926 the lambda is 0.511087183847391 the regulation term lambda/alpha is 1.5387495175876578 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3761344796747494 the lambda is 0.6347259282056696 the regulation term lambda/alpha is 1.6874973247720582 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23231100016020914 the lambda is 0.6057275752272038 the regulation term lambda/alpha is 2.607399455081656 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2994590019587462 the lambda is 0.5015519250318516 the regulation term lambda/alpha is 1.6748600701639484 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.457857755038978 the lambda is 0.45404911554488625 the regulation term lambda/alpha is 0.9916816097310233 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24991110213770798 the lambda is 0.3778286477746276 the regulation term lambda/alpha is 1.5118521928106798 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2204502643042679 the lambda is 0.38843287328889325 the regulation term lambda/alpha is 1.7619977663205424 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.24968326021088572 the lambda is 0.3983237735996883 the regulation term lambda/alpha is 1.595316294986131 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25890893649029645 the lambda is 0.45541578826783824 the regulation term lambda/alpha is 1.758980568385698 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.352352827954081 the lambda is 0.5242653040529374 the regulation term lambda/alpha is 1.4878986699129322 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3046558886298329 the lambda is 0.42465843464742553 the regulation term lambda/alpha is 1.3938953767061426 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4124280789143493 the lambda is 0.5566413649299703 the regulation term lambda/alpha is 1.3496689323269146 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.20945305668122438 the lambda is 0.4679151618922928 the regulation term lambda/alpha is 2.2339858358067937 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2852177776787369 the lambda is 0.4417212096932867 the regulation term lambda/alpha is 1.5487155579440488 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37349839739787405 the lambda is 0.5083863759598625 the regulation term lambda/alpha is 1.3611474092037328 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29001871159085674 the lambda is 0.52295713961676 the regulation term lambda/alpha is 1.803184135079259 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.473582282560764 the lambda is 0.5577110930919462 the regulation term lambda/alpha is 1.1776434922275367 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40546016591452816 the lambda is 0.5120316643985509 the regulation term lambda/alpha is 1.2628408594556937 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3761032557197354 the lambda is 0.49885762374194487 the regulation term lambda/alpha is 1.3263847524725592 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.253745462230414 the lambda is 0.5417206695733605 the regulation term lambda/alpha is 2.1348979595995696 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3389687946418033 the lambda is 0.45083354959651417 the regulation term lambda/alpha is 1.3300149061594921 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37973593113961374 the lambda is 0.47211225064728046 the regulation term lambda/alpha is 1.2432646266326155 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3036714582092054 the lambda is 0.49628619210482516 the regulation term lambda/alpha is 1.6342865906183506 140 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2730009252162634 the lambda is 0.5092467957695656 the regulation term lambda/alpha is 1.8653665564179134 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2840458113705765 the lambda is 0.5775866737533297 the regulation term lambda/alpha is 2.0334278860383868 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3865789969974541 the lambda is 0.535794203233291 the regulation term lambda/alpha is 1.3859889114379889 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31311202012948947 the lambda is 0.4694740972429464 the regulation term lambda/alpha is 1.4993806275747332 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2632693614772306 the lambda is 0.3771473454814732 the regulation term lambda/alpha is 1.4325531211275853 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33050147492176424 the lambda is 0.37888238056388823 the regulation term lambda/alpha is 1.1463863532033454 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23067908924123076 the lambda is 0.5712942928951608 the regulation term lambda/alpha is 2.4765759860345837 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3691045344960197 the lambda is 0.5101735392225394 the regulation term lambda/alpha is 1.382192553985112 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22387436199624072 the lambda is 0.48055869333096357 the regulation term lambda/alpha is 2.1465552779064225 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3963648040415133 the lambda is 0.5050343643558463 the regulation term lambda/alpha is 1.2741655142088535 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28128802449039964 the lambda is 0.5362158515674924 the regulation term lambda/alpha is 1.9062875233986134 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3702975400640776 the lambda is 0.5457475239221219 the regulation term lambda/alpha is 1.4738081269124386 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.25264830445790404 the lambda is 0.41246023170015034 the regulation term lambda/alpha is 1.6325470008007672 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.36561930746766624 the lambda is 0.45156642312274076 the regulation term lambda/alpha is 1.235072694192101 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3436518953897871 the lambda is 0.3803454275313506 the regulation term lambda/alpha is 1.1067752939349975 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3329531832125125 the lambda is 0.46777801314317274 the regulation term lambda/alpha is 1.404936299541567 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38628006232324713 the lambda is 0.5073759261723328 the regulation term lambda/alpha is 1.3134924001015362 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22009418040886836 the lambda is 0.46914267750418115 the regulation term lambda/alpha is 2.131554212985805 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3146633521656699 the lambda is 0.4345984726221487 the regulation term lambda/alpha is 1.3811537620476793 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32239702854455654 the lambda is 0.4557150383350485 the regulation term lambda/alpha is 1.4135212113844495 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3339322611456959 the lambda is 0.49639008823190534 the regulation term lambda/alpha is 1.486499347289265 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2729877465214838 the lambda is 0.369487779780996 the regulation term lambda/alpha is 1.3534958418066498 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3259482906594562 the lambda is 0.5374818033369616 the regulation term lambda/alpha is 1.6489787452160967 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24372157534909292 the lambda is 0.4491883655038721 the regulation term lambda/alpha is 1.8430389876664806 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2979330629500711 the lambda is 0.51820337719517 the regulation term lambda/alpha is 1.7393281969581627 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38027533553689025 the lambda is 0.47416087338257834 the regulation term lambda/alpha is 1.2468883176794419 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.287816844219974 the lambda is 0.4867481312724791 the regulation term lambda/alpha is 1.6911731924225568 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2699904674519907 the lambda is 0.5463839018942755 the regulation term lambda/alpha is 2.023715529850819 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38658888952501547 the lambda is 0.6317874376688538 the regulation term lambda/alpha is 1.6342617565784234 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3290506819016537 the lambda is 0.504212030026451 the regulation term lambda/alpha is 1.5323233099305635 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2975627002371607 the lambda is 0.5014055768354645 the regulation term lambda/alpha is 1.6850417624112122 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32627639707903316 the lambda is 0.463170511742063 the regulation term lambda/alpha is 1.4195648716504317 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23523273877683473 the lambda is 0.4072432960782859 the regulation term lambda/alpha is 1.731235618799803 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.252712707915743 the lambda is 0.4669120259722348 the regulation term lambda/alpha is 1.8476001061565452 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34061140714580246 the lambda is 0.5036527316710879 the regulation term lambda/alpha is 1.4786725315265024 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36603448716898873 the lambda is 0.5704167260821095 the regulation term lambda/alpha is 1.5583688042453845 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3382816354893779 the lambda is 0.46273462390156245 the regulation term lambda/alpha is 1.3678975603631087 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3872711968300305 the lambda is 0.5945816421368352 the regulation term lambda/alpha is 1.5353107770568106 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31096887442534 the lambda is 0.5004919507125518 the regulation term lambda/alpha is 1.6094599552364979 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2469547524253499 the lambda is 0.5325163718553352 the regulation term lambda/alpha is 2.156331743469102 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23411863214464346 the lambda is 0.4715303187506587 the regulation term lambda/alpha is 2.0140657513295963 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32229340849963933 the lambda is 0.44298600558830187 the regulation term lambda/alpha is 1.3744805010146448 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26312927225771826 the lambda is 0.43828964563324735 the regulation term lambda/alpha is 1.6656818219904121 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3165032212916506 the lambda is 0.5744590528000216 the regulation term lambda/alpha is 1.8150180287443916 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3743504286158422 the lambda is 0.5764509504385579 the regulation term lambda/alpha is 1.5398698822650765 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33131928375471026 the lambda is 0.49822869893784166 the regulation term lambda/alpha is 1.5037721115765226 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29293556978311025 the lambda is 0.39730123637156844 the regulation term lambda/alpha is 1.3562751586150177 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39043658060789377 the lambda is 0.6034982710858461 the regulation term lambda/alpha is 1.5457011485609877 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40353669214518106 the lambda is 0.6674013021092862 the regulation term lambda/alpha is 1.6538800934344133 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3849529822300505 the lambda is 0.5402278031531195 the regulation term lambda/alpha is 1.403360483203831 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3152956170025845 the lambda is 0.48514922593885335 the regulation term lambda/alpha is 1.5387122426598037 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34028319551122266 the lambda is 0.4723780552096321 the regulation term lambda/alpha is 1.3881909581222707 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2533667997790418 the lambda is 0.4002739444454042 the regulation term lambda/alpha is 1.579820026911491 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30259363203619566 the lambda is 0.44321400885139023 the regulation term lambda/alpha is 1.4647169071898176 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3834606863603528 the lambda is 0.3912824764641053 the regulation term lambda/alpha is 1.0203978931399555 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30088070062471745 the lambda is 0.4141880553850807 the regulation term lambda/alpha is 1.376585651805196 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4272959780479365 the lambda is 0.444546320200796 the regulation term lambda/alpha is 1.040370944354932 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3640702192870936 the lambda is 0.5035676075462681 the regulation term lambda/alpha is 1.3831606675556494 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.323651371743448 the lambda is 0.40698734133123005 the regulation term lambda/alpha is 1.2574868419029623 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3135725422211538 the lambda is 0.49177897578231633 the regulation term lambda/alpha is 1.5683100704508706 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4726295189455046 the lambda is 0.39810597552618276 the regulation term lambda/alpha is 0.8423214369140692 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39327525305528493 the lambda is 0.43912362639992053 the regulation term lambda/alpha is 1.1165808755787399 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.357440069327384 the lambda is 0.47757695265826433 the regulation term lambda/alpha is 1.33610356991299 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28839519024063504 the lambda is 0.4676228195594764 the regulation term lambda/alpha is 1.621465389798266 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31269823320951645 the lambda is 0.4193304095411028 the regulation term lambda/alpha is 1.3410066479657397 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3766428212467414 the lambda is 0.5218135223018547 the regulation term lambda/alpha is 1.3854333412610325 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3933029265768396 the lambda is 0.5448689933786036 the regulation term lambda/alpha is 1.3853672489064293 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37394330287786043 the lambda is 0.47814245123630145 the regulation term lambda/alpha is 1.2786495908778854 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40317136581629714 the lambda is 0.40906594128758395 the regulation term lambda/alpha is 1.014620521125929 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3992769144953048 the lambda is 0.457203304703663 the regulation term lambda/alpha is 1.1450782354436357 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28644060112030034 the lambda is 0.5657258095787903 the regulation term lambda/alpha is 1.9750196283842971 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.20896752685956987 the lambda is 0.41355775652592325 the regulation term lambda/alpha is 1.9790527396337607 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32749289526851527 the lambda is 0.5672487376463686 the regulation term lambda/alpha is 1.7320947899687251 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.398147362583732 the lambda is 0.5629554121140435 the regulation term lambda/alpha is 1.4139373132118933 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26810607206532777 the lambda is 0.5126162398781192 the regulation term lambda/alpha is 1.9119904145744717 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4150637576761149 the lambda is 0.42346088159027234 the regulation term lambda/alpha is 1.0202309253912503 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.451230234840347 the lambda is 0.4987204251441146 the regulation term lambda/alpha is 1.1052460288273245 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3283856961331754 the lambda is 0.4536037524644325 the regulation term lambda/alpha is 1.381313978671213 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3280288840271222 the lambda is 0.5194593150918715 the regulation term lambda/alpha is 1.5835779725084251 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2372373026719134 the lambda is 0.44357434205847207 the regulation term lambda/alpha is 1.8697495590392539 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26623641955942384 the lambda is 0.48387112974053165 the regulation term lambda/alpha is 1.8174490572749453 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3111991833061293 the lambda is 0.426235319514286 the regulation term lambda/alpha is 1.3696543640829375 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24763247348467443 the lambda is 0.43266143653497124 the regulation term lambda/alpha is 1.7471918381566702 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33990165599645694 the lambda is 0.5476495392487937 the regulation term lambda/alpha is 1.6111999738374392 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.43807175049510205 the lambda is 0.42844749230153334 the regulation term lambda/alpha is 0.9780304067023461 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3373275740276628 the lambda is 0.4274378254489927 the regulation term lambda/alpha is 1.267129811967107 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28147079721220813 the lambda is 0.352818397690203 the regulation term lambda/alpha is 1.2534813600012795 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27217264388825707 the lambda is 0.41843013058697265 the regulation term lambda/alpha is 1.5373702684049426 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23290724496729126 the lambda is 0.5341777600184107 the regulation term lambda/alpha is 2.2935214406637665 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31537017716094606 the lambda is 0.5241199961519428 the regulation term lambda/alpha is 1.6619199724914488 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23245732077185421 the lambda is 0.42687966087817875 the regulation term lambda/alpha is 1.8363786498990962 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.46167482326112064 the lambda is 0.6266680296539572 the regulation term lambda/alpha is 1.3573796925450217 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30724133268152765 the lambda is 0.455653866931185 the regulation term lambda/alpha is 1.4830487257503697 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2498167691719913 the lambda is 0.5321410891162652 the regulation term lambda/alpha is 2.130125575156655 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3695539754542569 the lambda is 0.5139822516955366 the regulation term lambda/alpha is 1.3908178123743575 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3005732708261799 the lambda is 0.4878564034953678 the regulation term lambda/alpha is 1.6230864512816006 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31544922929520447 the lambda is 0.5133103099893476 the regulation term lambda/alpha is 1.6272358982655186 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3184800102022557 the lambda is 0.5982595987145484 the regulation term lambda/alpha is 1.878483985021899 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40939583711903055 the lambda is 0.5290061566080321 the regulation term lambda/alpha is 1.2921630086195166 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36301071580680244 the lambda is 0.4501422723940285 the regulation term lambda/alpha is 1.240024750766857 150 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4054188217256015 the lambda is 0.5815466320931482 the regulation term lambda/alpha is 1.4344342219186723 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38591527638436557 the lambda is 0.6066951501468538 the regulation term lambda/alpha is 1.572094154527832 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.282748115412766 the lambda is 0.4146142427227465 the regulation term lambda/alpha is 1.466373143168355 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26629814607309 the lambda is 0.5924546920766179 the regulation term lambda/alpha is 2.2247796344553175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33477742371594194 the lambda is 0.4780908429759449 the regulation term lambda/alpha is 1.4280856745633008 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3872072199949932 the lambda is 0.5652665792863462 the regulation term lambda/alpha is 1.459855472978152 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40016420467862085 the lambda is 0.5005793629625057 the regulation term lambda/alpha is 1.2509348840047552 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2639185392385741 the lambda is 0.41477735022055917 the regulation term lambda/alpha is 1.5716112684513361 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2699092855043109 the lambda is 0.3924901558548396 the regulation term lambda/alpha is 1.4541558106142696 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2399810785584981 the lambda is 0.42278211150020517 the regulation term lambda/alpha is 1.7617310249614002 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.44815598916115895 the lambda is 0.6189992127714737 the regulation term lambda/alpha is 1.3812137464236338 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43109497644084976 the lambda is 0.6120830115908719 the regulation term lambda/alpha is 1.4198333198968636 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38407881172331343 the lambda is 0.5489681061424397 the regulation term lambda/alpha is 1.4293110928959833 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3392021271255274 the lambda is 0.4768877692917629 the regulation term lambda/alpha is 1.405910314693524 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3164648583322705 the lambda is 0.44524384057267524 the regulation term lambda/alpha is 1.4069298023137657 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24102231651910605 the lambda is 0.3504986205815474 the regulation term lambda/alpha is 1.4542164627886773 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23647893664788244 the lambda is 0.38586262371182023 the regulation term lambda/alpha is 1.6316997580480936 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2947255685579452 the lambda is 0.4945645870340472 the regulation term lambda/alpha is 1.678051176400775 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3236289725250486 the lambda is 0.3879223693302714 the regulation term lambda/alpha is 1.1986639091784237 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23385076858331524 the lambda is 0.455478763852763 the regulation term lambda/alpha is 1.9477325929355975 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23553153915950156 the lambda is 0.4505645171275349 the regulation term lambda/alpha is 1.9129689328884885 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.4707096282804561 the lambda is 0.5961663400805463 the regulation term lambda/alpha is 1.2665267593067824 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27167975451106957 the lambda is 0.4547176783672466 the regulation term lambda/alpha is 1.6737267713804531 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37967834699927916 the lambda is 0.5572607898048196 the regulation term lambda/alpha is 1.46771812037487 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4332214246519673 the lambda is 0.5086430868122246 the regulation term lambda/alpha is 1.1740949497611943 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2539588439572727 the lambda is 0.4272860325826727 the regulation term lambda/alpha is 1.6825010931872153 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29816865349266103 the lambda is 0.4354349563057209 the regulation term lambda/alpha is 1.4603646332542413 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2428255623563028 the lambda is 0.38533231184961525 the regulation term lambda/alpha is 1.5868688127826076 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3666059581182607 the lambda is 0.4941833598885597 the regulation term lambda/alpha is 1.3479959857312105 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4746216633569045 the lambda is 0.5169843062469625 the regulation term lambda/alpha is 1.0892556032744807 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39757588729796717 the lambda is 0.501989212180716 the regulation term lambda/alpha is 1.2626248930546817 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28629523916965394 the lambda is 0.5477781611226236 the regulation term lambda/alpha is 1.9133331127382773 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2287895244179089 the lambda is 0.5167785733447674 the regulation term lambda/alpha is 2.258751027432599 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.232583557952695 the lambda is 0.5052330335273195 the regulation term lambda/alpha is 2.1722646173900158 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3155871458482463 the lambda is 0.44977176555976034 the regulation term lambda/alpha is 1.4251903839456066 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2934678293891512 the lambda is 0.4566723619622991 the regulation term lambda/alpha is 1.5561241002560846 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3048323469400596 the lambda is 0.5775127858539904 the regulation term lambda/alpha is 1.8945259308965297 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3576947567632972 the lambda is 0.411954688623182 the regulation term lambda/alpha is 1.1516933945324535 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3102931788377643 the lambda is 0.45866648137897076 the regulation term lambda/alpha is 1.4781713316965401 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34097851878449503 the lambda is 0.6452525418610354 the regulation term lambda/alpha is 1.8923554016282398 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30344789631401625 the lambda is 0.5401362165011776 the regulation term lambda/alpha is 1.7799965762235166 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33576686741232176 the lambda is 0.557709712013496 the regulation term lambda/alpha is 1.6610028151724343 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2650748415273748 the lambda is 0.48939510531731373 the regulation term lambda/alpha is 1.8462525620967802 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43409499172219146 the lambda is 0.47842817477126176 the regulation term lambda/alpha is 1.1021278381332773 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3864195718997281 the lambda is 0.5918137119869081 the regulation term lambda/alpha is 1.531531410475445 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38174543513078707 the lambda is 0.38417305062283125 the regulation term lambda/alpha is 1.0063592521838864 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3222220174813099 the lambda is 0.45284678284962354 the regulation term lambda/alpha is 1.4053874604515204 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33210644456144467 the lambda is 0.7067960911115894 the regulation term lambda/alpha is 2.128221546693959 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.32041503176224073 the lambda is 0.35775335019209675 the regulation term lambda/alpha is 1.1165311072470607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517760534318302 the lambda is 0.5281969145662314 the regulation term lambda/alpha is 1.5015146978121106 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39977092258994296 the lambda is 0.5459376176178562 the regulation term lambda/alpha is 1.3656261292866485 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2536320611294064 the lambda is 0.5365225477132184 the regulation term lambda/alpha is 2.1153577561295673 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3076192361491665 the lambda is 0.5161408908381587 the regulation term lambda/alpha is 1.6778563567717815 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28486286116691806 the lambda is 0.46360028825224237 the regulation term lambda/alpha is 1.627450789313639 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25475907878191517 the lambda is 0.42427240284282325 the regulation term lambda/alpha is 1.6653867837464542 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2796931092908961 the lambda is 0.4938318984058834 the regulation term lambda/alpha is 1.765620539089761 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2571165568137945 the lambda is 0.4081181737046249 the regulation term lambda/alpha is 1.5872885774531695 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26736593285904664 the lambda is 0.5205567603321423 the regulation term lambda/alpha is 1.946982380162008 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39611519881982177 the lambda is 0.4831346691036808 the regulation term lambda/alpha is 1.2196822301772898 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2784844702637098 the lambda is 0.3540921963957184 the regulation term lambda/alpha is 1.2714971002167987 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3390136772503113 the lambda is 0.5207473538174135 the regulation term lambda/alpha is 1.5360659134496184 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2960953039879735 the lambda is 0.36313109049739856 the regulation term lambda/alpha is 1.2263993572560943 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28074659949233305 the lambda is 0.4456475046575159 the regulation term lambda/alpha is 1.587365636710717 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36937820726943094 the lambda is 0.4727589089985795 the regulation term lambda/alpha is 1.2798776421959859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.360109780376323 the lambda is 0.5426659245543959 the regulation term lambda/alpha is 1.506945809656426 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39502056534186974 the lambda is 0.36592194416506296 the regulation term lambda/alpha is 0.9263364398468129 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41068720018003224 the lambda is 0.5320043548860076 the regulation term lambda/alpha is 1.295400379297903 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3574893614250327 the lambda is 0.4781418167965574 the regulation term lambda/alpha is 1.3374994290475581 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3845512298879131 the lambda is 0.36683687746437477 the regulation term lambda/alpha is 0.9539349999512376 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27451186879727635 the lambda is 0.4996535323920847 the regulation term lambda/alpha is 1.8201527481533877 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27656739890597226 the lambda is 0.48044552765414184 the regulation term lambda/alpha is 1.7371733962667246 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35873184448122397 the lambda is 0.6007781684778523 the regulation term lambda/alpha is 1.6747277324840253 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34762587672970413 the lambda is 0.5483994566953427 the regulation term lambda/alpha is 1.5775564864572775 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2579694498430453 the lambda is 0.44706711623300643 the regulation term lambda/alpha is 1.7330234898163817 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2995458100688873 the lambda is 0.4398594742191216 the regulation term lambda/alpha is 1.4684213880940815 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3811061213010966 the lambda is 0.47104831329917085 the regulation term lambda/alpha is 1.2360030106339188 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26624576486467694 the lambda is 0.43725921434278503 the regulation term lambda/alpha is 1.6423142526418326 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3777670003548228 the lambda is 0.626635170409265 the regulation term lambda/alpha is 1.6587874796387438 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27068726609106164 the lambda is 0.46754229336045283 the regulation term lambda/alpha is 1.727241551152862 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22573171787184476 the lambda is 0.46240927684934896 the regulation term lambda/alpha is 2.048490487773959 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2826123496777839 the lambda is 0.6291172823417049 the regulation term lambda/alpha is 2.226078524377945 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37432104119290904 the lambda is 0.42008281836236255 the regulation term lambda/alpha is 1.1222527513377745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2850815972018702 the lambda is 0.5066799968564784 the regulation term lambda/alpha is 1.7773156942771415 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.29094054006222275 the lambda is 0.5463981650969127 the regulation term lambda/alpha is 1.8780406641853895 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.392013816337755 the lambda is 0.43827598942137863 the regulation term lambda/alpha is 1.118011588254238 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28205435376428106 the lambda is 0.5711746417609038 the regulation term lambda/alpha is 2.0250516758136867 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32687316406315764 the lambda is 0.5134491033010425 the regulation term lambda/alpha is 1.5707900181179608 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3451051078547273 the lambda is 0.43168343020567324 the regulation term lambda/alpha is 1.2508752272290078 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23753058303317306 the lambda is 0.5356904285600015 the regulation term lambda/alpha is 2.255248236751004 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3523045234563197 the lambda is 0.6011163063978345 the regulation term lambda/alpha is 1.7062406707144187 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3107653810380124 the lambda is 0.46553869023844396 the regulation term lambda/alpha is 1.498039095228242 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3423453219687392 the lambda is 0.6597251612343318 the regulation term lambda/alpha is 1.9270751457634163 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30649646551016135 the lambda is 0.40344228272825816 the regulation term lambda/alpha is 1.3163032143184135 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3153491126645124 the lambda is 0.5204199050483148 the regulation term lambda/alpha is 1.650297667404472 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28064535649061395 the lambda is 0.552622900026714 the regulation term lambda/alpha is 1.9691147109544147 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36313250822032944 the lambda is 0.4942831169010385 the regulation term lambda/alpha is 1.3611646044124859 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3823643957995252 the lambda is 0.4909453338459077 the regulation term lambda/alpha is 1.2839724075756045 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3220643084246212 the lambda is 0.45070878840954803 the regulation term lambda/alpha is 1.3994372447359715 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26828950616085 the lambda is 0.45698226687001403 the regulation term lambda/alpha is 1.7033177085802058 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4036000775614002 the lambda is 0.4618658140874654 the regulation term lambda/alpha is 1.1443650280696518 160 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4268874860665854 the lambda is 0.5228858042600072 the regulation term lambda/alpha is 1.2248796728101983 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3864884701187163 the lambda is 0.5241895042563904 the regulation term lambda/alpha is 1.356287560390552 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2397699819033644 the lambda is 0.45316363860973 the regulation term lambda/alpha is 1.8899932135473516 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39820182088681266 the lambda is 0.46274147445494934 the regulation term lambda/alpha is 1.1620777459641045 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3106213155725922 the lambda is 0.5180885822603504 the regulation term lambda/alpha is 1.667910591729089 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32806176874280074 the lambda is 0.410900629956159 the regulation term lambda/alpha is 1.2525099511924647 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33059104542121054 the lambda is 0.41590570688691786 the regulation term lambda/alpha is 1.2580670669921103 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29973036585003343 the lambda is 0.4105054792066713 the regulation term lambda/alpha is 1.369582551445798 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3220725043247412 the lambda is 0.43380789853260676 the regulation term lambda/alpha is 1.346926212910135 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2579312463636786 the lambda is 0.5154938384968092 the regulation term lambda/alpha is 1.9985707267508481 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3033865797903476 the lambda is 0.5700354036510502 the regulation term lambda/alpha is 1.8789077751724144 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3986256896038233 the lambda is 0.5762687252545404 the regulation term lambda/alpha is 1.4456387038860161 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25433882703421234 the lambda is 0.41079514570814624 the regulation term lambda/alpha is 1.615149171278077 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3475437321183946 the lambda is 0.4652087921893008 the regulation term lambda/alpha is 1.3385618821369571 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30993862458450655 the lambda is 0.500215761045501 the regulation term lambda/alpha is 1.6139187612259482 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25288617879454295 the lambda is 0.4973628154612986 the regulation term lambda/alpha is 1.9667457424210613 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29855036476800983 the lambda is 0.5303970021789542 the regulation term lambda/alpha is 1.7765746244895801 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40466115142981907 the lambda is 0.478081012041013 the regulation term lambda/alpha is 1.1814354067638422 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30966397350583463 the lambda is 0.47328691397839323 the regulation term lambda/alpha is 1.5283886873248935 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.42010910054867917 the lambda is 0.5004420242393911 the regulation term lambda/alpha is 1.1912191942183445 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.350367921313131 the lambda is 0.5420392517046979 the regulation term lambda/alpha is 1.5470573038570683 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32519494164084073 the lambda is 0.4466485583142902 the regulation term lambda/alpha is 1.373479415333551 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30606748860525695 the lambda is 0.5480302497515638 the regulation term lambda/alpha is 1.7905536202127381 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3044428424344033 the lambda is 0.5288764079010391 the regulation term lambda/alpha is 1.7371944226772003 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2454693253621058 the lambda is 0.4164779986441654 the regulation term lambda/alpha is 1.6966600532665128 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28317729184369617 the lambda is 0.521235786061884 the regulation term lambda/alpha is 1.8406694359856641 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2738707362635346 the lambda is 0.5689384182954729 the regulation term lambda/alpha is 2.07739762947147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3444810882253459 the lambda is 0.46732047785223824 the regulation term lambda/alpha is 1.3565925498543934 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.323646989490952 the lambda is 0.5045326810604753 the regulation term lambda/alpha is 1.558898112582568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4289859963844338 the lambda is 0.6633762230831285 the regulation term lambda/alpha is 1.5463820000516917 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3428416283733348 the lambda is 0.44408943142522644 the regulation term lambda/alpha is 1.295319455610678 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.261628298797117 the lambda is 0.5635002439491801 the regulation term lambda/alpha is 2.153819929036627 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2955466170690364 the lambda is 0.6346513421436386 the regulation term lambda/alpha is 2.147381514420756 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29611135860018173 the lambda is 0.5214329321277472 the regulation term lambda/alpha is 1.7609352596021193 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38250526961732567 the lambda is 0.5167195663561607 the regulation term lambda/alpha is 1.350882216271448 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23052354192291086 the lambda is 0.4796922942571819 the regulation term lambda/alpha is 2.08088202296317 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23853981700245774 the lambda is 0.4098388399385111 the regulation term lambda/alpha is 1.7181150094295932 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2439378797998694 the lambda is 0.45330203802168473 the regulation term lambda/alpha is 1.8582683361582921 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34012107172028533 the lambda is 0.39773528868449903 the regulation term lambda/alpha is 1.169393259502591 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28006326547090266 the lambda is 0.4402021465914156 the regulation term lambda/alpha is 1.571795379344924 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39697614707229356 the lambda is 0.4428357854376476 the regulation term lambda/alpha is 1.1155224028032156 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30224851108632966 the lambda is 0.5315561700396285 the regulation term lambda/alpha is 1.7586725841233437 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3543748335865815 the lambda is 0.5359567592810054 the regulation term lambda/alpha is 1.512400736408556 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34633839478122286 the lambda is 0.462408500883481 the regulation term lambda/alpha is 1.3351349658347236 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30357948453667694 the lambda is 0.5079426288070544 the regulation term lambda/alpha is 1.6731783756147969 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2551605763610676 the lambda is 0.45192302497318015 the regulation term lambda/alpha is 1.771131855156503 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29039149330763564 the lambda is 0.43417060289751547 the regulation term lambda/alpha is 1.4951216302936352 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.39024677489874093 the lambda is 0.4459028873383317 the regulation term lambda/alpha is 1.1426177383631988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4717804793932936 the lambda is 0.43691784698950176 the regulation term lambda/alpha is 0.9261041227296539 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26997629346209207 the lambda is 0.46376936633215227 the regulation term lambda/alpha is 1.7178151473409686 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2318778767954858 the lambda is 0.48850564919599937 the regulation term lambda/alpha is 2.1067367700061226 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40204790228294957 the lambda is 0.540345600408414 the regulation term lambda/alpha is 1.3439831356914642 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3180575774577521 the lambda is 0.4892764941303304 the regulation term lambda/alpha is 1.5383267961767755 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42426761027439414 the lambda is 0.6080423082946461 the regulation term lambda/alpha is 1.4331575014679911 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25608961614183723 the lambda is 0.4822875097312282 the regulation term lambda/alpha is 1.883276319427608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.5096763381896922 the lambda is 0.5133479848327329 the regulation term lambda/alpha is 1.0072038789481224 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2595697177773549 the lambda is 0.4561502311961762 the regulation term lambda/alpha is 1.7573322308245434 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41392446031624586 the lambda is 0.5611495028111904 the regulation term lambda/alpha is 1.355680943287241 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35881172233899516 the lambda is 0.5396993874155723 the regulation term lambda/alpha is 1.504129753335315 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2692232945955046 the lambda is 0.5094831388740937 the regulation term lambda/alpha is 1.8924184834732383 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2704243227241407 the lambda is 0.42879884591516193 the regulation term lambda/alpha is 1.5856519176811577 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27644351537218587 the lambda is 0.4275330115458662 the regulation term lambda/alpha is 1.5465474419621061 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.45152124313527037 the lambda is 0.4560189062111269 the regulation term lambda/alpha is 1.0099611328242846 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.46415777695833677 the lambda is 0.5602658542183365 the regulation term lambda/alpha is 1.207059069202295 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26237154388465783 the lambda is 0.4493166531507337 the regulation term lambda/alpha is 1.7125205214642467 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36403499709788945 the lambda is 0.45431496852922437 the regulation term lambda/alpha is 1.2479980555470016 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24202396717804428 the lambda is 0.3992258772324509 the regulation term lambda/alpha is 1.6495303415085394 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3890046509469229 the lambda is 0.41643010606067526 the regulation term lambda/alpha is 1.0705016123765945 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27689316561666866 the lambda is 0.4094725402088056 the regulation term lambda/alpha is 1.478810570484358 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3514157041402888 the lambda is 0.6051836122237526 the regulation term lambda/alpha is 1.7221302437359403 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2642613286573575 the lambda is 0.5660244570362094 the regulation term lambda/alpha is 2.141911795842514 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30755853235439073 the lambda is 0.47330448842564277 the regulation term lambda/alpha is 1.5389086584672207 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2983133860356566 the lambda is 0.5776944868727133 the regulation term lambda/alpha is 1.9365355827635002 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.396110724731285 the lambda is 0.3679929419128751 the regulation term lambda/alpha is 0.9290153458039175 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22221858913926873 the lambda is 0.4194107647348322 the regulation term lambda/alpha is 1.8873792978317365 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3614397459195567 the lambda is 0.4610061940638353 the regulation term lambda/alpha is 1.2754717743920683 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34410220718053397 the lambda is 0.5674554912195517 the regulation term lambda/alpha is 1.6490899487948794 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2871825990523092 the lambda is 0.4953019852138928 the regulation term lambda/alpha is 1.7246935811862176 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3970654339831679 the lambda is 0.541276489371515 the regulation term lambda/alpha is 1.363192166947628 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.276934028523159 the lambda is 0.5128336318836043 the regulation term lambda/alpha is 1.85182599126029 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.49789702414692166 the lambda is 0.7076754549575387 the regulation term lambda/alpha is 1.4213289508408764 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2938245151998556 the lambda is 0.4015827194511268 the regulation term lambda/alpha is 1.3667434086566108 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33737091382254325 the lambda is 0.5421175073363834 the regulation term lambda/alpha is 1.6068886946831957 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39180355620489843 the lambda is 0.573821595387512 the regulation term lambda/alpha is 1.4645645408267427 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2628142019700491 the lambda is 0.4918069884692669 the regulation term lambda/alpha is 1.8713105486031318 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.36861092092062264 the lambda is 0.5106842680352974 the regulation term lambda/alpha is 1.3854290229921569 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28991718310294556 the lambda is 0.4733963044258561 the regulation term lambda/alpha is 1.6328673566677132 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31732645078270344 the lambda is 0.5629875579284276 the regulation term lambda/alpha is 1.7741589348753855 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.48874561221645313 the lambda is 0.4922986483238064 the regulation term lambda/alpha is 1.0072697043585523 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4376168858505068 the lambda is 0.5559780045586127 the regulation term lambda/alpha is 1.2704674397517168 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2825653712306212 the lambda is 0.4624359493117577 the regulation term lambda/alpha is 1.6365627086495735 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4016207905407879 the lambda is 0.6152878290084518 the regulation term lambda/alpha is 1.5320118965453913 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2870671433549109 the lambda is 0.5608668281819634 the regulation term lambda/alpha is 1.9537827339875837 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3647670276016535 the lambda is 0.5734265538067271 the regulation term lambda/alpha is 1.5720350536533192 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37542915593153287 the lambda is 0.46599507750045976 the regulation term lambda/alpha is 1.2412330532619673 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32226182699240163 the lambda is 0.47948546763322225 the regulation term lambda/alpha is 1.4878754710359403 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4070999572523358 the lambda is 0.49897824872037355 the regulation term lambda/alpha is 1.2256897595572287 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30592548755271814 the lambda is 0.5263509747406523 the regulation term lambda/alpha is 1.7205201794438578 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35530576361714145 the lambda is 0.5400458436442744 the regulation term lambda/alpha is 1.519946758381885 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.44866794039405195 the lambda is 0.4836153992292561 the regulation term lambda/alpha is 1.077891589054727 170 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32005354213353815 the lambda is 0.5300316254079493 the regulation term lambda/alpha is 1.6560717368558309 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38811409633431304 the lambda is 0.7459956300324946 the regulation term lambda/alpha is 1.9221039304635568 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2736602622713608 the lambda is 0.45387362583660557 the regulation term lambda/alpha is 1.6585295288014656 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26827660176991036 the lambda is 0.5013413331736539 the regulation term lambda/alpha is 1.8687478888063203 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.224571823208612 the lambda is 0.500679715307268 the regulation term lambda/alpha is 2.2294859085779897 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2850155482172458 the lambda is 0.5169878884435308 the regulation term lambda/alpha is 1.8138936337938663 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3227430175821681 the lambda is 0.5159501697210834 the regulation term lambda/alpha is 1.5986408430655703 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28538952787800703 the lambda is 0.44959379288458934 the regulation term lambda/alpha is 1.575368922004641 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3020735524090625 the lambda is 0.5279559325326865 the regulation term lambda/alpha is 1.747772780245714 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38926086817346794 the lambda is 0.5907941007832688 the regulation term lambda/alpha is 1.5177330913211413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3207413157732445 the lambda is 0.40063330997776236 the regulation term lambda/alpha is 1.249085447604135 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2634337549381686 the lambda is 0.45360324366805094 the regulation term lambda/alpha is 1.7218873252386264 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26978457144071105 the lambda is 0.5976081204688284 the regulation term lambda/alpha is 2.2151308255971234 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38090634578053234 the lambda is 0.5336062579746459 the regulation term lambda/alpha is 1.4008857134716652 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27078170771851545 the lambda is 0.5136288470665162 the regulation term lambda/alpha is 1.8968373136949364 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2433211662175491 the lambda is 0.3834463008434603 the regulation term lambda/alpha is 1.5758855129792855 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37877500846899453 the lambda is 0.5518876901322443 the regulation term lambda/alpha is 1.4570330084948575 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32439067244960745 the lambda is 0.4402312553180027 the regulation term lambda/alpha is 1.3571020769297568 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.348758755624624 the lambda is 0.4439884421765845 the regulation term lambda/alpha is 1.2730531779235332 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24121196391962346 the lambda is 0.4377556093365858 the regulation term lambda/alpha is 1.8148171517829628 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.292114674963778 the lambda is 0.4481064118955443 the regulation term lambda/alpha is 1.534008559998258 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3187583335779339 the lambda is 0.452577419457345 the regulation term lambda/alpha is 1.419813607309794 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4818837314844585 the lambda is 0.503439455451857 the regulation term lambda/alpha is 1.0447322093671754 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3034600254417021 the lambda is 0.47899043136572544 the regulation term lambda/alpha is 1.578430077136287 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3208600802526189 the lambda is 0.4987400194352326 the regulation term lambda/alpha is 1.5543847618643167 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31907414561166714 the lambda is 0.5221222993347254 the regulation term lambda/alpha is 1.6363666768857554 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3377727673335912 the lambda is 0.5044963716076921 the regulation term lambda/alpha is 1.4935969397125535 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.316261583662875 the lambda is 0.5141413271330225 the regulation term lambda/alpha is 1.6256837810597988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31555116499528113 the lambda is 0.5660805515241615 the regulation term lambda/alpha is 1.7939422012041275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30896286034353576 the lambda is 0.4873857460455754 the regulation term lambda/alpha is 1.5774897523399778 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30775840959511486 the lambda is 0.41718386357195647 the regulation term lambda/alpha is 1.355556340835011 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3099704737058664 the lambda is 0.40605466803402396 the regulation term lambda/alpha is 1.3099785382117803 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3187269674386104 the lambda is 0.5948708616405444 the regulation term lambda/alpha is 1.8663963906823218 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30021035039077104 the lambda is 0.5283940221975342 the regulation term lambda/alpha is 1.760079296099372 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33052942743014824 the lambda is 0.5242547376247555 the regulation term lambda/alpha is 1.586106089557027 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3754928779280583 the lambda is 0.6092930880655384 the regulation term lambda/alpha is 1.6226488540277308 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38241736217369854 the lambda is 0.5169505482721969 the regulation term lambda/alpha is 1.3517967524638481 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2884864578343802 the lambda is 0.43772805986115276 the regulation term lambda/alpha is 1.5173261966856413 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2535745679254433 the lambda is 0.47122520414431235 the regulation term lambda/alpha is 1.8583299106039028 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2746762739286885 the lambda is 0.43215779757440814 the regulation term lambda/alpha is 1.5733350077648318 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3014916392716744 the lambda is 0.42367715669412404 the regulation term lambda/alpha is 1.4052700025699492 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26912492511820835 the lambda is 0.5352840859450283 the regulation term lambda/alpha is 1.9889799716986982 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30365842281307837 the lambda is 0.3702443985684881 the regulation term lambda/alpha is 1.219279199103256 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22831581197064246 the lambda is 0.46544408121807285 the regulation term lambda/alpha is 2.038597665228377 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2734906966342113 the lambda is 0.3973572513510942 the regulation term lambda/alpha is 1.4529095733101007 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29983471391163563 the lambda is 0.49208391010257385 the regulation term lambda/alpha is 1.6411839165747701 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35735004662263264 the lambda is 0.5545577405163689 the regulation term lambda/alpha is 1.5518613912536876 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2844483041518055 the lambda is 0.3952414422435082 the regulation term lambda/alpha is 1.3895018408426658 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.314041472286976 the lambda is 0.4536126496026039 the regulation term lambda/alpha is 1.4444354954115284 using Bay_non_info_prior option for model regressor Convergence after 7 iterations the alpha is 0.2840711185400809 the lambda is 0.3848757661628624 the regulation term lambda/alpha is 1.3548570799483037 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30046554052660684 the lambda is 0.49904751399270847 the regulation term lambda/alpha is 1.660914303577241 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3689696845386 the lambda is 0.5227110527561848 the regulation term lambda/alpha is 1.4166775067437851 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3751528037934792 the lambda is 0.5351403479140592 the regulation term lambda/alpha is 1.426459678570476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35652071839276084 the lambda is 0.5370761938976121 the regulation term lambda/alpha is 1.506437539783992 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2810775532631204 the lambda is 0.4586601683238978 the regulation term lambda/alpha is 1.6317922331369519 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39777425316667175 the lambda is 0.4812080326021609 the regulation term lambda/alpha is 1.2097515833950405 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3399330331219993 the lambda is 0.5245891586600725 the regulation term lambda/alpha is 1.543213243626728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3149954973669605 the lambda is 0.388693650433691 the regulation term lambda/alpha is 1.2339657350113622 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4153045778215746 the lambda is 0.47776848095718744 the regulation term lambda/alpha is 1.1504050436025988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33842376384276684 the lambda is 0.5344024108827611 the regulation term lambda/alpha is 1.57909245147172 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3043394905374593 the lambda is 0.4597176593317013 the regulation term lambda/alpha is 1.510542251746056 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3043773857631531 the lambda is 0.4737050862882479 the regulation term lambda/alpha is 1.5563084133223182 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3082024304170187 the lambda is 0.45169167280394046 the regulation term lambda/alpha is 1.4655681728167136 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38983323815143933 the lambda is 0.5398544109953131 the regulation term lambda/alpha is 1.3848342269511527 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3670291675689221 the lambda is 0.4793176327551645 the regulation term lambda/alpha is 1.3059388057085584 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35137215449937975 the lambda is 0.49613291032416873 the regulation term lambda/alpha is 1.4119869886418235 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3183286192700085 the lambda is 0.6109230215012614 the regulation term lambda/alpha is 1.9191583304769477 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34287761000640893 the lambda is 0.5217559908176863 the regulation term lambda/alpha is 1.5216974675247352 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3695891260295487 the lambda is 0.5238667093742424 the regulation term lambda/alpha is 1.4174299850271006 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33808545045229804 the lambda is 0.5925600572091311 the regulation term lambda/alpha is 1.7526931620878432 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24925650637521687 the lambda is 0.5512709037044923 the regulation term lambda/alpha is 2.211661038346737 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23281630531356998 the lambda is 0.4656627096995504 the regulation term lambda/alpha is 2.000129282493208 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31098268009313534 the lambda is 0.46687020002482926 the regulation term lambda/alpha is 1.5012739612540724 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37936863200217724 the lambda is 0.46488005174551583 the regulation term lambda/alpha is 1.2254045604457036 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4987018973578014 the lambda is 0.5314183092842527 the regulation term lambda/alpha is 1.065603143079639 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3163574051507092 the lambda is 0.665206104810363 the regulation term lambda/alpha is 2.1027043906036154 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2702141384048658 the lambda is 0.4839644017749392 the regulation term lambda/alpha is 1.7910402639620886 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32456474898590004 the lambda is 0.5303633472322039 the regulation term lambda/alpha is 1.6340756317169993 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5086466668548585 the lambda is 0.6204658605807387 the regulation term lambda/alpha is 1.219836678410374 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3384272798869632 the lambda is 0.5396318020714762 the regulation term lambda/alpha is 1.5945280837044713 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909795605776616 the lambda is 0.5106679921598627 the regulation term lambda/alpha is 1.7549960936983644 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3148348600318628 the lambda is 0.6095900897851481 the regulation term lambda/alpha is 1.9362217059554798 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3393345342054382 the lambda is 0.44556065937838235 the regulation term lambda/alpha is 1.313042483051941 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32347991072701615 the lambda is 0.43994542858793523 the regulation term lambda/alpha is 1.3600394151190551 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35667740974655204 the lambda is 0.6200880344572571 the regulation term lambda/alpha is 1.7385122172382028 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33159382037400387 the lambda is 0.49268708726423904 the regulation term lambda/alpha is 1.4858150453724936 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2726614421943053 the lambda is 0.531615338148307 the regulation term lambda/alpha is 1.949726862258231 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3127122748956179 the lambda is 0.5033189620533963 the regulation term lambda/alpha is 1.6095273593638182 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3508739391877753 the lambda is 0.5111597703334584 the regulation term lambda/alpha is 1.456818854990264 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3132148337037517 the lambda is 0.4886936330868997 the regulation term lambda/alpha is 1.5602506027831406 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3230420447113311 the lambda is 0.5491081154467017 the regulation term lambda/alpha is 1.6998038627986714 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5132929333521693 the lambda is 0.5580568153059644 the regulation term lambda/alpha is 1.08720923091899 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2938626704550797 the lambda is 0.5326153129366351 the regulation term lambda/alpha is 1.8124633255112663 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2726846197506347 the lambda is 0.4453765480012667 the regulation term lambda/alpha is 1.6333027818310977 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2782440994421791 the lambda is 0.4455871795170768 the regulation term lambda/alpha is 1.6014254405048856 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2940196298500248 the lambda is 0.500813173250781 the regulation term lambda/alpha is 1.7033324390831954 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30581819869416793 the lambda is 0.487875163074301 the regulation term lambda/alpha is 1.5953110872979743 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3024563616967038 the lambda is 0.46575792353071693 the regulation term lambda/alpha is 1.5399177617489432 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3182724299255051 the lambda is 0.4624602802610702 the regulation term lambda/alpha is 1.4530328007654127 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4170444796470027 the lambda is 0.462276848952867 the regulation term lambda/alpha is 1.1084593407018604 180 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3106260126611529 the lambda is 0.46488082821811544 the regulation term lambda/alpha is 1.496593360728072 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29242094649050077 the lambda is 0.40482812712542043 the regulation term lambda/alpha is 1.3844019451546752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36123875494926394 the lambda is 0.507958620785809 the regulation term lambda/alpha is 1.4061576002750644 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3116281031176591 the lambda is 0.46555355986811026 the regulation term lambda/alpha is 1.4939395876383288 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32591322526378946 the lambda is 0.5451994202684258 the regulation term lambda/alpha is 1.6728361355300918 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4782033032718451 the lambda is 0.5457193617167317 the regulation term lambda/alpha is 1.1411869344752428 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30120847230236164 the lambda is 0.4158028703666815 the regulation term lambda/alpha is 1.3804487874739684 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2806288702665352 the lambda is 0.4333454708069348 the regulation term lambda/alpha is 1.5441941892698092 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35047689964581125 the lambda is 0.48883373061855995 the regulation term lambda/alpha is 1.3947673330612398 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2510171887793084 the lambda is 0.4015991737406527 the regulation term lambda/alpha is 1.5998871459505282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28417200680413063 the lambda is 0.43965935268406986 the regulation term lambda/alpha is 1.5471592632525235 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28070880091245065 the lambda is 0.41784482288146935 the regulation term lambda/alpha is 1.4885348144527524 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29328092328025096 the lambda is 0.40542718688245327 the regulation term lambda/alpha is 1.3823851287287394 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24614262361749834 the lambda is 0.5125310088758143 the regulation term lambda/alpha is 2.082252156669457 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3016574529485122 the lambda is 0.4481460712994965 the regulation term lambda/alpha is 1.485612461814386 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.294683031030667 the lambda is 0.48543949370647443 the regulation term lambda/alpha is 1.6473276116667737 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31665600631521573 the lambda is 0.4895751668555591 the regulation term lambda/alpha is 1.5460788903154759 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36102010756532 the lambda is 0.510974154149039 the regulation term lambda/alpha is 1.4153620350816265 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3721761419301304 the lambda is 0.5599728667168227 the regulation term lambda/alpha is 1.5045909816055536 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32508000764951095 the lambda is 0.4476773526785702 the regulation term lambda/alpha is 1.3771297592721823 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27037661770665744 the lambda is 0.4649780103630925 the regulation term lambda/alpha is 1.7197419447992577 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4400857566817937 the lambda is 0.41875737595502505 the regulation term lambda/alpha is 0.9515358531764747 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3922144575780125 the lambda is 0.5193967391661498 the regulation term lambda/alpha is 1.3242671939568684 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26288467075781685 the lambda is 0.4645858505505206 the regulation term lambda/alpha is 1.7672610929015387 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3731912801024881 the lambda is 0.5274803025259214 the regulation term lambda/alpha is 1.4134314777694204 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2979037932059774 the lambda is 0.4803243922944824 the regulation term lambda/alpha is 1.6123473525641727 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3973365631081499 the lambda is 0.6327607048271768 the regulation term lambda/alpha is 1.5925056075318884 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35095144073570034 the lambda is 0.4418591781503403 the regulation term lambda/alpha is 1.2590322388307336 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3913174866583141 the lambda is 0.4872589707419076 the regulation term lambda/alpha is 1.2451755603944337 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2451703559886322 the lambda is 0.4366929488198332 the regulation term lambda/alpha is 1.781181689192805 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3790766986123288 the lambda is 0.5393255475609816 the regulation term lambda/alpha is 1.4227346326885022 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3618794394291768 the lambda is 0.5735423251179269 the regulation term lambda/alpha is 1.5848988989886357 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3151505335580749 the lambda is 0.42811098890999566 the regulation term lambda/alpha is 1.3584333304995178 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25628325374529354 the lambda is 0.5147919216966914 the regulation term lambda/alpha is 2.0086834163901948 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3284874437630514 the lambda is 0.4154595733614664 the regulation term lambda/alpha is 1.2647654613585497 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.263692745271661 the lambda is 0.3161498892722027 the regulation term lambda/alpha is 1.1989328297466033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33440673930947107 the lambda is 0.5964424658185441 the regulation term lambda/alpha is 1.7835838687048005 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32790776301659935 the lambda is 0.4611051875977928 the regulation term lambda/alpha is 1.4062039378264146 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3583430831861198 the lambda is 0.5098525492956256 the regulation term lambda/alpha is 1.4228056106522178 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31874825386564265 the lambda is 0.5069322579730325 the regulation term lambda/alpha is 1.5903844235228732 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37906752383429726 the lambda is 0.5349441883202659 the regulation term lambda/alpha is 1.4112108125467044 using Bay_non_info_prior option for model regressor Convergence after 8 iterations the alpha is 0.42705284667758986 the lambda is 0.3786865467272137 the regulation term lambda/alpha is 0.8867439935674025 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3268789484371257 the lambda is 0.5797382396837203 the regulation term lambda/alpha is 1.7735563653014852 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30117291204684277 the lambda is 0.45766241846719036 the regulation term lambda/alpha is 1.5196002036066514 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.18141570216661126 the lambda is 0.5317269956443084 the regulation term lambda/alpha is 2.9309866196475816 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25933564719081537 the lambda is 0.5295232297317883 the regulation term lambda/alpha is 2.0418451357062106 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3195338144730242 the lambda is 0.4779803710004573 the regulation term lambda/alpha is 1.4958678842448756 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.28200355389440956 the lambda is 0.3784539430906441 the regulation term lambda/alpha is 1.3420183464508693 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35517439576236953 the lambda is 0.5555561367417586 the regulation term lambda/alpha is 1.5641784525297118 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2416133569754571 the lambda is 0.407925452945301 the regulation term lambda/alpha is 1.6883398254622892 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3138188251397266 the lambda is 0.4920836986292687 the regulation term lambda/alpha is 1.5680502863719867 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2768246005527447 the lambda is 0.4895019599291479 the regulation term lambda/alpha is 1.7682747810409312 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29417451560555663 the lambda is 0.4064539228153326 the regulation term lambda/alpha is 1.3816761862551195 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.48019981681221385 the lambda is 0.4072676855945217 the regulation term lambda/alpha is 0.8481212847979639 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38283026347923405 the lambda is 0.5143600155400595 the regulation term lambda/alpha is 1.3435719811319464 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3409674420476563 the lambda is 0.6443656690983228 the regulation term lambda/alpha is 1.8898158288328926 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3605932479509105 the lambda is 0.5090089702027205 the regulation term lambda/alpha is 1.4115876353625307 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2571776276244671 the lambda is 0.5670656303754927 the regulation term lambda/alpha is 2.20495707816205 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2786197842865759 the lambda is 0.6173700550037002 the regulation term lambda/alpha is 2.215815565949548 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30401827739774007 the lambda is 0.4977727817467456 the regulation term lambda/alpha is 1.6373120261303271 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28812574443227196 the lambda is 0.5515568061568871 the regulation term lambda/alpha is 1.9142919951276285 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27725175463826235 the lambda is 0.46282865409450324 the regulation term lambda/alpha is 1.6693443642885795 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26539001865335543 the lambda is 0.4309440968477572 the regulation term lambda/alpha is 1.623814260364643 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31879721792547105 the lambda is 0.47595352446305844 the regulation term lambda/alpha is 1.4929663676498195 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3895740961172548 the lambda is 0.5089181271924834 the regulation term lambda/alpha is 1.3063448834629605 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2898215447924069 the lambda is 0.40955278668816136 the regulation term lambda/alpha is 1.413120570389325 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2869906588321591 the lambda is 0.46746078311683636 the regulation term lambda/alpha is 1.6288362311827778 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3763115075660902 the lambda is 0.508548664467369 the regulation term lambda/alpha is 1.3514034363619731 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2968264039592376 the lambda is 0.5189181533898829 the regulation term lambda/alpha is 1.748221002135459 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3392439911369914 the lambda is 0.641719099292022 the regulation term lambda/alpha is 1.8916152269676811 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37513141881836426 the lambda is 0.6820510670685634 the regulation term lambda/alpha is 1.8181656690259989 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36374870180279834 the lambda is 0.5060039232094677 the regulation term lambda/alpha is 1.391081042218513 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2849753199760413 the lambda is 0.5339722234558106 the regulation term lambda/alpha is 1.8737490092149145 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3480161266030607 the lambda is 0.5668877002980496 the regulation term lambda/alpha is 1.6289121594202123 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38767342042545355 the lambda is 0.4678154771359414 the regulation term lambda/alpha is 1.2067256935555077 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.44242591064554865 the lambda is 0.5802892376723888 the regulation term lambda/alpha is 1.3116077148955454 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28386892050284335 the lambda is 0.5289207410973666 the regulation term lambda/alpha is 1.8632569573324205 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5567967617551152 the lambda is 0.4805597519206775 the regulation term lambda/alpha is 0.863079286606973 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2640354873747318 the lambda is 0.43212161242655095 the regulation term lambda/alpha is 1.6366042940783307 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4281156097425238 the lambda is 0.4951784701065838 the regulation term lambda/alpha is 1.1566466132930606 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2562171668510015 the lambda is 0.4707769199062081 the regulation term lambda/alpha is 1.837413650662916 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38869927516128727 the lambda is 0.4637657520677757 the regulation term lambda/alpha is 1.1931222456623833 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3763650703182458 the lambda is 0.5085378018165567 the regulation term lambda/alpha is 1.3511822480937157 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.368073315292317 the lambda is 0.5244879603656161 the regulation term lambda/alpha is 1.4249551341397229 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3488662845245824 the lambda is 0.4884878843378114 the regulation term lambda/alpha is 1.400215228603986 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24187053183106813 the lambda is 0.4636286062838468 the regulation term lambda/alpha is 1.916846185328865 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2545580460743585 the lambda is 0.48011242197733267 the regulation term lambda/alpha is 1.8860626461482497 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3287032968153173 the lambda is 0.4790037192768118 the regulation term lambda/alpha is 1.4572525554738842 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34350428503438996 the lambda is 0.5489410960253639 the regulation term lambda/alpha is 1.5980618581523856 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.21324723155008152 the lambda is 0.411331418195559 the regulation term lambda/alpha is 1.9288945286914876 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.321001411552375 the lambda is 0.4889941618379406 the regulation term lambda/alpha is 1.5233395998888175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3580878109132467 the lambda is 0.4852172007578298 the regulation term lambda/alpha is 1.3550229468027957 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3259919808429901 the lambda is 0.5000292902895691 the regulation term lambda/alpha is 1.5338699099178206 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28017785131447726 the lambda is 0.5198922332603534 the regulation term lambda/alpha is 1.855579342982454 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2860390765183559 the lambda is 0.46357383847261496 the regulation term lambda/alpha is 1.6206661135785976 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27779131031247123 the lambda is 0.5338371998144459 the regulation term lambda/alpha is 1.9217202986442001 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28772986764264563 the lambda is 0.5003610984795295 the regulation term lambda/alpha is 1.7389960332549392 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36801431788947525 the lambda is 0.532936695655295 the regulation term lambda/alpha is 1.4481411992653788 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2912482672792611 the lambda is 0.476260264807334 the regulation term lambda/alpha is 1.6352381054706004 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22278346795863693 the lambda is 0.4649477494282166 the regulation term lambda/alpha is 2.086993948377449 190 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29135953959799127 the lambda is 0.4292837957956995 the regulation term lambda/alpha is 1.4733816383290959 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3393939212306558 the lambda is 0.4818894592362832 the regulation term lambda/alpha is 1.41985294695006 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28583555359853735 the lambda is 0.5549420905118688 the regulation term lambda/alpha is 1.941473282540974 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5248646942803026 the lambda is 0.574567512056041 the regulation term lambda/alpha is 1.0946964395155043 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26489524531572184 the lambda is 0.4972657320863785 the regulation term lambda/alpha is 1.877216525701321 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33225899367160494 the lambda is 0.4612109908710322 the regulation term lambda/alpha is 1.3881068674001933 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33309685551082163 the lambda is 0.463802960083182 the regulation term lambda/alpha is 1.3923966930636906 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29716016045590843 the lambda is 0.5218766316021637 the regulation term lambda/alpha is 1.75621331877561 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2968141769679494 the lambda is 0.42274381177869974 the regulation term lambda/alpha is 1.4242709566542993 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31450985193919556 the lambda is 0.39858962037246853 the regulation term lambda/alpha is 1.267335881260496 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22948282206377119 the lambda is 0.47996858345070886 the regulation term lambda/alpha is 2.091522925917871 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3618191372749174 the lambda is 0.5128029303930434 the regulation term lambda/alpha is 1.4172907885837047 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3407690211948627 the lambda is 0.5746832045544802 the regulation term lambda/alpha is 1.6864303056053263 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2919811850639148 the lambda is 0.4415007052193937 the regulation term lambda/alpha is 1.5120861473411344 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3160189962855468 the lambda is 0.5190575505397356 the regulation term lambda/alpha is 1.6424884473423498 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38544980710894816 the lambda is 0.5767777196517746 the regulation term lambda/alpha is 1.4963756863127635 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36649774719566647 the lambda is 0.39332729356586343 the regulation term lambda/alpha is 1.0732052149719578 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24197623009422373 the lambda is 0.4961178563272784 the regulation term lambda/alpha is 2.050275170144166 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3611926186532327 the lambda is 0.4833195128157736 the regulation term lambda/alpha is 1.3381212346418139 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2870339723752126 the lambda is 0.45840649478035866 the regulation term lambda/alpha is 1.5970461300696728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.344600223585975 the lambda is 0.5258637350013131 the regulation term lambda/alpha is 1.5260110093054375 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3990536786746558 the lambda is 0.4944156785794477 the regulation term lambda/alpha is 1.2389703566234744 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28032841041620693 the lambda is 0.520073444257128 the regulation term lambda/alpha is 1.8552291702612973 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28968793457347974 the lambda is 0.6068825796282848 the regulation term lambda/alpha is 2.0949529034470307 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26345420600050357 the lambda is 0.532221853925021 the regulation term lambda/alpha is 2.0201683700734074 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34199378918412454 the lambda is 0.4798309974707486 the regulation term lambda/alpha is 1.4030400920889663 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4652099178685891 the lambda is 0.5579987248727525 the regulation term lambda/alpha is 1.1994557799397003 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2505359513869233 the lambda is 0.46557627351640357 the regulation term lambda/alpha is 1.858321214736067 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.20908936858724403 the lambda is 0.503587788032681 the regulation term lambda/alpha is 2.408481078857701 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32082802906536256 the lambda is 0.573391856797483 the regulation term lambda/alpha is 1.7872249456130447 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22353460368975192 the lambda is 0.405487177068545 the regulation term lambda/alpha is 1.8139794482617493 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34651874262613974 the lambda is 0.36881760570448013 the regulation term lambda/alpha is 1.0643511023656194 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31138068570466426 the lambda is 0.45360748197905165 the regulation term lambda/alpha is 1.4567617800459385 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30465050440391256 the lambda is 0.4969954507483491 the regulation term lambda/alpha is 1.6313626387088507 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3560999770029503 the lambda is 0.5519071349032632 the regulation term lambda/alpha is 1.549865685328844 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3117836825688566 the lambda is 0.47490049700552617 the regulation term lambda/alpha is 1.5231730316760426 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26327435695704604 the lambda is 0.4185204530554255 the regulation term lambda/alpha is 1.5896742010605625 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28707213332203835 the lambda is 0.4718093757986651 the regulation term lambda/alpha is 1.643522031688767 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5030166343930769 the lambda is 0.5433367768548212 the regulation term lambda/alpha is 1.0801566781392693 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3675810146680668 the lambda is 0.5052657329265192 the regulation term lambda/alpha is 1.3745697214062715 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3577894881791969 the lambda is 0.5143322590277789 the regulation term lambda/alpha is 1.4375275854112808 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32930221965692136 the lambda is 0.48491762830296026 the regulation term lambda/alpha is 1.4725610680916894 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3480437137251699 the lambda is 0.5387017170236074 the regulation term lambda/alpha is 1.5477990142611486 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24002467029603947 the lambda is 0.44238812849001524 the regulation term lambda/alpha is 1.8430944116885426 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4095245663740872 the lambda is 0.4971184243589949 the regulation term lambda/alpha is 1.21389158350245 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2797065754886962 the lambda is 0.5447332577412559 the regulation term lambda/alpha is 1.947516810391432 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3009525150087213 the lambda is 0.40690839960555575 the regulation term lambda/alpha is 1.3520684470563868 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29955984760512266 the lambda is 0.5024989214999172 the regulation term lambda/alpha is 1.677457528160807 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32204409458515554 the lambda is 0.45502651169108116 the regulation term lambda/alpha is 1.412932326168652 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.318829335893144 the lambda is 0.46410171278429185 the regulation term lambda/alpha is 1.4556430683650643 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43907918550551417 the lambda is 0.6147203418758891 the regulation term lambda/alpha is 1.4000215955765662 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.26020121529125584 the lambda is 0.38681916432113916 the regulation term lambda/alpha is 1.4866155174877016 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32137544945806995 the lambda is 0.5333226861581531 the regulation term lambda/alpha is 1.6595003976112248 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24964161191866413 the lambda is 0.37627673040169396 the regulation term lambda/alpha is 1.5072676686781243 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27533765583032466 the lambda is 0.584356528018335 the regulation term lambda/alpha is 2.1223269525416515 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4025276230353216 the lambda is 0.5639660777882035 the regulation term lambda/alpha is 1.4010618042447134 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3157896046413724 the lambda is 0.4368586495685694 the regulation term lambda/alpha is 1.3833851499471919 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41950255037023354 the lambda is 0.6174249403744126 the regulation term lambda/alpha is 1.4718025905432564 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3047922666664406 the lambda is 0.3943333203532813 the regulation term lambda/alpha is 1.2937773148451723 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2577236799405163 the lambda is 0.515993536717139 the regulation term lambda/alpha is 2.002119234197775 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4397389361623807 the lambda is 0.5058667776531977 the regulation term lambda/alpha is 1.1503797732079795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37539751943081257 the lambda is 0.49216688679186194 the regulation term lambda/alpha is 1.3110552449523325 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3412117809826399 the lambda is 0.46578665236043776 the regulation term lambda/alpha is 1.3650954577800347 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2655091541574404 the lambda is 0.5802800290234286 the regulation term lambda/alpha is 2.185536807063672 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32696737553590677 the lambda is 0.606143713866329 the regulation term lambda/alpha is 1.8538354564361232 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.48066776054083815 the lambda is 0.47274349861966364 the regulation term lambda/alpha is 0.9835140557122901 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2668734651233132 the lambda is 0.5164949997924284 the regulation term lambda/alpha is 1.9353553923158808 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2761528371920298 the lambda is 0.48929458885643606 the regulation term lambda/alpha is 1.7718253190214113 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3466954853943313 the lambda is 0.44360086375342617 the regulation term lambda/alpha is 1.2795115092106686 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33445994784963173 the lambda is 0.5001302281661875 the regulation term lambda/alpha is 1.4953366804656643 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35242992607612916 the lambda is 0.49694008090832537 the regulation term lambda/alpha is 1.4100393983029134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36462696305268916 the lambda is 0.5637031263638719 the regulation term lambda/alpha is 1.5459721399769768 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3284688502434189 the lambda is 0.546955407905608 the regulation term lambda/alpha is 1.665166750211702 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5416219842264385 the lambda is 0.5378936679124762 the regulation term lambda/alpha is 0.9931163866635008 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4017115794067526 the lambda is 0.46145303124852405 the regulation term lambda/alpha is 1.1487172760366966 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2722022407409652 the lambda is 0.46554409714395556 the regulation term lambda/alpha is 1.710287526938397 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3314296013202605 the lambda is 0.4415188479266146 the regulation term lambda/alpha is 1.3321647980983293 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24446420257975193 the lambda is 0.5119635094870256 the regulation term lambda/alpha is 2.0942269014622172 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2881769773752438 the lambda is 0.5276654835854572 the regulation term lambda/alpha is 1.8310466311067186 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3159195803642233 the lambda is 0.4330090717587369 the regulation term lambda/alpha is 1.3706306879096295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3055490632239997 the lambda is 0.46086002822783134 the regulation term lambda/alpha is 1.5083012311183959 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3039731233900929 the lambda is 0.4595880478111524 the regulation term lambda/alpha is 1.5119364590051494 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32350842611397296 the lambda is 0.459636783834285 the regulation term lambda/alpha is 1.4207876726906448 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3451782294667106 the lambda is 0.5235320022098597 the regulation term lambda/alpha is 1.516700526040417 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2966859796315043 the lambda is 0.5361715952985884 the regulation term lambda/alpha is 1.8072023354947029 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2977415539162654 the lambda is 0.5513546260655791 the regulation term lambda/alpha is 1.8517893079198409 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3439737113307577 the lambda is 0.5403020342903531 the regulation term lambda/alpha is 1.5707654872811203 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2572858107494372 the lambda is 0.5512467899915204 the regulation term lambda/alpha is 2.1425464093251643 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33988199951879905 the lambda is 0.5047975501115728 the regulation term lambda/alpha is 1.485214135571343 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3284204960287175 the lambda is 0.5521544127136248 the regulation term lambda/alpha is 1.6812422470287716 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4026788873141646 the lambda is 0.5466029250308435 the regulation term lambda/alpha is 1.3574163986511447 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28796175804747326 the lambda is 0.49062304636778903 the regulation term lambda/alpha is 1.7037784798039228 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2283665841340349 the lambda is 0.5173250185024421 the regulation term lambda/alpha is 2.2653271294665824 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27044001576584714 the lambda is 0.4737620396496674 the regulation term lambda/alpha is 1.7518193019921315 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36187293784351676 the lambda is 0.6540131197170753 the regulation term lambda/alpha is 1.8073004398021262 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3100296652553563 the lambda is 0.6009445158782295 the regulation term lambda/alpha is 1.9383452076537928 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4137155091252636 the lambda is 0.6222416143155066 the regulation term lambda/alpha is 1.50403260354232 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34728783115733775 the lambda is 0.4969030120871003 the regulation term lambda/alpha is 1.4308103178598846 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2972391291957773 the lambda is 0.49583764523053014 the regulation term lambda/alpha is 1.6681439168930732 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3314671351019549 the lambda is 0.42483706653907716 the regulation term lambda/alpha is 1.2816868447859933 200 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36982738120869074 the lambda is 0.5152330075953585 the regulation term lambda/alpha is 1.3931716086338575 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2766326561754642 the lambda is 0.41203153216632 the regulation term lambda/alpha is 1.4894536959691926 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3310532352151865 the lambda is 0.4764633825047248 the regulation term lambda/alpha is 1.4392349381362213 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3310814881446159 the lambda is 0.5440522444567903 the regulation term lambda/alpha is 1.6432578200178596 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27417701331204075 the lambda is 0.45381216923682555 the regulation term lambda/alpha is 1.6551794906319959 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4003956081120481 the lambda is 0.48373619923351535 the regulation term lambda/alpha is 1.2081456175666765 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2765364866812401 the lambda is 0.44627537478737367 the regulation term lambda/alpha is 1.6138028660998696 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3498271376490247 the lambda is 0.572266775535575 the regulation term lambda/alpha is 1.6358558669331138 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33179650275074113 the lambda is 0.4524253923643336 the regulation term lambda/alpha is 1.363562872464071 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33181408546623087 the lambda is 0.687404778289085 the regulation term lambda/alpha is 2.071656413630587 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3876123634862494 the lambda is 0.6004665678928505 the regulation term lambda/alpha is 1.5491419378168316 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2991345333964909 the lambda is 0.5067240205757886 the regulation term lambda/alpha is 1.693966974732891 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26727378306394783 the lambda is 0.40206319644462873 the regulation term lambda/alpha is 1.5043121395428118 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27489149119098205 the lambda is 0.38540459685114853 the regulation term lambda/alpha is 1.402024468568898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3178306108382573 the lambda is 0.5275558399147756 the regulation term lambda/alpha is 1.659864789371237 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2094478391989159 the lambda is 0.4692853426157152 the regulation term lambda/alpha is 2.240583356747011 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36468522361372474 the lambda is 0.5653411115916227 the regulation term lambda/alpha is 1.5502166662788428 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32335755296747243 the lambda is 0.5412986080088452 the regulation term lambda/alpha is 1.673994013875087 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42420421169030387 the lambda is 0.4978448333765419 the regulation term lambda/alpha is 1.1735971017185478 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31860353908945827 the lambda is 0.4726384001498805 the regulation term lambda/alpha is 1.4834687696836035 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39003573952599363 the lambda is 0.46684008719685943 the regulation term lambda/alpha is 1.196916179435775 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29738728562152006 the lambda is 0.5022118140474321 the regulation term lambda/alpha is 1.6887467566000414 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37364914249664943 the lambda is 0.5731204077626463 the regulation term lambda/alpha is 1.5338464419673745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42753099091826285 the lambda is 0.5412215614218785 the regulation term lambda/alpha is 1.2659235772813284 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29441269369561146 the lambda is 0.507243126244251 the regulation term lambda/alpha is 1.7228982890550282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27119375437551885 the lambda is 0.4767369340941411 the regulation term lambda/alpha is 1.7579200346701531 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3401989473320282 the lambda is 0.4286906196228107 the regulation term lambda/alpha is 1.2601174194828304 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3490233185089767 the lambda is 0.5417271187714808 the regulation term lambda/alpha is 1.5521229959239753 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34084171853968126 the lambda is 0.5004715496721923 the regulation term lambda/alpha is 1.4683400606487869 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33664726314167326 the lambda is 0.39899933056510806 the regulation term lambda/alpha is 1.1852148353785807 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2580431355198219 the lambda is 0.47768230243224036 the regulation term lambda/alpha is 1.8511722912913784 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31286557174510055 the lambda is 0.5156408493120188 the regulation term lambda/alpha is 1.6481226951111272 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3274450307606892 the lambda is 0.5498044493132053 the regulation term lambda/alpha is 1.6790740358342033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27935853681596773 the lambda is 0.4619347047504247 the regulation term lambda/alpha is 1.6535549978726163 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30139898227215417 the lambda is 0.49278657991609115 the regulation term lambda/alpha is 1.634997491368832 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27886189501010067 the lambda is 0.5447131578581306 the regulation term lambda/alpha is 1.9533438150034823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32339645012020335 the lambda is 0.49372635077135385 the regulation term lambda/alpha is 1.5266906936914135 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2987015112695517 the lambda is 0.5091018121294267 the regulation term lambda/alpha is 1.7043831146539041 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2897119849274871 the lambda is 0.4370759363984427 the regulation term lambda/alpha is 1.5086567319879423 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2549452669567062 the lambda is 0.45060351602141724 the regulation term lambda/alpha is 1.7674519766548045 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3156791857870027 the lambda is 0.47851414999194014 the regulation term lambda/alpha is 1.5158242023432187 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32844460468870357 the lambda is 0.5278362090588072 the regulation term lambda/alpha is 1.6070783368753614 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.5552361666528637 the lambda is 0.5449455746739124 the regulation term lambda/alpha is 0.981466279401455 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4261867494348215 the lambda is 0.5173147864855898 the regulation term lambda/alpha is 1.213821844934447 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24356965892471807 the lambda is 0.4189092033405521 the regulation term lambda/alpha is 1.7198743274917816 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37274558067647734 the lambda is 0.5002619864708927 the regulation term lambda/alpha is 1.3421003826872802 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3436028387912195 the lambda is 0.41271215024051705 the regulation term lambda/alpha is 1.20113137508532 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32414831790571097 the lambda is 0.48060704528483594 the regulation term lambda/alpha is 1.482676351338143 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27966727822183324 the lambda is 0.5108429550392528 the regulation term lambda/alpha is 1.8266096709177757 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4115172822402296 the lambda is 0.4515265500245485 the regulation term lambda/alpha is 1.097223785029186 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3114543860135475 the lambda is 0.5747657947386883 the regulation term lambda/alpha is 1.84542527108187 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3956568211933728 the lambda is 0.521915305607282 the regulation term lambda/alpha is 1.3191111024778766 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3242272294925197 the lambda is 0.5375193451417003 the regulation term lambda/alpha is 1.6578476335347445 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.281240466249519 the lambda is 0.5379170305961148 the regulation term lambda/alpha is 1.9126587214475395 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3212886786498711 the lambda is 0.5474660189357361 the regulation term lambda/alpha is 1.7039692193211233 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30054577656610115 the lambda is 0.5010289164978019 the regulation term lambda/alpha is 1.66706357421598 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2864427442545881 the lambda is 0.4136749647745763 the regulation term lambda/alpha is 1.4441802875862173 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.292449477366102 the lambda is 0.5314089939355805 the regulation term lambda/alpha is 1.8170967468351389 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.294697726556089 the lambda is 0.47094858365706005 the regulation term lambda/alpha is 1.598073351839807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3755204526491184 the lambda is 0.5482882956961879 the regulation term lambda/alpha is 1.4600757211179163 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3560842750997944 the lambda is 0.5112733705584945 the regulation term lambda/alpha is 1.4358212544353655 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27792826530260045 the lambda is 0.4825668057877042 the regulation term lambda/alpha is 1.7362998515544976 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3534206267764854 the lambda is 0.5221764924043674 the regulation term lambda/alpha is 1.4774929725157457 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29363095613181095 the lambda is 0.5220309362397372 the regulation term lambda/alpha is 1.7778470741531676 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36077264671204007 the lambda is 0.46069185774606725 the regulation term lambda/alpha is 1.2769589433807056 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4762363969755371 the lambda is 0.43725369470545095 the regulation term lambda/alpha is 0.9181442188844533 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28438868277113677 the lambda is 0.5304662722337973 the regulation term lambda/alpha is 1.8652861536712158 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.44597661059615923 the lambda is 0.5376763154614661 the regulation term lambda/alpha is 1.2056155024424426 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2594631372521058 the lambda is 0.5914496572954199 the regulation term lambda/alpha is 2.2795132424562543 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3028872547863335 the lambda is 0.4508598430629274 the regulation term lambda/alpha is 1.4885401611929119 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38688695438434395 the lambda is 0.5088181664570272 the regulation term lambda/alpha is 1.3151597920036182 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23857192676232783 the lambda is 0.5136572285665274 the regulation term lambda/alpha is 2.1530497554234342 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2804261988623875 the lambda is 0.5147337706095556 the regulation term lambda/alpha is 1.835540946950356 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3338735067710896 the lambda is 0.5088922566606999 the regulation term lambda/alpha is 1.5242067619627175 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3132525381466834 the lambda is 0.40223524956528195 the regulation term lambda/alpha is 1.284060623882101 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26074627637656234 the lambda is 0.4073173372522394 the regulation term lambda/alpha is 1.5621213959888092 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33500931567100084 the lambda is 0.534826494257136 the regulation term lambda/alpha is 1.5964526036713784 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30129824666386035 the lambda is 0.49849755577065596 the regulation term lambda/alpha is 1.6544986945337208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.44572237730795383 the lambda is 0.4979593719080907 the regulation term lambda/alpha is 1.1171962577145769 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.332969381622491 the lambda is 0.5369274904762278 the regulation term lambda/alpha is 1.6125431349269745 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35427736046640257 the lambda is 0.4238851813512285 the regulation term lambda/alpha is 1.1964783208082728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24297391374797114 the lambda is 0.471443058806014 the regulation term lambda/alpha is 1.9403031853659254 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3319794038245086 the lambda is 0.5554394951493329 the regulation term lambda/alpha is 1.6731143220045968 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23912746405416313 the lambda is 0.4672994090800272 the regulation term lambda/alpha is 1.9541854421798344 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3515942670066504 the lambda is 0.5893970139671797 the regulation term lambda/alpha is 1.6763555873225635 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37982847926607594 the lambda is 0.5182719767914911 the regulation term lambda/alpha is 1.364489513247987 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3099115148057642 the lambda is 0.5907306715924113 the regulation term lambda/alpha is 1.906126889033631 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35302027428156996 the lambda is 0.5889301985154547 the regulation term lambda/alpha is 1.668261687558835 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.324630158352011 the lambda is 0.4657972811124324 the regulation term lambda/alpha is 1.4348552318030403 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29129846602674536 the lambda is 0.45406260336103965 the regulation term lambda/alpha is 1.5587538429376768 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2790009766312919 the lambda is 0.3946778013566232 the regulation term lambda/alpha is 1.414610823668197 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22081192153022589 the lambda is 0.43634162215726713 the regulation term lambda/alpha is 1.9760781896802542 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3241927621968654 the lambda is 0.46942534515553846 the regulation term lambda/alpha is 1.4479821880492227 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40873325566722807 the lambda is 0.48992016598057314 the regulation term lambda/alpha is 1.198630547398971 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.274586604506285 the lambda is 0.4461565358113797 the regulation term lambda/alpha is 1.624829938858753 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30229459017694227 the lambda is 0.4974222725881781 the regulation term lambda/alpha is 1.6454885027781068 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3100757134803059 the lambda is 0.4824534512204092 the regulation term lambda/alpha is 1.5559214419127725 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26413439747967915 the lambda is 0.5086294208565754 the regulation term lambda/alpha is 1.9256462835201391 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35875470863037945 the lambda is 0.45796648129301454 the regulation term lambda/alpha is 1.276544865547261 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40984101738036693 the lambda is 0.46550073822017984 the regulation term lambda/alpha is 1.1358080779605229 210 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3803981741825723 the lambda is 0.5055298689463241 the regulation term lambda/alpha is 1.3289492517482346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3028860567149261 the lambda is 0.4352554941427829 the regulation term lambda/alpha is 1.4370271740585334 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25345778672726016 the lambda is 0.5470020844115407 the regulation term lambda/alpha is 2.158158529965215 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3116326145780917 the lambda is 0.4549877566887551 the regulation term lambda/alpha is 1.460013282963809 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33079211157698984 the lambda is 0.4927996535837153 the regulation term lambda/alpha is 1.4897563646073197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3037284244371595 the lambda is 0.4593165102136091 the regulation term lambda/alpha is 1.5122605369081623 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3089101582451884 the lambda is 0.5303337101094773 the regulation term lambda/alpha is 1.716789480547093 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3493833676369186 the lambda is 0.45381684787221793 the regulation term lambda/alpha is 1.2989079902161436 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30221415968642124 the lambda is 0.4783111324783353 the regulation term lambda/alpha is 1.582689351732007 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4790494259472988 the lambda is 0.4875364654718335 the regulation term lambda/alpha is 1.0177164172731277 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39097732038989436 the lambda is 0.4682450923096712 the regulation term lambda/alpha is 1.1976272481552719 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3703692522219565 the lambda is 0.4998262303053476 the regulation term lambda/alpha is 1.349534896071258 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3455579846450023 the lambda is 0.5752524166995652 the regulation term lambda/alpha is 1.664705902514543 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30037596527679 the lambda is 0.4724271567758531 the regulation term lambda/alpha is 1.572786145990481 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29978893999915646 the lambda is 0.47003648912475277 the regulation term lambda/alpha is 1.5678913609223721 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4792643034117071 the lambda is 0.5359113334866229 the regulation term lambda/alpha is 1.1181958048443548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3841768300365934 the lambda is 0.5186212956479211 the regulation term lambda/alpha is 1.3499546435388143 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2470522313451883 the lambda is 0.38228576237530587 the regulation term lambda/alpha is 1.5473884218481941 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3836014475819197 the lambda is 0.45433554917692565 the regulation term lambda/alpha is 1.184394772336985 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22086143426644833 the lambda is 0.39281890703605865 the regulation term lambda/alpha is 1.7785762749424148 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3192267782018147 the lambda is 0.4487512111980545 the regulation term lambda/alpha is 1.4057442603212773 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2599659734147649 the lambda is 0.4130395432898981 the regulation term lambda/alpha is 1.5888215594696722 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2882041658749812 the lambda is 0.40091116100825047 the regulation term lambda/alpha is 1.3910665024257836 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2773584336142536 the lambda is 0.4684892750955258 the regulation term lambda/alpha is 1.689111338676993 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.295772224617697 the lambda is 0.48926017706251185 the regulation term lambda/alpha is 1.6541789131650528 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29887761755583636 the lambda is 0.48777397870017714 the regulation term lambda/alpha is 1.6320190942670745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37541745150865263 the lambda is 0.5484181052152242 the regulation term lambda/alpha is 1.4608220875490765 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.38396813357394655 the lambda is 0.44962007581132496 the regulation term lambda/alpha is 1.1709827886660673 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3028780093668617 the lambda is 0.5337526451829453 the regulation term lambda/alpha is 1.762269391226869 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29748171974321796 the lambda is 0.525110881314832 the regulation term lambda/alpha is 1.765187056764699 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3537622432165744 the lambda is 0.5275609898666855 the regulation term lambda/alpha is 1.4912868741159326 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.313865748519558 the lambda is 0.4892643322010229 the regulation term lambda/alpha is 1.5588331460466296 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.257261706648901 the lambda is 0.3566443918996371 the regulation term lambda/alpha is 1.386309670977846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.5123023667482478 the lambda is 0.6101542613844583 the regulation term lambda/alpha is 1.1910041822709287 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31140577183120216 the lambda is 0.4952047990828068 the regulation term lambda/alpha is 1.5902235728348448 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3596401185574853 the lambda is 0.5746938551829374 the regulation term lambda/alpha is 1.5979692629621844 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37101104803668583 the lambda is 0.602139596283052 the regulation term lambda/alpha is 1.6229694492103428 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3013432702778502 the lambda is 0.4846732434728941 the regulation term lambda/alpha is 1.6083758665856602 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42970278103649234 the lambda is 0.6331820492081055 the regulation term lambda/alpha is 1.4735349109931237 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36733803808337573 the lambda is 0.5589867528384254 the regulation term lambda/alpha is 1.52172303133919 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3921615475123428 the lambda is 0.4940632483913509 the regulation term lambda/alpha is 1.2598462330777112 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30714447448141025 the lambda is 0.5085704933847174 the regulation term lambda/alpha is 1.6558021896483712 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25564543046607585 the lambda is 0.4603248990752272 the regulation term lambda/alpha is 1.8006380878234096 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3278681045566084 the lambda is 0.47821988800593257 the regulation term lambda/alpha is 1.4585739855746322 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29904460215861023 the lambda is 0.41420102947471943 the regulation term lambda/alpha is 1.3850811099243028 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.27763645665504977 the lambda is 0.4668767291544365 the regulation term lambda/alpha is 1.6816117550963736 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3225466425209482 the lambda is 0.5256513723225872 the regulation term lambda/alpha is 1.629691036974437 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2729493287721882 the lambda is 0.509575021148861 the regulation term lambda/alpha is 1.8669216863111167 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3843043889145312 the lambda is 0.5815898899587284 the regulation term lambda/alpha is 1.5133573977685517 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.305316863084708 the lambda is 0.6104030210092075 the regulation term lambda/alpha is 1.9992443746543258 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2547579351209111 the lambda is 0.5011454580223548 the regulation term lambda/alpha is 1.9671436643749889 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4680100478036681 the lambda is 0.4721744472515527 the regulation term lambda/alpha is 1.008898098379357 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3351761174568041 the lambda is 0.46983169383199086 the regulation term lambda/alpha is 1.401745737127409 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29693897981410483 the lambda is 0.4778335459752743 the regulation term lambda/alpha is 1.6091977761707688 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3633887528472049 the lambda is 0.5304219721727146 the regulation term lambda/alpha is 1.459654345426983 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.255650245692297 the lambda is 0.490702508448705 the regulation term lambda/alpha is 1.9194290508889988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37829745375899465 the lambda is 0.4786821302607658 the regulation term lambda/alpha is 1.265359112265461 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23539585890716191 the lambda is 0.4558551189981543 the regulation term lambda/alpha is 1.9365468921776554 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43253503840098795 the lambda is 0.5599896652019231 the regulation term lambda/alpha is 1.294668906528623 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3364626556193783 the lambda is 0.47528473588125186 the regulation term lambda/alpha is 1.412592832944038 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2747036369656454 the lambda is 0.5394900779295483 the regulation term lambda/alpha is 1.9638985631523225 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4490315373020269 the lambda is 0.6220480989913305 the regulation term lambda/alpha is 1.3853104900579165 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3542742607378072 the lambda is 0.5238946736403055 the regulation term lambda/alpha is 1.4787827728417213 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3231054707222638 the lambda is 0.5166045135152807 the regulation term lambda/alpha is 1.5988726912004083 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29628489795836443 the lambda is 0.5317809974007643 the regulation term lambda/alpha is 1.7948299122403906 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25239567474489033 the lambda is 0.49840926901676663 the regulation term lambda/alpha is 1.9747139863650012 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30378272746229457 the lambda is 0.5471626046707494 the regulation term lambda/alpha is 1.8011643033215674 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3237063226026465 the lambda is 0.5257779700553724 the regulation term lambda/alpha is 1.6242437460845378 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2816371118455799 the lambda is 0.45762660490376345 the regulation term lambda/alpha is 1.6248803359220558 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31673589956466763 the lambda is 0.5310120769784479 the regulation term lambda/alpha is 1.6765137065558042 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22908075644560094 the lambda is 0.45884500105311926 the regulation term lambda/alpha is 2.0029836122969136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34170511549291577 the lambda is 0.5314430829556394 the regulation term lambda/alpha is 1.5552681504022061 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31320178257431763 the lambda is 0.43051640329622404 the regulation term lambda/alpha is 1.374565622703854 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3370231361567651 the lambda is 0.48064965808217985 the regulation term lambda/alpha is 1.426162202284556 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.261929872192953 the lambda is 0.5371462071769285 the regulation term lambda/alpha is 2.050725267338866 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34708132829226923 the lambda is 0.49806974450321306 the regulation term lambda/alpha is 1.4350231600007015 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2612790891467026 the lambda is 0.5482130338140291 the regulation term lambda/alpha is 2.0981894709002877 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28446159278161065 the lambda is 0.4539208528370704 the regulation term lambda/alpha is 1.5957192969300376 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3460465176934265 the lambda is 0.5235507930130174 the regulation term lambda/alpha is 1.5129491737201863 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27408155430979136 the lambda is 0.5168387253302292 the regulation term lambda/alpha is 1.8857114504905796 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4750332732605772 the lambda is 0.48675909835330455 the regulation term lambda/alpha is 1.0246842184595673 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35233631757747297 the lambda is 0.49426880738573425 the regulation term lambda/alpha is 1.4028324153017597 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3142171547091724 the lambda is 0.41275532146341576 the regulation term lambda/alpha is 1.3135989403425368 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3473275770649342 the lambda is 0.574233352361418 the regulation term lambda/alpha is 1.6532904102056454 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35080599112387867 the lambda is 0.5430634326218876 the regulation term lambda/alpha is 1.5480449204475468 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3237363159453575 the lambda is 0.5985226241380953 the regulation term lambda/alpha is 1.84879667389283 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3337340036335666 the lambda is 0.4182258303615384 the regulation term lambda/alpha is 1.2531711656830216 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3765415024615214 the lambda is 0.48045566914566357 the regulation term lambda/alpha is 1.2759700219095 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2809919826160737 the lambda is 0.5236974297762849 the regulation term lambda/alpha is 1.8637450965703373 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28198308342402295 the lambda is 0.4340950329845749 the regulation term lambda/alpha is 1.5394364360922266 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3018790029853293 the lambda is 0.4755743224238269 the regulation term lambda/alpha is 1.5753805919616701 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2538867204003811 the lambda is 0.5268406126292928 the regulation term lambda/alpha is 2.075101099413398 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34234588087532736 the lambda is 0.3927962780700106 the regulation term lambda/alpha is 1.147366742271556 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35891146820833214 the lambda is 0.516099627198665 the regulation term lambda/alpha is 1.4379580284102043 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25803986533138734 the lambda is 0.4600089145204787 the regulation term lambda/alpha is 1.7827048310140485 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34520613994026 the lambda is 0.4754169770122794 the regulation term lambda/alpha is 1.3771973380732834 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23838564215783495 the lambda is 0.5630362881328724 the regulation term lambda/alpha is 2.3618716422530452 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25754133054676154 the lambda is 0.4143181125878916 the regulation term lambda/alpha is 1.6087441643183724 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2686942246115477 the lambda is 0.48393214605429863 the regulation term lambda/alpha is 1.801051536384607 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33284102243103597 the lambda is 0.5320737701094066 the regulation term lambda/alpha is 1.5985823088247821 220 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3212463311318984 the lambda is 0.4769916426577436 the regulation term lambda/alpha is 1.48481584514003 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3042178610702673 the lambda is 0.4148228825111185 the regulation term lambda/alpha is 1.3635717543070358 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2626291180420681 the lambda is 0.46708132969361515 the regulation term lambda/alpha is 1.7784826495087942 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29984081980105104 the lambda is 0.4288941979403598 the regulation term lambda/alpha is 1.4304063009997694 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.44833171099689756 the lambda is 0.5589622079033661 the regulation term lambda/alpha is 1.2467603655794808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32348186005911045 the lambda is 0.5972566876608331 the regulation term lambda/alpha is 1.8463374964880417 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3659738699801642 the lambda is 0.5355596312979631 the regulation term lambda/alpha is 1.4633821571113548 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3934747483042076 the lambda is 0.4530736791366645 the regulation term lambda/alpha is 1.151468248189536 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2993392782176004 the lambda is 0.5409572896911269 the regulation term lambda/alpha is 1.8071710899826707 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3925722774043451 the lambda is 0.5197203893302614 the regulation term lambda/alpha is 1.3238845920720868 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28552020109489923 the lambda is 0.5119842383618433 the regulation term lambda/alpha is 1.7931629229683594 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2827543411603968 the lambda is 0.4072797304025925 the regulation term lambda/alpha is 1.44040133471039 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2834344054417089 the lambda is 0.5151448783559724 the regulation term lambda/alpha is 1.8175100427669044 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3099249100660287 the lambda is 0.5516374840558673 the regulation term lambda/alpha is 1.7799068940226277 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3043365988303271 the lambda is 0.4983599148237793 the regulation term lambda/alpha is 1.6375286992729505 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28288893151465083 the lambda is 0.5423157895929926 the regulation term lambda/alpha is 1.9170625965792023 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.328646679614473 the lambda is 0.49543364411916135 the regulation term lambda/alpha is 1.5074962713767315 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3234130384790795 the lambda is 0.4399981307929844 the regulation term lambda/alpha is 1.360483587372271 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3065086660953078 the lambda is 0.47903468857637105 the regulation term lambda/alpha is 1.5628748598821571 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3207298087744385 the lambda is 0.43129389612487673 the regulation term lambda/alpha is 1.3447265714805925 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2786348892113824 the lambda is 0.508629856869621 the regulation term lambda/alpha is 1.8254349206202825 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28472433597369146 the lambda is 0.5269686495042749 the regulation term lambda/alpha is 1.8508029800198282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32068917207561054 the lambda is 0.5318469498721454 the regulation term lambda/alpha is 1.6584499764362144 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30314548328358415 the lambda is 0.49193697475441955 the regulation term lambda/alpha is 1.6227752082132334 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.420316824069018 the lambda is 0.5245817258314771 the regulation term lambda/alpha is 1.2480626417783798 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3551455072611808 the lambda is 0.5309532661580281 the regulation term lambda/alpha is 1.4950302208597415 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39063790332802667 the lambda is 0.546425455031987 the regulation term lambda/alpha is 1.398802958895523 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.276401298968058 the lambda is 0.458000100082018 the regulation term lambda/alpha is 1.6570113881228405 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32429114393318487 the lambda is 0.47175821216490976 the regulation term lambda/alpha is 1.4547366494291567 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37187917198772763 the lambda is 0.5103941766709275 the regulation term lambda/alpha is 1.3724731448196592 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3602529320603291 the lambda is 0.4613807120290118 the regulation term lambda/alpha is 1.2807132738388025 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40717930475344294 the lambda is 0.5916238099214577 the regulation term lambda/alpha is 1.4529810405754793 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28289233802128144 the lambda is 0.4859890307914424 the regulation term lambda/alpha is 1.7179292807671673 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3023173707582074 the lambda is 0.47549603769810184 the regulation term lambda/alpha is 1.5728373017586286 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2830788338311145 the lambda is 0.4767818333713626 the regulation term lambda/alpha is 1.6842722817482418 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33645080681883094 the lambda is 0.4394404314678964 the regulation term lambda/alpha is 1.306106041542419 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3804754770116731 the lambda is 0.5373827686807982 the regulation term lambda/alpha is 1.4123979103765236 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2571991459875365 the lambda is 0.520205021145601 the regulation term lambda/alpha is 2.022576782470379 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.252302475136011 the lambda is 0.4895224627501501 the regulation term lambda/alpha is 1.9402206121293846 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28202845367280555 the lambda is 0.429460368606152 the regulation term lambda/alpha is 1.5227554631930478 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29885939658236005 the lambda is 0.5098411894321806 the regulation term lambda/alpha is 1.7059566982418033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3171006909844479 the lambda is 0.4575314803051859 the regulation term lambda/alpha is 1.442858667020771 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29072096201744757 the lambda is 0.43067042359630137 the regulation term lambda/alpha is 1.481387584189594 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.384346157803329 the lambda is 0.5545547012236047 the regulation term lambda/alpha is 1.4428522048797792 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2927437514159003 the lambda is 0.5139208369124942 the regulation term lambda/alpha is 1.7555313629303335 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3133135027602437 the lambda is 0.5286310255673841 the regulation term lambda/alpha is 1.6872270773848752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31270215041032173 the lambda is 0.5114759667305762 the regulation term lambda/alpha is 1.6356650124069414 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2920099475027215 the lambda is 0.4553169935322741 the regulation term lambda/alpha is 1.5592516536719372 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35283788800154936 the lambda is 0.536557457079557 the regulation term lambda/alpha is 1.5206911596670734 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40853521870587395 the lambda is 0.4414922580836922 the regulation term lambda/alpha is 1.0806712319251617 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2920516657031365 the lambda is 0.5097310631818296 the regulation term lambda/alpha is 1.7453455091742534 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29910344834429414 the lambda is 0.5369185360237073 the regulation term lambda/alpha is 1.7950930990460106 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2953590928649769 the lambda is 0.45298335413835084 the regulation term lambda/alpha is 1.5336699125949431 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41423087465438974 the lambda is 0.568962847482228 the regulation term lambda/alpha is 1.37354041500875 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30579913256546654 the lambda is 0.5376256195016009 the regulation term lambda/alpha is 1.7581005380599115 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29532667919742817 the lambda is 0.5403829770053173 the regulation term lambda/alpha is 1.8297804264546893 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43227693647580906 the lambda is 0.6644136665959472 the regulation term lambda/alpha is 1.5370092885654771 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3390430824389271 the lambda is 0.5302648491348576 the regulation term lambda/alpha is 1.5640043304242193 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28111953527369987 the lambda is 0.4113518006887034 the regulation term lambda/alpha is 1.4632629507167068 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.304776148505924 the lambda is 0.46363200072375615 the regulation term lambda/alpha is 1.5212214046163932 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2858278223927499 the lambda is 0.45076821698356734 the regulation term lambda/alpha is 1.5770620690807922 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31349019681615037 the lambda is 0.46202166029111447 the regulation term lambda/alpha is 1.4737993882535088 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25399581290878315 the lambda is 0.4603818451185974 the regulation term lambda/alpha is 1.8125568285802143 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3310676377232321 the lambda is 0.5020863285569949 the regulation term lambda/alpha is 1.5165672247818194 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28205718577528943 the lambda is 0.448126570742008 the regulation term lambda/alpha is 1.588779131828336 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37546396164682433 the lambda is 0.5619662305441749 the regulation term lambda/alpha is 1.4967248203511518 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32319693415472894 the lambda is 0.48848668920131605 the regulation term lambda/alpha is 1.5114211726013944 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33304098741759797 the lambda is 0.510411370522789 the regulation term lambda/alpha is 1.5325782405358634 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.293961547664091 the lambda is 0.4537554765332626 the regulation term lambda/alpha is 1.5435878608578006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4238527244664648 the lambda is 0.4767460162160561 the regulation term lambda/alpha is 1.12479167573164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3472765376040265 the lambda is 0.576932585585757 the regulation term lambda/alpha is 1.6613059712187932 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2865717172776618 the lambda is 0.47495940750107685 the regulation term lambda/alpha is 1.6573840992161994 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37810787613513713 the lambda is 0.4802724652704814 the regulation term lambda/alpha is 1.2701995794946896 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4225933220534917 the lambda is 0.6851046395362951 the regulation term lambda/alpha is 1.6211913529707287 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3722543691184526 the lambda is 0.5149904491457288 the regulation term lambda/alpha is 1.3834369502909907 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41654526792722624 the lambda is 0.4919421164309033 the regulation term lambda/alpha is 1.1810051735285816 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34128372251758504 the lambda is 0.524452114399923 the regulation term lambda/alpha is 1.5367041549217162 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29673574584584866 the lambda is 0.49157543454364777 the regulation term lambda/alpha is 1.6566101031825684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36808194457311433 the lambda is 0.45790913370306335 the regulation term lambda/alpha is 1.2440412806287653 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29849539259490115 the lambda is 0.4833454593575916 the regulation term lambda/alpha is 1.619272763829749 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2909397560956897 the lambda is 0.4526028972098526 the regulation term lambda/alpha is 1.5556584747427644 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3803741312833546 the lambda is 0.6222273629406704 the regulation term lambda/alpha is 1.6358298626705254 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30683168757830404 the lambda is 0.5903225479804397 the regulation term lambda/alpha is 1.9239295414356063 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.276736074347686 the lambda is 0.4763001244754971 the regulation term lambda/alpha is 1.7211349318957332 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2393974519097451 the lambda is 0.4869550339053041 the regulation term lambda/alpha is 2.034086119216049 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2979977356699425 the lambda is 0.5268941162102655 the regulation term lambda/alpha is 1.7681144959901474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2847279534842731 the lambda is 0.4259616242350607 the regulation term lambda/alpha is 1.4960302247197117 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3773822905311227 the lambda is 0.49642476776910355 the regulation term lambda/alpha is 1.315442669740655 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3178393763354385 the lambda is 0.5263173428251452 the regulation term lambda/alpha is 1.6559223998403678 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3880189348945347 the lambda is 0.5168004071464053 the regulation term lambda/alpha is 1.3318948140684783 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2922808870626002 the lambda is 0.5285898557515389 the regulation term lambda/alpha is 1.8084995603504055 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2574511704494388 the lambda is 0.4657073138817052 the regulation term lambda/alpha is 1.8089151160925334 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31758499655016625 the lambda is 0.5170633873566745 the regulation term lambda/alpha is 1.6281102475664282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2514339046741475 the lambda is 0.4704492380076718 the regulation term lambda/alpha is 1.871065235284649 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35078559828522304 the lambda is 0.5313258924878037 the regulation term lambda/alpha is 1.514674191543587 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3557129252358557 the lambda is 0.45818678968211196 the regulation term lambda/alpha is 1.288080238800181 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3163907930576249 the lambda is 0.5754028966924809 the regulation term lambda/alpha is 1.818646146848153 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34987500358672213 the lambda is 0.5068280034267767 the regulation term lambda/alpha is 1.448597351142724 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2335662644651059 the lambda is 0.5083859863810373 the regulation term lambda/alpha is 2.1766242121707977 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.314446196419849 the lambda is 0.5089323954814053 the regulation term lambda/alpha is 1.6185039007496154 230 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40947169636678626 the lambda is 0.5332321872152949 the regulation term lambda/alpha is 1.302244311259183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.44519354772757974 the lambda is 0.4662288797377224 the regulation term lambda/alpha is 1.0472498582190022 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3333327854559381 the lambda is 0.44818216926998117 the regulation term lambda/alpha is 1.3445487177534914 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31016227009788216 the lambda is 0.48451226069781617 the regulation term lambda/alpha is 1.562125079059139 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2727489067954653 the lambda is 0.4093684799363154 the regulation term lambda/alpha is 1.5008987011020405 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36547069709190905 the lambda is 0.538651623071795 the regulation term lambda/alpha is 1.4738572130622396 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33119772548708537 the lambda is 0.451382751528837 the regulation term lambda/alpha is 1.3628799861623389 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4375427428889793 the lambda is 0.5925698662028565 the regulation term lambda/alpha is 1.354313094739668 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2807186129835522 the lambda is 0.48269614848490694 the regulation term lambda/alpha is 1.7195017578445677 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2668878308870582 the lambda is 0.447482447756368 the regulation term lambda/alpha is 1.6766686074410562 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3140120365643925 the lambda is 0.45721028951118187 the regulation term lambda/alpha is 1.4560279106289116 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4103096492971225 the lambda is 0.4957835774108242 the regulation term lambda/alpha is 1.2083156666193986 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2988686724158038 the lambda is 0.516559870620647 the regulation term lambda/alpha is 1.7283841308799952 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3199495475101805 the lambda is 0.47720172219798884 the regulation term lambda/alpha is 1.4914905362783946 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25147740809309094 the lambda is 0.4987648180197537 the regulation term lambda/alpha is 1.9833384708463468 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2975066125651815 the lambda is 0.4170609481069061 the regulation term lambda/alpha is 1.401854380683828 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3788448917629468 the lambda is 0.5696857149120096 the regulation term lambda/alpha is 1.5037439524682226 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.29294907710150236 the lambda is 0.4253225367201948 the regulation term lambda/alpha is 1.4518650849779844 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3337996930455561 the lambda is 0.47770700797862514 the regulation term lambda/alpha is 1.4311187755149581 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4913811706154406 the lambda is 0.572426400026413 the regulation term lambda/alpha is 1.1649335266743444 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28346614215938215 the lambda is 0.5188371734707575 the regulation term lambda/alpha is 1.8303320795858409 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3580690604249552 the lambda is 0.5100014489045953 the regulation term lambda/alpha is 1.424310294498294 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2954426943579148 the lambda is 0.4338727208453145 the regulation term lambda/alpha is 1.4685511915880995 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43535449664002945 the lambda is 0.5560913417377993 the regulation term lambda/alpha is 1.2773299599052963 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3293121609481726 the lambda is 0.46304197264845137 the regulation term lambda/alpha is 1.4060882881313492 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3538995489122861 the lambda is 0.5195025405298979 the regulation term lambda/alpha is 1.4679378431721495 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4337526693677827 the lambda is 0.6868744135152556 the regulation term lambda/alpha is 1.5835623894059514 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30882874257429305 the lambda is 0.4468644275702166 the regulation term lambda/alpha is 1.44696514918043 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37474032166279164 the lambda is 0.6506735490504069 the regulation term lambda/alpha is 1.7363318315020086 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2930500424244395 the lambda is 0.5069855531001046 the regulation term lambda/alpha is 1.7300306422266656 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3462722804439653 the lambda is 0.4593864301643486 the regulation term lambda/alpha is 1.326662444869559 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3581514657137891 the lambda is 0.5286563627206677 the regulation term lambda/alpha is 1.4760692425677098 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30156254674473354 the lambda is 0.5324368577302059 the regulation term lambda/alpha is 1.765593451433817 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3345297667801329 the lambda is 0.5565577168701507 the regulation term lambda/alpha is 1.663701625798651 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2792884361455098 the lambda is 0.5138057556311303 the regulation term lambda/alpha is 1.8396957737392197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2825583958717415 the lambda is 0.44686856424833643 the regulation term lambda/alpha is 1.5815087103310794 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3683622782675675 the lambda is 0.4626031352646657 the regulation term lambda/alpha is 1.2558374257003708 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33584151579545846 the lambda is 0.5542119786693633 the regulation term lambda/alpha is 1.6502187865508016 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28430766657065076 the lambda is 0.4543351453287351 the regulation term lambda/alpha is 1.5980404285574632 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2979897202696368 the lambda is 0.4817499148995265 the regulation term lambda/alpha is 1.6166662207797429 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30952980478660974 the lambda is 0.5773446269595525 the regulation term lambda/alpha is 1.8652311280898284 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3308168256938411 the lambda is 0.4945059269840436 the regulation term lambda/alpha is 1.4948028291695503 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35477647052757344 the lambda is 0.4288790597787561 the regulation term lambda/alpha is 1.2088712059765063 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38393337170946296 the lambda is 0.6800764120154367 the regulation term lambda/alpha is 1.7713396701813056 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3311101642538605 the lambda is 0.5308826456917957 the regulation term lambda/alpha is 1.6033414343776249 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3113242776554168 the lambda is 0.4929810925961611 the regulation term lambda/alpha is 1.5834971056828646 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34383286890512116 the lambda is 0.4545039388100165 the regulation term lambda/alpha is 1.3218746080248496 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41404267505159137 the lambda is 0.534953418563009 the regulation term lambda/alpha is 1.292024834146267 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27232101367833106 the lambda is 0.4430824880773181 the regulation term lambda/alpha is 1.6270594842919195 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.41016811960550814 the lambda is 0.5965222824806263 the regulation term lambda/alpha is 1.454336048970237 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.254461402002143 the lambda is 0.5177266535366549 the regulation term lambda/alpha is 2.0345979762081745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4419155754576321 the lambda is 0.5446169295666284 the regulation term lambda/alpha is 1.232400394583609 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31201275565888326 the lambda is 0.5130239293862421 the regulation term lambda/alpha is 1.6442402436492691 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33698367605678076 the lambda is 0.4210151611634812 the regulation term lambda/alpha is 1.249363666780528 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3430667490954846 the lambda is 0.4537851597508062 the regulation term lambda/alpha is 1.3227313954128084 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35882023136529095 the lambda is 0.46192766963957205 the regulation term lambda/alpha is 1.287351239594164 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38693309108290885 the lambda is 0.5699618008172233 the regulation term lambda/alpha is 1.4730241841608127 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38206032953541197 the lambda is 0.4989670431641733 the regulation term lambda/alpha is 1.305990192101129 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3268468426481265 the lambda is 0.5080818261492328 the regulation term lambda/alpha is 1.5544951330498806 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3832395839812015 the lambda is 0.5213670371413046 the regulation term lambda/alpha is 1.3604206322457506 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36051359494960195 the lambda is 0.5871531625900307 the regulation term lambda/alpha is 1.6286574787064878 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.24348600467827256 the lambda is 0.43644859040379774 the regulation term lambda/alpha is 1.7924997002620093 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26418698489552134 the lambda is 0.507920337872492 the regulation term lambda/alpha is 1.9225789569965397 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32410173146838983 the lambda is 0.4971816893965631 the regulation term lambda/alpha is 1.5340297231489923 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3305300070911682 the lambda is 0.46369367145722484 the regulation term lambda/alpha is 1.4028791985876394 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30954010347465516 the lambda is 0.4046463479943102 the regulation term lambda/alpha is 1.3072501541870236 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30494173483121495 the lambda is 0.5120930007402056 the regulation term lambda/alpha is 1.6793142500604212 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2974127790914291 the lambda is 0.4630524203064912 the regulation term lambda/alpha is 1.5569351852367515 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31496876033920285 the lambda is 0.47071090215661093 the regulation term lambda/alpha is 1.4944685360214232 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2656448503901416 the lambda is 0.66110181499222 the regulation term lambda/alpha is 2.488667911391044 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3232098814703027 the lambda is 0.44442135461300264 the regulation term lambda/alpha is 1.375024032654265 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3098752333250051 the lambda is 0.5306980631513688 the regulation term lambda/alpha is 1.712618518933906 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3063070719388806 the lambda is 0.5049020768638957 the regulation term lambda/alpha is 1.6483526601848812 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.23190940017479458 the lambda is 0.4380742432541738 the regulation term lambda/alpha is 1.8889887297538988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31735198007316684 the lambda is 0.48656453887684287 the regulation term lambda/alpha is 1.5332015220597122 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31138822141639216 the lambda is 0.5269419027028085 the regulation term lambda/alpha is 1.692234537022437 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31826709316787066 the lambda is 0.45737374469741293 the regulation term lambda/alpha is 1.4370751941237299 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30219143082556654 the lambda is 0.3590363265909746 the regulation term lambda/alpha is 1.1881088937899784 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34883524818681344 the lambda is 0.5246388266956933 the regulation term lambda/alpha is 1.5039730916605392 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3818858996486598 the lambda is 0.45829786623137536 the regulation term lambda/alpha is 1.2000910917449834 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3135879449136522 the lambda is 0.4526176611063159 the regulation term lambda/alpha is 1.4433515970486241 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3053154976348022 the lambda is 0.45813563109878586 the regulation term lambda/alpha is 1.500531858513048 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2841018125345401 the lambda is 0.4699097026941652 the regulation term lambda/alpha is 1.654018672045731 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2686944540380535 the lambda is 0.429427964497114 the regulation term lambda/alpha is 1.598201816388428 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30575114166290085 the lambda is 0.4448697415935035 the regulation term lambda/alpha is 1.4550059868099685 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34503063296310404 the lambda is 0.48990734129156305 the regulation term lambda/alpha is 1.419895204910549 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3056061261843749 the lambda is 0.5487247805574608 the regulation term lambda/alpha is 1.795529387478346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.309611800606395 the lambda is 0.4173594870364028 the regulation term lambda/alpha is 1.3480089784012654 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28878999080329887 the lambda is 0.4890137970307 the regulation term lambda/alpha is 1.6933197569294496 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26959012241247515 the lambda is 0.45585736640743385 the regulation term lambda/alpha is 1.690927554496853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.349700206751828 the lambda is 0.49708357064905173 the regulation term lambda/alpha is 1.4214563247365117 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.294536599583798 the lambda is 0.4932508995248067 the regulation term lambda/alpha is 1.6746675972419274 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4144488869797236 the lambda is 0.48607764990012303 the regulation term lambda/alpha is 1.1728289426529543 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30950307428927387 the lambda is 0.5104758734472603 the regulation term lambda/alpha is 1.6493402355355904 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3523842634117049 the lambda is 0.4695241115819299 the regulation term lambda/alpha is 1.3324207699745256 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2510933769627401 the lambda is 0.559712271526237 the regulation term lambda/alpha is 2.2291000993199956 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3736348785120328 the lambda is 0.5249427904789317 the regulation term lambda/alpha is 1.4049619579667427 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3158118716737004 the lambda is 0.5104614139433009 the regulation term lambda/alpha is 1.6163465015992626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2965936121668874 the lambda is 0.6049633674170208 the regulation term lambda/alpha is 2.039704641638134 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34213812875713817 the lambda is 0.4437474324814432 the regulation term lambda/alpha is 1.2969832800962997 240 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3053106489198822 the lambda is 0.44332695421584645 the regulation term lambda/alpha is 1.4520520518502507 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2707777288430239 the lambda is 0.5099709308307449 the regulation term lambda/alpha is 1.8833562605379068 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35805981397315445 the lambda is 0.5191147980762904 the regulation term lambda/alpha is 1.4497991056745927 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33558705211108475 the lambda is 0.488835742801911 the regulation term lambda/alpha is 1.456658532344384 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.315564391096161 the lambda is 0.48665863562379275 the regulation term lambda/alpha is 1.542184889534937 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34046778239439396 the lambda is 0.5155832537715418 the regulation term lambda/alpha is 1.514337862295282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3260867865076027 the lambda is 0.5297171570641495 the regulation term lambda/alpha is 1.6244667952891712 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2859102970963967 the lambda is 0.4812430842774666 the regulation term lambda/alpha is 1.683196055422978 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30371118947148545 the lambda is 0.4264334550986004 the regulation term lambda/alpha is 1.4040755490131094 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2777968723064096 the lambda is 0.4382193120119554 the regulation term lambda/alpha is 1.5774810867150444 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35166940865253354 the lambda is 0.5088962474583014 the regulation term lambda/alpha is 1.447087050898748 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26730877669137065 the lambda is 0.49523686370195413 the regulation term lambda/alpha is 1.852677154232555 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3434984582707904 the lambda is 0.4652129646130505 the regulation term lambda/alpha is 1.354337853377813 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24706434169481276 the lambda is 0.5073704646086239 the regulation term lambda/alpha is 2.053596488785724 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36695203044741304 the lambda is 0.5076322412474837 the regulation term lambda/alpha is 1.3833749349432507 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.33921278050836573 the lambda is 0.5072290690761663 the regulation term lambda/alpha is 1.495312376839106 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30581083450526203 the lambda is 0.45004082827136505 the regulation term lambda/alpha is 1.4716314057330147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36286610621069837 the lambda is 0.4548621695609556 the regulation term lambda/alpha is 1.2535261954083958 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2657301820685486 the lambda is 0.44118208197769715 the regulation term lambda/alpha is 1.6602633488727616 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3274678386909997 the lambda is 0.4351060365259435 the regulation term lambda/alpha is 1.3286985319389233 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2437748540726588 the lambda is 0.4222456557605708 the regulation term lambda/alpha is 1.732113254120614 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32626013854644337 the lambda is 0.45668046898129044 the regulation term lambda/alpha is 1.3997433796721128 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3419002491469065 the lambda is 0.5414806978613317 the regulation term lambda/alpha is 1.5837388221050117 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3630447320672146 the lambda is 0.5357528277996665 the regulation term lambda/alpha is 1.475721255474591 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28112627981911203 the lambda is 0.4675780298850728 the regulation term lambda/alpha is 1.6632313072471607 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39324545941990113 the lambda is 0.5206010727792394 the regulation term lambda/alpha is 1.3238578102013125 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3259604919487967 the lambda is 0.6027905748899193 the regulation term lambda/alpha is 1.849274957483523 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38347184434420967 the lambda is 0.5412557688335422 the regulation term lambda/alpha is 1.4114615631277052 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26126193059217145 the lambda is 0.39956489807838325 the regulation term lambda/alpha is 1.5293651745309271 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3501104643332409 the lambda is 0.5419533770958002 the regulation term lambda/alpha is 1.5479496681937506 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2819551269343577 the lambda is 0.4490573233363346 the regulation term lambda/alpha is 1.5926552860337955 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2920295108371552 the lambda is 0.5207492915129602 the regulation term lambda/alpha is 1.783207765612929 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3416997462746507 the lambda is 0.5241908010561832 the regulation term lambda/alpha is 1.534068452701894 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2717950140107716 the lambda is 0.45710936245986394 the regulation term lambda/alpha is 1.681816585648433 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35778882058278516 the lambda is 0.4972237073760131 the regulation term lambda/alpha is 1.3897128103838157 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.3141222464061118 the lambda is 0.46572375960743684 the regulation term lambda/alpha is 1.4826194735833118 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23425862507767442 the lambda is 0.5042660984097529 the regulation term lambda/alpha is 2.152604192236468 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3521352739775671 the lambda is 0.5139579270861547 the regulation term lambda/alpha is 1.4595468419869138 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3754364383839285 the lambda is 0.49177475134813037 the regulation term lambda/alpha is 1.3098748578187611 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31348600910942315 the lambda is 0.4785887590069961 the regulation term lambda/alpha is 1.5266670444611241 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3709354806912609 the lambda is 0.5164690511874621 the regulation term lambda/alpha is 1.3923420057444775 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35613378826098685 the lambda is 0.5384028078653215 the regulation term lambda/alpha is 1.511799288953627 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.31008574568924513 the lambda is 0.5119743788681786 the regulation term lambda/alpha is 1.6510735691193552 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3707016598114212 the lambda is 0.5427576509694727 the regulation term lambda/alpha is 1.464136015052044 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40630474723443005 the lambda is 0.560882291607714 the regulation term lambda/alpha is 1.3804473007648508 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31103154980174325 the lambda is 0.4898091450637574 the regulation term lambda/alpha is 1.5747892629412354 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26420988971597326 the lambda is 0.5184600037272068 the regulation term lambda/alpha is 1.9623035469435057 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3968736996554902 the lambda is 0.5771185740009159 the regulation term lambda/alpha is 1.4541618013536521 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39675093570580217 the lambda is 0.559078881431855 the regulation term lambda/alpha is 1.409143195685925 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3544997099929345 the lambda is 0.5202912405004919 the regulation term lambda/alpha is 1.467677478525615 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29189513093458475 the lambda is 0.44634225074811795 the regulation term lambda/alpha is 1.5291185204735245 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36749842350366996 the lambda is 0.465384322882938 the regulation term lambda/alpha is 1.2663573314030572 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2986727668255634 the lambda is 0.446736854572282 the regulation term lambda/alpha is 1.495740168480757 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31089612791488 the lambda is 0.4924285909042614 the regulation term lambda/alpha is 1.5839006880107653 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.339145564518472 the lambda is 0.47401008855788085 the regulation term lambda/alpha is 1.3976597017593113 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3244647789668455 the lambda is 0.46551950315971147 the regulation term lambda/alpha is 1.434730464865893 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3415877666625388 the lambda is 0.5947202363394376 the regulation term lambda/alpha is 1.7410466485674039 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3443417091559243 the lambda is 0.5144966953589034 the regulation term lambda/alpha is 1.494145732795703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33556095319137763 the lambda is 0.5516408562360104 the regulation term lambda/alpha is 1.6439363727799337 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4579385988229405 the lambda is 0.5588491038701651 the regulation term lambda/alpha is 1.220358155671086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.317315620125556 the lambda is 0.5531341977291097 the regulation term lambda/alpha is 1.7431672525614863 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3283882519110187 the lambda is 0.43656303460823864 the regulation term lambda/alpha is 1.3294112443661088 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3222421660674719 the lambda is 0.42347540059921995 the regulation term lambda/alpha is 1.3141526627851414 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3826190661270515 the lambda is 0.5166965493253545 the regulation term lambda/alpha is 1.3504202876125926 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3371926328465815 the lambda is 0.6884505991485327 the regulation term lambda/alpha is 2.0417130508950625 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3072867110038966 the lambda is 0.5268966030879517 the regulation term lambda/alpha is 1.7146742251449667 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3543418878495723 the lambda is 0.47328137173860746 the regulation term lambda/alpha is 1.335663064310162 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25023242204681523 the lambda is 0.5936471616541408 the regulation term lambda/alpha is 2.372383070100633 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3479951194778838 the lambda is 0.45454890825642574 the regulation term lambda/alpha is 1.3061933424193144 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.49959126071074744 the lambda is 0.5237868216842466 the regulation term lambda/alpha is 1.0484307130174317 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3648525308988592 the lambda is 0.5704013737091976 the regulation term lambda/alpha is 1.5633751321498126 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3669665315416175 the lambda is 0.5058262109596855 the regulation term lambda/alpha is 1.3783987570602743 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36513741606560407 the lambda is 0.4809822831265067 the regulation term lambda/alpha is 1.3172637532169227 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26324986227573255 the lambda is 0.5162366240004177 the regulation term lambda/alpha is 1.9610138426575978 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26893147818268487 the lambda is 0.49247541558817637 the regulation term lambda/alpha is 1.8312300922008033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2941908538861963 the lambda is 0.5120936000524295 the regulation term lambda/alpha is 1.7406849780942746 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37155665165755564 the lambda is 0.4737389516306389 the regulation term lambda/alpha is 1.2750113596869728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35166277042858585 the lambda is 0.48869444888694885 the regulation term lambda/alpha is 1.3896678579064734 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3227026974482055 the lambda is 0.49711523662263446 the regulation term lambda/alpha is 1.5404743764263777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28402028969035387 the lambda is 0.4492048347035559 the regulation term lambda/alpha is 1.5815941712942072 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3691833061251751 the lambda is 0.5326339686982164 the regulation term lambda/alpha is 1.4427357896773965 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28214058749886756 the lambda is 0.5693429623581777 the regulation term lambda/alpha is 2.017940656483757 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2305623621198267 the lambda is 0.38156589711803024 the regulation term lambda/alpha is 1.654935756252032 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26085460327102405 the lambda is 0.47370834768270725 the regulation term lambda/alpha is 1.8159861537522162 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30568981703140125 the lambda is 0.5542117413905436 the regulation term lambda/alpha is 1.81298725215179 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3769989829773866 the lambda is 0.5511984025332889 the regulation term lambda/alpha is 1.4620686723877747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28510267698700426 the lambda is 0.41774775898327826 the regulation term lambda/alpha is 1.4652537233184952 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.289239572955108 the lambda is 0.4557613623078537 the regulation term lambda/alpha is 1.575722705062184 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41896241273784113 the lambda is 0.5044678883195048 the regulation term lambda/alpha is 1.2040886556455062 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29463509174514024 the lambda is 0.541999854589215 the regulation term lambda/alpha is 1.8395631402183605 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2700348289612814 the lambda is 0.41322406746381757 the regulation term lambda/alpha is 1.530262111199986 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2746041297546767 the lambda is 0.5168300788633944 the regulation term lambda/alpha is 1.882091428577987 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.35456189730559573 the lambda is 0.41498475979767646 the regulation term lambda/alpha is 1.1704155549461155 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3109591498507219 the lambda is 0.49800590441811016 the regulation term lambda/alpha is 1.6015155195053155 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3179940069410466 the lambda is 0.4680999484867732 the regulation term lambda/alpha is 1.4720401588371914 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3007720336650133 the lambda is 0.49404551052869355 the regulation term lambda/alpha is 1.6425912492879566 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30798354839256575 the lambda is 0.5091715416790962 the regulation term lambda/alpha is 1.6532426629168182 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25970292849745585 the lambda is 0.4038590923745802 the regulation term lambda/alpha is 1.55508101010319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40150801585723417 the lambda is 0.6146977514724702 the regulation term lambda/alpha is 1.5309725514696593 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3681736582497397 the lambda is 0.5973572276832144 the regulation term lambda/alpha is 1.6224876883451962 250 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2839972237629287 the lambda is 0.4629931158851496 the regulation term lambda/alpha is 1.6302733870090245 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36821221464270726 the lambda is 0.5931621502212673 the regulation term lambda/alpha is 1.6109246967725908 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3156278995338203 the lambda is 0.553964143652835 the regulation term lambda/alpha is 1.755117796845701 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.236314424813788 the lambda is 0.558088592994674 the regulation term lambda/alpha is 2.361635746249679 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3095413491828443 the lambda is 0.5598446823032582 the regulation term lambda/alpha is 1.8086264848983429 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23191019213001354 the lambda is 0.4099032894157307 the regulation term lambda/alpha is 1.767508731077807 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.30046121251343394 the lambda is 0.5448980024782585 the regulation term lambda/alpha is 1.813538585962724 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3132075013439897 the lambda is 0.5179493138581014 the regulation term lambda/alpha is 1.6536938343927072 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30422076095622314 the lambda is 0.49990392474823064 the regulation term lambda/alpha is 1.6432275140491348 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2780529854042861 the lambda is 0.4675626811387125 the regulation term lambda/alpha is 1.6815596511538309 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28682685692639115 the lambda is 0.4290687400115736 the regulation term lambda/alpha is 1.4959154962315337 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3159732157289253 the lambda is 0.48067635933250863 the regulation term lambda/alpha is 1.5212566616560401 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35378514418496426 the lambda is 0.48991599357987364 the regulation term lambda/alpha is 1.384783961770136 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2695058862814834 the lambda is 0.5394549679005306 the regulation term lambda/alpha is 2.0016444736835948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29201890803930175 the lambda is 0.48683815279515563 the regulation term lambda/alpha is 1.667145994291691 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3121768667922027 the lambda is 0.4442513519958479 the regulation term lambda/alpha is 1.4230758241659183 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2793410686705932 the lambda is 0.4509476409811933 the regulation term lambda/alpha is 1.614326325617961 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24960280379815428 the lambda is 0.5319546031389628 the regulation term lambda/alpha is 2.131204437788036 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35752508890842927 the lambda is 0.5035941630157097 the regulation term lambda/alpha is 1.408556150711684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215833454830501 the lambda is 0.4764738168824553 the regulation term lambda/alpha is 1.4816495430344638 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.367137534081175 the lambda is 0.5895896178085177 the regulation term lambda/alpha is 1.605909402001262 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27249978059488644 the lambda is 0.5006874456096829 the regulation term lambda/alpha is 1.837386600886968 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32106286110338045 the lambda is 0.3943761380737556 the regulation term lambda/alpha is 1.228345554258201 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36030319536052835 the lambda is 0.5391970461502004 the regulation term lambda/alpha is 1.49650919862275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32685104492012207 the lambda is 0.4177329678618982 the regulation term lambda/alpha is 1.278053028602024 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4746129800509357 the lambda is 0.586556418979078 the regulation term lambda/alpha is 1.2358625735775883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.250078037611098 the lambda is 0.5217551859696572 the regulation term lambda/alpha is 2.0863694827174326 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.289207591326526 the lambda is 0.4857602728223051 the regulation term lambda/alpha is 1.6796249040152749 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3042361586100092 the lambda is 0.48649671319328536 the regulation term lambda/alpha is 1.5990759133167674 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3641185711697543 the lambda is 0.4997107842262444 the regulation term lambda/alpha is 1.3723847773567037 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.361088224334625 the lambda is 0.39949172776032077 the regulation term lambda/alpha is 1.1063549039752312 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3480031348257606 the lambda is 0.5468518601644111 the regulation term lambda/alpha is 1.5713992359241555 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36834741441683233 the lambda is 0.5261786051460506 the regulation term lambda/alpha is 1.4284845896885054 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26642381372139334 the lambda is 0.48235993285522466 the regulation term lambda/alpha is 1.8104985666170277 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3316402177113891 the lambda is 0.6243665091510179 the regulation term lambda/alpha is 1.8826622219093305 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3514564256486397 the lambda is 0.48714876801503015 the regulation term lambda/alpha is 1.386085820215009 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3246195865965656 the lambda is 0.5531804722835754 the regulation term lambda/alpha is 1.704088401083029 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27046210074425 the lambda is 0.407207410033756 the regulation term lambda/alpha is 1.5055987841298804 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4006544024676416 the lambda is 0.6264677613332191 the regulation term lambda/alpha is 1.5636113255583535 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36001629579311495 the lambda is 0.4357303707184266 the regulation term lambda/alpha is 1.2103073550004555 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22012457106099528 the lambda is 0.390032461333343 the regulation term lambda/alpha is 1.7718715337110968 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2774105196731988 the lambda is 0.5261806222566551 the regulation term lambda/alpha is 1.896757999215451 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3513143719151444 the lambda is 0.5102474703714377 the regulation term lambda/alpha is 1.452395663718197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42438746236224434 the lambda is 0.5213698240488882 the regulation term lambda/alpha is 1.228523154635192 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3072282340583352 the lambda is 0.543017637524755 the regulation term lambda/alpha is 1.767473094356455 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.321775811877815 the lambda is 0.5180007382732008 the regulation term lambda/alpha is 1.6098187593724307 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2885360133781892 the lambda is 0.5353905675710742 the regulation term lambda/alpha is 1.8555415710597223 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30407933472723697 the lambda is 0.4271679991262756 the regulation term lambda/alpha is 1.404791284187236 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909361086393575 the lambda is 0.4561093943609501 the regulation term lambda/alpha is 1.5677304425843557 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909208144158478 the lambda is 0.5521918081336356 the regulation term lambda/alpha is 1.8980828485662151 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2798623497947265 the lambda is 0.4720533258409668 the regulation term lambda/alpha is 1.6867339468392535 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39186585480221714 the lambda is 0.5079332370132239 the regulation term lambda/alpha is 1.2961916196285803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3645485333489362 the lambda is 0.6360036084563918 the regulation term lambda/alpha is 1.7446335680292697 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2787240207852332 the lambda is 0.48836172113638354 the regulation term lambda/alpha is 1.7521335970992027 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34044453624740334 the lambda is 0.5462108799919311 the regulation term lambda/alpha is 1.6044048937093116 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38214976997490935 the lambda is 0.4852368460065276 the regulation term lambda/alpha is 1.2697556930058773 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33053225819563764 the lambda is 0.5588695734613209 the regulation term lambda/alpha is 1.6908170370788242 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3257701235007334 the lambda is 0.5219257154792839 the regulation term lambda/alpha is 1.6021288566018819 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30409247885225793 the lambda is 0.4840938862315323 the regulation term lambda/alpha is 1.5919298236465997 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30184309168859486 the lambda is 0.5359510219118971 the regulation term lambda/alpha is 1.7755947930218874 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30427429356273805 the lambda is 0.5119363393659597 the regulation term lambda/alpha is 1.6824830430849527 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3269554378222396 the lambda is 0.5159691009290512 the regulation term lambda/alpha is 1.5781022159037321 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2876884626341041 the lambda is 0.39125675691648454 the regulation term lambda/alpha is 1.3600015563158108 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2688922625214771 the lambda is 0.48027545230877017 the regulation term lambda/alpha is 1.7861259666049685 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.40038640473912973 the lambda is 0.49052348534977075 the regulation term lambda/alpha is 1.2251252278892175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33995255075360875 the lambda is 0.5028920336365145 the regulation term lambda/alpha is 1.4793006627592602 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34008125245458337 the lambda is 0.46449131787039954 the regulation term lambda/alpha is 1.3658245331604413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2513445175839568 the lambda is 0.5081606938384607 the regulation term lambda/alpha is 2.021769556476279 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33472123002829735 the lambda is 0.4570304190630127 the regulation term lambda/alpha is 1.3654061292269253 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3561053177528324 the lambda is 0.5312326376085745 the regulation term lambda/alpha is 1.4917851858008353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3663268943939801 the lambda is 0.5758536212131151 the regulation term lambda/alpha is 1.5719665414295014 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29956488550950766 the lambda is 0.4609006922540606 the regulation term lambda/alpha is 1.5385671503859635 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3733029900491986 the lambda is 0.5476723845005053 the regulation term lambda/alpha is 1.4670988422255231 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35600853019048356 the lambda is 0.5209315952362008 the regulation term lambda/alpha is 1.4632559364728552 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4021761625442519 the lambda is 0.565777909152576 the regulation term lambda/alpha is 1.4067912567799759 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33312449602610167 the lambda is 0.5923071867596934 the regulation term lambda/alpha is 1.7780355207300147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2912805585815925 the lambda is 0.469884068923165 the regulation term lambda/alpha is 1.6131666020255266 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2540873828300812 the lambda is 0.3674634402087783 the regulation term lambda/alpha is 1.4462089227567683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3750816931204887 the lambda is 0.5388233009847746 the regulation term lambda/alpha is 1.4365491861307307 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3108393415091971 the lambda is 0.589869692891169 the regulation term lambda/alpha is 1.8976674253240107 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34284772072445535 the lambda is 0.5069738318784616 the regulation term lambda/alpha is 1.478714313186038 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33918662016156254 the lambda is 0.581700564946993 the regulation term lambda/alpha is 1.7149867664883578 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36131423373120575 the lambda is 0.5660642780632845 the regulation term lambda/alpha is 1.5666813682308445 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3919774205589814 the lambda is 0.5578083733962496 the regulation term lambda/alpha is 1.4230625136539348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32104642479335765 the lambda is 0.48871203582632533 the regulation term lambda/alpha is 1.5222472455218465 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3572339294459747 the lambda is 0.5249464682077495 the regulation term lambda/alpha is 1.4694753911586058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30107873743551045 the lambda is 0.46957026370310456 the regulation term lambda/alpha is 1.5596261220661063 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3421331232628933 the lambda is 0.47591233320292875 the regulation term lambda/alpha is 1.391015078178327 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3237590678923939 the lambda is 0.49261935071776375 the regulation term lambda/alpha is 1.5215615547839823 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3089549920646305 the lambda is 0.4825907404068056 the regulation term lambda/alpha is 1.562009848689715 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3270265769304817 the lambda is 0.5050920147632322 the regulation term lambda/alpha is 1.544498369227658 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2911385550295575 the lambda is 0.5388641802725904 the regulation term lambda/alpha is 1.85088567269245 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31141214151235214 the lambda is 0.6371425818098428 the regulation term lambda/alpha is 2.045978614435528 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36427602064541204 the lambda is 0.517073402218438 the regulation term lambda/alpha is 1.4194549542467954 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3185196657498412 the lambda is 0.49404772889490095 the regulation term lambda/alpha is 1.551074492470791 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3423661576254833 the lambda is 0.5218179277886787 the regulation term lambda/alpha is 1.5241516025059316 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2596646361124736 the lambda is 0.4833887160792936 the regulation term lambda/alpha is 1.8615885602146998 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3700422435627406 the lambda is 0.5851558233406393 the regulation term lambda/alpha is 1.5813216829159835 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2677956704588236 the lambda is 0.46256234957725545 the regulation term lambda/alpha is 1.7272958475569504 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27832417216032806 the lambda is 0.46465054133718153 the regulation term lambda/alpha is 1.6694580917302453 260 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34979289152482 the lambda is 0.5733972257792542 the regulation term lambda/alpha is 1.639247793972303 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41333142205580053 the lambda is 0.5244720797549094 the regulation term lambda/alpha is 1.2688899313445003 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27033431597863006 the lambda is 0.5140494697646011 the regulation term lambda/alpha is 1.9015324336597974 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34918191554707834 the lambda is 0.4639598474998532 the regulation term lambda/alpha is 1.328705258899068 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2676836258334316 the lambda is 0.43085043576220655 the regulation term lambda/alpha is 1.6095509556132017 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3297494947006156 the lambda is 0.514424565768464 the regulation term lambda/alpha is 1.5600465627264042 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.25107973087673646 the lambda is 0.4871539577730186 the regulation term lambda/alpha is 1.9402360997916595 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33619305337551814 the lambda is 0.48763278061818394 the regulation term lambda/alpha is 1.4504546590780147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35141713286569387 the lambda is 0.5134131775698201 the regulation term lambda/alpha is 1.4609793591538935 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3305465351675986 the lambda is 0.4913700192379888 the regulation term lambda/alpha is 1.48653810268756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4166415153897846 the lambda is 0.5409875627935309 the regulation term lambda/alpha is 1.2984485290368042 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25524574125077654 the lambda is 0.494265556840333 the regulation term lambda/alpha is 1.9364301806497988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3008004879574257 the lambda is 0.4048302384357039 the regulation term lambda/alpha is 1.3458430243404467 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34449317927312223 the lambda is 0.5740041408505749 the regulation term lambda/alpha is 1.6662278831230242 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3111429316023929 the lambda is 0.5912987252339459 the regulation term lambda/alpha is 1.9004086713098205 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29768997330738567 the lambda is 0.49822673974833914 the regulation term lambda/alpha is 1.6736429991677457 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27996376922089755 the lambda is 0.5616504795218933 the regulation term lambda/alpha is 2.0061541573214736 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4173726154367814 the lambda is 0.6155858573040796 the regulation term lambda/alpha is 1.4749071561867266 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33379804956921455 the lambda is 0.4540571108370563 the regulation term lambda/alpha is 1.3602749070075242 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3913285476527521 the lambda is 0.5461612235694774 the regulation term lambda/alpha is 1.3956590359825143 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36766894142548573 the lambda is 0.5124273520290769 the regulation term lambda/alpha is 1.3937194423938821 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33395291838779695 the lambda is 0.5327101928867187 the regulation term lambda/alpha is 1.5951655564456495 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25583343873444825 the lambda is 0.5258504183191124 the regulation term lambda/alpha is 2.055440527713573 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30745689484128574 the lambda is 0.40157272468172583 the regulation term lambda/alpha is 1.3061106497189605 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32507031160220823 the lambda is 0.4127911917281814 the regulation term lambda/alpha is 1.269852019686492 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.41304796905646707 the lambda is 0.5529027553650839 the regulation term lambda/alpha is 1.3385921171046784 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28688067910745596 the lambda is 0.4736149175302043 the regulation term lambda/alpha is 1.65091256407966 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2576527594802697 the lambda is 0.5542351580201342 the regulation term lambda/alpha is 2.15109342953719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3391114917520621 the lambda is 0.5200801231876557 the regulation term lambda/alpha is 1.5336552604000426 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3137758301235071 the lambda is 0.4211069902752116 the regulation term lambda/alpha is 1.3420631860314327 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2584732517925856 the lambda is 0.4361221204346976 the regulation term lambda/alpha is 1.6873007841626415 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2950003082798512 the lambda is 0.46743592038144216 the regulation term lambda/alpha is 1.5845268878092509 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27901231997618736 the lambda is 0.4644213273648619 the regulation term lambda/alpha is 1.6645190699984092 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29302963055873515 the lambda is 0.41096793947755483 the regulation term lambda/alpha is 1.4024791236774945 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31390373879244465 the lambda is 0.5912633936554674 the regulation term lambda/alpha is 1.8835818774570727 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3074731079769864 the lambda is 0.47778522876173996 the regulation term lambda/alpha is 1.5539089968072948 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24455609998591674 the lambda is 0.44959400111341485 the regulation term lambda/alpha is 1.8384084516366823 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2685997996655394 the lambda is 0.4904919225130319 the regulation term lambda/alpha is 1.826106806943984 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2718667980061553 the lambda is 0.43534844723554766 the regulation term lambda/alpha is 1.6013299543318673 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.22513909913321875 the lambda is 0.44879552029221137 the regulation term lambda/alpha is 1.9934143914587275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2844393269050091 the lambda is 0.5026765710682339 the regulation term lambda/alpha is 1.767254115448343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28136676756993134 the lambda is 0.5480299926671811 the regulation term lambda/alpha is 1.9477424338358398 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.277996219794938 the lambda is 0.4487869206899952 the regulation term lambda/alpha is 1.6143633932182235 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27727590169296856 the lambda is 0.5526006359594675 the regulation term lambda/alpha is 1.9929630832879586 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26313093847743263 the lambda is 0.4727807622353191 the regulation term lambda/alpha is 1.796750944495518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2964860942621981 the lambda is 0.5924059133360748 the regulation term lambda/alpha is 1.9980900446959224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3003727907329487 the lambda is 0.48792245240182275 the regulation term lambda/alpha is 1.6243896499787096 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3234259355444011 the lambda is 0.4861757306280786 the regulation term lambda/alpha is 1.5032057642802572 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3480882410681945 the lambda is 0.6713746590387412 the regulation term lambda/alpha is 1.9287484603859717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3888478593648942 the lambda is 0.5488321067125229 the regulation term lambda/alpha is 1.4114314724759736 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.47479751069721016 the lambda is 0.5735464031440222 the regulation term lambda/alpha is 1.207981066079739 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3280263265544581 the lambda is 0.4647120390149994 the regulation term lambda/alpha is 1.4166912878495717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3527310125878022 the lambda is 0.49135825243367304 the regulation term lambda/alpha is 1.3930112037181974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3167338625517163 the lambda is 0.4699007431283202 the regulation term lambda/alpha is 1.4835822710670692 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3063658750823264 the lambda is 0.4337603940099982 the regulation term lambda/alpha is 1.4158247679949292 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34141263270771993 the lambda is 0.4743561301891577 the regulation term lambda/alpha is 1.3893924381973568 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29521054891390347 the lambda is 0.47342166979973144 the regulation term lambda/alpha is 1.6036746367684924 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3536982943920497 the lambda is 0.48957986425555944 the regulation term lambda/alpha is 1.3841736644420868 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29816513648887366 the lambda is 0.49158895177469986 the regulation term lambda/alpha is 1.6487137214080159 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3610382964544112 the lambda is 0.4773015142483774 the regulation term lambda/alpha is 1.3220246132771316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33484418021658074 the lambda is 0.5145324374241503 the regulation term lambda/alpha is 1.5366324631694221 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.26970700535022096 the lambda is 0.4676222141716 the regulation term lambda/alpha is 1.7338156032112753 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35755890134039614 the lambda is 0.525278502370655 the regulation term lambda/alpha is 1.4690684539009413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31521112765536563 the lambda is 0.570756845540516 the regulation term lambda/alpha is 1.810712869770733 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3340597017734183 the lambda is 0.5181823814006967 the regulation term lambda/alpha is 1.5511669879660095 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3426603373641706 the lambda is 0.42084482992580013 the regulation term lambda/alpha is 1.2281690760099178 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35751683006015295 the lambda is 0.47621203454407446 the regulation term lambda/alpha is 1.3319989284531046 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27031682655784095 the lambda is 0.5240867530867709 the regulation term lambda/alpha is 1.9387870143356747 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.27292167583218735 the lambda is 0.4626998145185879 the regulation term lambda/alpha is 1.6953575164293302 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.352334603122578 the lambda is 0.46437584247075503 the regulation term lambda/alpha is 1.3179966950597741 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36460308408310316 the lambda is 0.47585731252895225 the regulation term lambda/alpha is 1.3051379247809411 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33895597414561013 the lambda is 0.5474242309970395 the regulation term lambda/alpha is 1.615030484052996 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4082762468953094 the lambda is 0.5549767936809819 the regulation term lambda/alpha is 1.359316878954483 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29999057474535207 the lambda is 0.5037347712752543 the regulation term lambda/alpha is 1.679168659558225 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42480649264092285 the lambda is 0.5529296997063513 the regulation term lambda/alpha is 1.3016036931754889 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24895246118730724 the lambda is 0.4724242839939624 the regulation term lambda/alpha is 1.8976485781296177 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2024976020187246 the lambda is 0.44599332060659547 the regulation term lambda/alpha is 2.2024622324434007 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.32587030306585757 the lambda is 0.48061952806886155 the regulation term lambda/alpha is 1.4748798020166003 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26812564374422515 the lambda is 0.431725301524906 the regulation term lambda/alpha is 1.6101604288799192 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3109387458868938 the lambda is 0.54585127878233 the regulation term lambda/alpha is 1.7554945660612116 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3373022134899871 the lambda is 0.5030723106727143 the regulation term lambda/alpha is 1.4914586698603094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35523408977996906 the lambda is 0.536484675218872 the regulation term lambda/alpha is 1.5102285806837092 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31102501887020634 the lambda is 0.4689792021684211 the regulation term lambda/alpha is 1.5078504098222738 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3439287740838169 the lambda is 0.5301380699095137 the regulation term lambda/alpha is 1.54141819428088 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2561032840269559 the lambda is 0.44404184922744616 the regulation term lambda/alpha is 1.7338389506192702 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2880001869608369 the lambda is 0.42367292670053336 the regulation term lambda/alpha is 1.471085596059511 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3957232555854647 the lambda is 0.5604966159216743 the regulation term lambda/alpha is 1.4163853349796962 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35063850849924616 the lambda is 0.45560230850005756 the regulation term lambda/alpha is 1.2993504633876718 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3095954539543113 the lambda is 0.4574588511029053 the regulation term lambda/alpha is 1.4776019649513814 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40345900578545085 the lambda is 0.48738463949255706 the regulation term lambda/alpha is 1.2080152692185429 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3360629766830536 the lambda is 0.47979571199927207 the regulation term lambda/alpha is 1.4276958346761746 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4309440801719286 the lambda is 0.5501590941353242 the regulation term lambda/alpha is 1.2766368525490217 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3141962971427299 the lambda is 0.5294308819220856 the regulation term lambda/alpha is 1.6850322130995108 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3323932155242088 the lambda is 0.5365056763773242 the regulation term lambda/alpha is 1.6140692749435779 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3298193569363605 the lambda is 0.4653642294043189 the regulation term lambda/alpha is 1.410967002443438 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27390447480159325 the lambda is 0.4553272420400343 the regulation term lambda/alpha is 1.662357806931987 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3154090491721413 the lambda is 0.5251095587853764 the regulation term lambda/alpha is 1.6648525467599582 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3546450493131348 the lambda is 0.6297316406562234 the regulation term lambda/alpha is 1.7756673662183289 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33110974386045083 the lambda is 0.506266558714903 the regulation term lambda/alpha is 1.5289992762287103 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2441962067268288 the lambda is 0.5098583937565504 the regulation term lambda/alpha is 2.087904642707681 270 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3050272662280192 the lambda is 0.5267080414284774 the regulation term lambda/alpha is 1.726757243513908 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3529478638702772 the lambda is 0.4730955251149328 the regulation term lambda/alpha is 1.3404119235265148 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3019369877428759 the lambda is 0.536684273384958 the regulation term lambda/alpha is 1.7774711120917344 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33436596542010805 the lambda is 0.4019359586712291 the regulation term lambda/alpha is 1.202083944656939 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38999899050014225 the lambda is 0.4783755286675558 the regulation term lambda/alpha is 1.2266070946852394 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32896159631996863 the lambda is 0.4604175250425903 the regulation term lambda/alpha is 1.3996087391148218 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2937056278285821 the lambda is 0.5293919026237459 the regulation term lambda/alpha is 1.802457469193336 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3319486407859377 the lambda is 0.5379814954241381 the regulation term lambda/alpha is 1.6206769039643814 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35877356912554836 the lambda is 0.4840537479256023 the regulation term lambda/alpha is 1.3491901008912217 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.346286588090939 the lambda is 0.5146306362847597 the regulation term lambda/alpha is 1.4861408266542842 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3881439428713797 the lambda is 0.5031383797308369 the regulation term lambda/alpha is 1.2962675032586124 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34545823772860673 the lambda is 0.45202814316364615 the regulation term lambda/alpha is 1.3084885343471275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29172158711475377 the lambda is 0.6141060183345879 the regulation term lambda/alpha is 2.105109959150944 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3285470839167197 the lambda is 0.5804732284252038 the regulation term lambda/alpha is 1.7667885573817554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31942318633084893 the lambda is 0.4487917854173503 the regulation term lambda/alpha is 1.4050069144088535 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.323627326076822 the lambda is 0.468011077399832 the regulation term lambda/alpha is 1.4461420272302237 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3212847895607666 the lambda is 0.4791419600957622 the regulation term lambda/alpha is 1.4913309800653949 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34206048238166337 the lambda is 0.5141226372721998 the regulation term lambda/alpha is 1.5030167580087586 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34920314292854376 the lambda is 0.5624840597596032 the regulation term lambda/alpha is 1.6107645969117248 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39518954907830406 the lambda is 0.5730816974608632 the regulation term lambda/alpha is 1.4501438583015542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33424924319268057 the lambda is 0.5484638954753798 the regulation term lambda/alpha is 1.640882983717673 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3071277896187652 the lambda is 0.4574685149472835 the regulation term lambda/alpha is 1.4895054449977805 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3203338302585985 the lambda is 0.46336230162791653 the regulation term lambda/alpha is 1.4464981773977923 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32036769613218996 the lambda is 0.48900811459061394 the regulation term lambda/alpha is 1.5263964516223871 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3139892077609638 the lambda is 0.46792616401733195 the regulation term lambda/alpha is 1.4902619340138548 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3583177037945736 the lambda is 0.6196772098318677 the regulation term lambda/alpha is 1.7294071804700266 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28987548295639487 the lambda is 0.42242136252929713 the regulation term lambda/alpha is 1.4572510866427457 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23371569003124937 the lambda is 0.44737308926030234 the regulation term lambda/alpha is 1.914176533036723 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28979620603234363 the lambda is 0.4927889006608746 the regulation term lambda/alpha is 1.7004670537538897 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2914678925401712 the lambda is 0.4481025977338919 the regulation term lambda/alpha is 1.5373995187896474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35443643348283105 the lambda is 0.5208401862622393 the regulation term lambda/alpha is 1.4694882835386303 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3647664754575794 the lambda is 0.5053252123744566 the regulation term lambda/alpha is 1.3853389671859346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2914683042632205 the lambda is 0.5613872439248874 the regulation term lambda/alpha is 1.9260661818580014 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2525857653521968 the lambda is 0.4237720706396622 the regulation term lambda/alpha is 1.6777353626748095 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34871825779701277 the lambda is 0.4515244827321423 the regulation term lambda/alpha is 1.2948117072636114 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.323454085117 the lambda is 0.4927228816421131 the regulation term lambda/alpha is 1.5233163045811744 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2981012935422062 the lambda is 0.4751625448249516 the regulation term lambda/alpha is 1.5939633779471556 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3230592567059959 the lambda is 0.5042660278786938 the regulation term lambda/alpha is 1.5609087726515987 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37330535464870535 the lambda is 0.4986691427304826 the regulation term lambda/alpha is 1.3358210283368406 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2821759320118392 the lambda is 0.5417148010824201 the regulation term lambda/alpha is 1.9197767762124072 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2659673928221223 the lambda is 0.5582415141308347 the regulation term lambda/alpha is 2.098909600186155 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.384483608160882 the lambda is 0.5106094455472774 the regulation term lambda/alpha is 1.328039569722358 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3366113957289845 the lambda is 0.5073704728784584 the regulation term lambda/alpha is 1.5072884617577145 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28900542913692623 the lambda is 0.4427181937648972 the regulation term lambda/alpha is 1.5318680866550236 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30160243863440905 the lambda is 0.47227869236861253 the regulation term lambda/alpha is 1.5658981223991053 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3992954288268366 the lambda is 0.5362432821018168 the regulation term lambda/alpha is 1.342973756742832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34520896174764615 the lambda is 0.5608990916668409 the regulation term lambda/alpha is 1.6248103433562309 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31928218669692165 the lambda is 0.495886608459888 the regulation term lambda/alpha is 1.5531295797927116 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2816211832149904 the lambda is 0.5003883435275682 the regulation term lambda/alpha is 1.7768135827537175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37731016136616846 the lambda is 0.5211046528470127 the regulation term lambda/alpha is 1.3811042113474805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41973007631995163 the lambda is 0.5946516035349902 the regulation term lambda/alpha is 1.4167476601836355 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35392152313399966 the lambda is 0.49586107447052374 the regulation term lambda/alpha is 1.401048091338553 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3557558046058796 the lambda is 0.4800492684348082 the regulation term lambda/alpha is 1.349378596834494 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2881242522034903 the lambda is 0.612683082597201 the regulation term lambda/alpha is 2.126454395669852 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3300516886897143 the lambda is 0.44135159014264297 the regulation term lambda/alpha is 1.3372196091308688 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43173272401146673 the lambda is 0.5967977019541502 the regulation term lambda/alpha is 1.3823314026534141 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4183394492098452 the lambda is 0.523189941172538 the regulation term lambda/alpha is 1.2506349620164514 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.37842430477847977 the lambda is 0.426359076144058 the regulation term lambda/alpha is 1.1266693781564534 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3092415944696962 the lambda is 0.38707669200519085 the regulation term lambda/alpha is 1.2516967281486515 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3161146110220479 the lambda is 0.5018776309774443 the regulation term lambda/alpha is 1.5876445234682306 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32093599932288264 the lambda is 0.5301298833539236 the regulation term lambda/alpha is 1.651824302890304 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3280174868533748 the lambda is 0.4954458537044822 the regulation term lambda/alpha is 1.5104251253712841 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36204258502596165 the lambda is 0.5797629359739643 the regulation term lambda/alpha is 1.6013666898671333 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3138916160225229 the lambda is 0.5832667403892046 the regulation term lambda/alpha is 1.8581787808800634 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3037398180876831 the lambda is 0.47360782299330717 the regulation term lambda/alpha is 1.5592549767597046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3039365019104401 the lambda is 0.529679313328866 the regulation term lambda/alpha is 1.7427301755448403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3490968189192555 the lambda is 0.5588055426685585 the regulation term lambda/alpha is 1.6007179452351519 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3549640511756352 the lambda is 0.3876930995305071 the regulation term lambda/alpha is 1.092203839364786 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26074014256069733 the lambda is 0.43429585412012556 the regulation term lambda/alpha is 1.6656271253630477 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.286736195719623 the lambda is 0.46923070983063314 the regulation term lambda/alpha is 1.6364544024621759 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29314566838367 the lambda is 0.5570183074527673 the regulation term lambda/alpha is 1.9001416958470623 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2893706988360715 the lambda is 0.5088803692028839 the regulation term lambda/alpha is 1.7585760108046207 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37800009398243595 the lambda is 0.5293497722707097 the regulation term lambda/alpha is 1.4003958747568626 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42718689367541934 the lambda is 0.485882590226099 the regulation term lambda/alpha is 1.1374005088163524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3363924580284171 the lambda is 0.5358548092273991 the regulation term lambda/alpha is 1.5929453721050197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26729266895293197 the lambda is 0.3869772461484445 the regulation term lambda/alpha is 1.4477660298890875 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.338605529561756 the lambda is 0.6066278073334299 the regulation term lambda/alpha is 1.7915472559428216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33577724954064386 the lambda is 0.5734957807779386 the regulation term lambda/alpha is 1.7079649725003787 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3165504018069476 the lambda is 0.510031158371031 the regulation term lambda/alpha is 1.6112162722259948 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3212599558571548 the lambda is 0.402593159854093 the regulation term lambda/alpha is 1.2531694427334799 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2933020232982832 the lambda is 0.5031564141470997 the regulation term lambda/alpha is 1.7154890664882938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3132667445271097 the lambda is 0.45155290789052216 the regulation term lambda/alpha is 1.4414326313894623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3760152517938731 the lambda is 0.5761834041319811 the regulation term lambda/alpha is 1.5323405138040458 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31570431238861146 the lambda is 0.5496874844140569 the regulation term lambda/alpha is 1.7411465819238712 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35490326975059916 the lambda is 0.5527136091996157 the regulation term lambda/alpha is 1.5573640941319689 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3209217815616348 the lambda is 0.49607402350843016 the regulation term lambda/alpha is 1.545778604040176 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2877957579579123 the lambda is 0.41818635892699807 the regulation term lambda/alpha is 1.4530664450869157 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3174796727620904 the lambda is 0.5673868646344113 the regulation term lambda/alpha is 1.7871596619024923 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28732626168592174 the lambda is 0.4796146971728414 the regulation term lambda/alpha is 1.6692337635921057 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3750896085182672 the lambda is 0.5458462367974267 the regulation term lambda/alpha is 1.4552422258609266 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33095852518189295 the lambda is 0.48211221295118156 the regulation term lambda/alpha is 1.4567148940678152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3861643598577031 the lambda is 0.5694259648418193 the regulation term lambda/alpha is 1.4745689246196771 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29311690516892397 the lambda is 0.43397131207833944 the regulation term lambda/alpha is 1.4805400317263884 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3543937364689201 the lambda is 0.45837756265565666 the regulation term lambda/alpha is 1.2934132731091759 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3382991054496797 the lambda is 0.46447867918646263 the regulation term lambda/alpha is 1.3729822861017038 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4263714568994198 the lambda is 0.5566535921547252 the regulation term lambda/alpha is 1.305560170942772 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38021537266522387 the lambda is 0.5062328013782301 the regulation term lambda/alpha is 1.3314369638177765 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29511154686731494 the lambda is 0.44702744565873875 the regulation term lambda/alpha is 1.5147744993513477 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28247055403563054 the lambda is 0.4158650356823565 the regulation term lambda/alpha is 1.4722420788324 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30481141074245466 the lambda is 0.5594817098253857 the regulation term lambda/alpha is 1.8355011987989862 280 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3159665993435503 the lambda is 0.5303971976149672 the regulation term lambda/alpha is 1.678649574723772 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29764575090444645 the lambda is 0.47974156423770264 the regulation term lambda/alpha is 1.6117870414072015 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37409424978692934 the lambda is 0.5876934374380376 the regulation term lambda/alpha is 1.5709769336811958 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3189711216697099 the lambda is 0.4714834842273297 the regulation term lambda/alpha is 1.478138465197938 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3077399039590204 the lambda is 0.5287373341414988 the regulation term lambda/alpha is 1.7181305620083223 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3041735077869269 the lambda is 0.4617043532208889 the regulation term lambda/alpha is 1.5178979805970219 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2875455617284616 the lambda is 0.46157767089323964 the regulation term lambda/alpha is 1.6052331606812353 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3830997235335252 the lambda is 0.5347150584798693 the regulation term lambda/alpha is 1.3957594475608548 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2976570375806464 the lambda is 0.4409079896814413 the regulation term lambda/alpha is 1.4812617677886515 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3104643270109803 the lambda is 0.42851692707740063 the regulation term lambda/alpha is 1.3802452964660417 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32444103443453076 the lambda is 0.48991183105594377 the regulation term lambda/alpha is 1.5100180897580127 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30286799392333424 the lambda is 0.47123074980475255 the regulation term lambda/alpha is 1.55589484283386 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25538338714474795 the lambda is 0.4897924508548429 the regulation term lambda/alpha is 1.9178712301173881 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23439151632549177 the lambda is 0.41671493573109586 the regulation term lambda/alpha is 1.777858440714286 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3349590452061852 the lambda is 0.4798966416704945 the regulation term lambda/alpha is 1.4327024409061486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3532130439617827 the lambda is 0.5459930638662003 the regulation term lambda/alpha is 1.5457896394258763 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28150826653882016 the lambda is 0.49130467697694385 the regulation term lambda/alpha is 1.7452584359869683 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35436976847414475 the lambda is 0.46167711894285485 the regulation term lambda/alpha is 1.3028118084981037 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2187643725708243 the lambda is 0.45930110662301427 the regulation term lambda/alpha is 2.0995242562831704 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24118932105164065 the lambda is 0.4463950818298606 the regulation term lambda/alpha is 1.8508078213557544 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3156439131663962 the lambda is 0.42762906973188447 the regulation term lambda/alpha is 1.3547831968058694 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2826720981841717 the lambda is 0.41907631180399924 the regulation term lambda/alpha is 1.4825528041007958 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3104768693463737 the lambda is 0.5339824328424637 the regulation term lambda/alpha is 1.7198783083796916 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33998798972674626 the lambda is 0.600151560807648 the regulation term lambda/alpha is 1.765214004441743 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3595785970761317 the lambda is 0.5555978086010676 the regulation term lambda/alpha is 1.5451359261058402 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2862300521148711 the lambda is 0.48117090705828514 the regulation term lambda/alpha is 1.681063548369755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34725765238058975 the lambda is 0.5010149442444567 the regulation term lambda/alpha is 1.4427758202297325 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33194375585462543 the lambda is 0.48292964758107965 the regulation term lambda/alpha is 1.4548538391322485 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32981438610060754 the lambda is 0.48169568231595844 the regulation term lambda/alpha is 1.4605053709483145 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37423632497139253 the lambda is 0.5387416470795577 the regulation term lambda/alpha is 1.4395760409434877 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.400627481358649 the lambda is 0.5594086612831078 the regulation term lambda/alpha is 1.3963312236743814 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35168351527302527 the lambda is 0.5231921097289249 the regulation term lambda/alpha is 1.4876787992827898 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3596315583296212 the lambda is 0.5680854413679198 the regulation term lambda/alpha is 1.579631787617592 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3468689111375265 the lambda is 0.5284045617146259 the regulation term lambda/alpha is 1.523355206385516 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23754449756059606 the lambda is 0.3728001923653955 the regulation term lambda/alpha is 1.5693909822949976 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34337633127816036 the lambda is 0.5506944262045473 the regulation term lambda/alpha is 1.6037634980683741 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.264952103006135 the lambda is 0.4240968574211468 the regulation term lambda/alpha is 1.600654807451469 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3000459829556937 the lambda is 0.4048514653534728 the regulation term lambda/alpha is 1.3492980688005252 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3870370868569661 the lambda is 0.557258094708432 the regulation term lambda/alpha is 1.4398054182191926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3898598078888122 the lambda is 0.5427054459842691 the regulation term lambda/alpha is 1.3920528225855187 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3468460353709923 the lambda is 0.5123851752966849 the regulation term lambda/alpha is 1.477269805747179 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30134705774958287 the lambda is 0.5808842482833767 the regulation term lambda/alpha is 1.927625418417349 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.268841596733665 the lambda is 0.44799786215817294 the regulation term lambda/alpha is 1.666400838267576 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26628147081861536 the lambda is 0.5235124646912257 the regulation term lambda/alpha is 1.96601161576064 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3343154647497213 the lambda is 0.47886656742178474 the regulation term lambda/alpha is 1.43237934799181 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3170738720193529 the lambda is 0.4539686515587047 the regulation term lambda/alpha is 1.431744119020303 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25467530173182995 the lambda is 0.44077026243966927 the regulation term lambda/alpha is 1.730714597930643 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2423131573480636 the lambda is 0.4472463497399775 the regulation term lambda/alpha is 1.8457369572282187 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3076959653788591 the lambda is 0.4652950594178516 the regulation term lambda/alpha is 1.5121909669661877 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3481978408958266 the lambda is 0.5266235348680404 the regulation term lambda/alpha is 1.5124261928596936 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30649566748825335 the lambda is 0.5512340121641266 the regulation term lambda/alpha is 1.7985050708269898 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3339915061460464 the lambda is 0.46134573970774284 the regulation term lambda/alpha is 1.3813097974593627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32959299628438965 the lambda is 0.5688850637387741 the regulation term lambda/alpha is 1.7260229135691678 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2855717584191414 the lambda is 0.5576220205811968 the regulation term lambda/alpha is 1.9526511433345586 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26783666181029164 the lambda is 0.49665198452938236 the regulation term lambda/alpha is 1.8543091941653616 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3345743416606515 the lambda is 0.4779356129668695 the regulation term lambda/alpha is 1.4284885403783443 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3128390254948413 the lambda is 0.5091665769183416 the regulation term lambda/alpha is 1.6275673283183067 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3173389320665468 the lambda is 0.581645555102095 the regulation term lambda/alpha is 1.832884327536977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2619845474058545 the lambda is 0.508580973463478 the regulation term lambda/alpha is 1.9412632481548906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30599363931169427 the lambda is 0.490429977499293 the regulation term lambda/alpha is 1.6027456603427184 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3099593628485178 the lambda is 0.5455693513700256 the regulation term lambda/alpha is 1.7601318648878956 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2532726199902247 the lambda is 0.4764227780178297 the regulation term lambda/alpha is 1.8810670416573954 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33596297617421456 the lambda is 0.46871828891443706 the regulation term lambda/alpha is 1.3951486388529368 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23935389553206626 the lambda is 0.5173157919935577 the regulation term lambda/alpha is 2.1613009090309663 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31025590344281423 the lambda is 0.5369468164903597 the regulation term lambda/alpha is 1.7306578554413508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2846246688082985 the lambda is 0.5307720093456844 the regulation term lambda/alpha is 1.8648137969487526 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30507053995988914 the lambda is 0.5942128314815772 the regulation term lambda/alpha is 1.9477883100731546 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3011652676994584 the lambda is 0.560914576097447 the regulation term lambda/alpha is 1.8624809573234056 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37138853054240006 the lambda is 0.45833291292880707 the regulation term lambda/alpha is 1.2341062667159586 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33610232922024386 the lambda is 0.46392513349875525 the regulation term lambda/alpha is 1.3803091890944637 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3624735256447128 the lambda is 0.4394770968586244 the regulation term lambda/alpha is 1.212439159734354 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24773796272628693 the lambda is 0.49840007067245007 the regulation term lambda/alpha is 2.0118033796181125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.402477768251649 the lambda is 0.5713698841938286 the regulation term lambda/alpha is 1.4196309194315049 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2514139436489647 the lambda is 0.6060431945956375 the regulation term lambda/alpha is 2.4105393113829114 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.310151269083148 the lambda is 0.4903801980436341 the regulation term lambda/alpha is 1.5811000854301478 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31414944904778774 the lambda is 0.4030905571757137 the regulation term lambda/alpha is 1.2831171864140256 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2939713433319792 the lambda is 0.4970285650177973 the regulation term lambda/alpha is 1.6907381494546132 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2998623618099627 the lambda is 0.5196483803966419 the regulation term lambda/alpha is 1.7329563379013477 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35810914428223184 the lambda is 0.5596301472749351 the regulation term lambda/alpha is 1.5627362668904126 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4319394286320562 the lambda is 0.47414960728663047 the regulation term lambda/alpha is 1.0977224486966912 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3283784662017423 the lambda is 0.5186599324757065 the regulation term lambda/alpha is 1.5794578081653594 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2932652873775557 the lambda is 0.4730504767277586 the regulation term lambda/alpha is 1.613046265918079 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3486976302901364 the lambda is 0.5937413978469445 the regulation term lambda/alpha is 1.7027399852213438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40873226492191345 the lambda is 0.570675342679745 the regulation term lambda/alpha is 1.396208206828913 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26836641082767376 the lambda is 0.47023938792707914 the regulation term lambda/alpha is 1.752228926402545 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32492132299367454 the lambda is 0.4785105307493508 the regulation term lambda/alpha is 1.4726966095686687 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29785121051145313 the lambda is 0.426551772292079 the regulation term lambda/alpha is 1.4320968229728817 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2803565036788342 the lambda is 0.5131785190192676 the regulation term lambda/alpha is 1.8304498461257224 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3687030870992876 the lambda is 0.500667222295289 the regulation term lambda/alpha is 1.3579143755866219 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3568214585918025 the lambda is 0.494091441765312 the regulation term lambda/alpha is 1.3847021524861374 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2861807168385384 the lambda is 0.4788285558462165 the regulation term lambda/alpha is 1.6731684829637523 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2537962899689675 the lambda is 0.4262912656218636 the regulation term lambda/alpha is 1.6796591694621996 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32658274923913927 the lambda is 0.4313308970577467 the regulation term lambda/alpha is 1.3207399902862165 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40734916572775637 the lambda is 0.6008577360881131 the regulation term lambda/alpha is 1.4750434925149307 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2794977081557483 the lambda is 0.4283717124922377 the regulation term lambda/alpha is 1.5326483902813626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2940855886692214 the lambda is 0.4741921652876498 the regulation term lambda/alpha is 1.6124291143725742 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26285802657031965 the lambda is 0.47640272986640564 the regulation term lambda/alpha is 1.812395596521602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2909070521000697 the lambda is 0.5752101912438081 the regulation term lambda/alpha is 1.9772988901140165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2899384651387788 the lambda is 0.5530515426623828 the regulation term lambda/alpha is 1.9074790314478112 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3243691489098803 the lambda is 0.46584076155486465 the regulation term lambda/alpha is 1.4361438599214302 290 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37829734551780936 the lambda is 0.5112696505265896 the regulation term lambda/alpha is 1.3515020831742004 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3065384245245957 the lambda is 0.4972626371885266 the regulation term lambda/alpha is 1.622186967130536 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31045748878227153 the lambda is 0.39384985602884015 the regulation term lambda/alpha is 1.268611227816292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.274574106315981 the lambda is 0.47467360551861665 the regulation term lambda/alpha is 1.728763181231519 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3874386322790235 the lambda is 0.5134598266109924 the regulation term lambda/alpha is 1.325267497437405 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31458020845937257 the lambda is 0.47528416101076326 the regulation term lambda/alpha is 1.5108520759726858 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26770689279840526 the lambda is 0.4880780562625254 the regulation term lambda/alpha is 1.8231807599741894 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2949241137100199 the lambda is 0.4431054176747496 the regulation term lambda/alpha is 1.5024387531445695 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2840663959486325 the lambda is 0.47182249631857887 the regulation term lambda/alpha is 1.6609585049401556 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40217285839035827 the lambda is 0.5834608858292465 the regulation term lambda/alpha is 1.450771412482853 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.306608786052108 the lambda is 0.5143075206838135 the regulation term lambda/alpha is 1.6774063369351953 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4435530683776559 the lambda is 0.5100289977197177 the regulation term lambda/alpha is 1.149871422567777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2867558096109687 the lambda is 0.4985312172259189 the regulation term lambda/alpha is 1.7385217684072671 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2881641105217642 the lambda is 0.4813506922560572 the regulation term lambda/alpha is 1.6704047266139417 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4478641640646076 the lambda is 0.5433103944195778 the regulation term lambda/alpha is 1.2131142386761746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3145113082941538 the lambda is 0.5051556802764359 the regulation term lambda/alpha is 1.606160627470913 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2785627213611245 the lambda is 0.445683018899394 the regulation term lambda/alpha is 1.5999377688503311 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32738743254227654 the lambda is 0.5190448149566301 the regulation term lambda/alpha is 1.5854145986181198 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.34080975667964303 the lambda is 0.45275661801771033 the regulation term lambda/alpha is 1.3284731705709234 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37107353836548185 the lambda is 0.5664586960318347 the regulation term lambda/alpha is 1.5265402607984189 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246606071352496 the lambda is 0.4397322119272279 the regulation term lambda/alpha is 1.3544366093791012 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.276686130063351 the lambda is 0.47151196315273397 the regulation term lambda/alpha is 1.7041402221527149 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22560828242542402 the lambda is 0.39419041722569675 the regulation term lambda/alpha is 1.7472338027128878 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27175223976120233 the lambda is 0.500054587278575 the regulation term lambda/alpha is 1.8401121099056608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3374647806573763 the lambda is 0.5514666698491371 the regulation term lambda/alpha is 1.6341458470862895 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29826860606791133 the lambda is 0.524098789830365 the regulation term lambda/alpha is 1.757136953632443 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.336079489262589 the lambda is 0.42785603872156297 the regulation term lambda/alpha is 1.2730798885119292 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.357395769821595 the lambda is 0.5100356025588721 the regulation term lambda/alpha is 1.4270890861788095 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3483951099264505 the lambda is 0.5286772341478326 the regulation term lambda/alpha is 1.517464565617587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196367472587794 the lambda is 0.4734575370153172 the regulation term lambda/alpha is 1.4812362504490253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25817601893577047 the lambda is 0.5744824592159912 the regulation term lambda/alpha is 2.2251580978902306 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.338009320839519 the lambda is 0.4540475911564827 the regulation term lambda/alpha is 1.3432990250942123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4499541245363494 the lambda is 0.5711486611916932 the regulation term lambda/alpha is 1.269348651443583 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4154123715499529 the lambda is 0.5445731380819507 the regulation term lambda/alpha is 1.3109218101764366 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28936134249118256 the lambda is 0.4440499770831415 the regulation term lambda/alpha is 1.5345863869036778 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2655582458964943 the lambda is 0.49240108586793785 the regulation term lambda/alpha is 1.85421124546763 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30156655844331715 the lambda is 0.5200748433620008 the regulation term lambda/alpha is 1.7245773073998016 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.395396102889468 the lambda is 0.548922728961356 the regulation term lambda/alpha is 1.3882856329385875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.284335838451521 the lambda is 0.5199742985159923 the regulation term lambda/alpha is 1.8287328862508039 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2887516562895786 the lambda is 0.46567694121887526 the regulation term lambda/alpha is 1.6127247448647175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2744816023054625 the lambda is 0.44856396901363804 the regulation term lambda/alpha is 1.6342223494981074 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3218214094599915 the lambda is 0.5709428775785459 the regulation term lambda/alpha is 1.7740984931256567 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.301822457625311 the lambda is 0.480680936112775 the regulation term lambda/alpha is 1.5925949973858566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3035479039254963 the lambda is 0.4860097781142594 the regulation term lambda/alpha is 1.601097460496868 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33690872208937356 the lambda is 0.5584135524561293 the regulation term lambda/alpha is 1.657462439657457 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32835168257359304 the lambda is 0.4772109805810206 the regulation term lambda/alpha is 1.453353236507518 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23313243478840837 the lambda is 0.4368080741734268 the regulation term lambda/alpha is 1.8736478026743684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32061656510085224 the lambda is 0.5776417031557806 the regulation term lambda/alpha is 1.801658947266431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2755294025341728 the lambda is 0.5401893802546893 the regulation term lambda/alpha is 1.9605507625912695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3468511221235314 the lambda is 0.5755173622927638 the regulation term lambda/alpha is 1.6592633714697704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4015402354728856 the lambda is 0.5587780134800236 the regulation term lambda/alpha is 1.3915866060644269 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33718815856139767 the lambda is 0.5414821703247684 the regulation term lambda/alpha is 1.6058754039138994 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2677447451989515 the lambda is 0.45706508239091126 the regulation term lambda/alpha is 1.7070926342598531 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32270252897632795 the lambda is 0.5249768552494843 the regulation term lambda/alpha is 1.6268135763137894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3857915241803321 the lambda is 0.6154735846723665 the regulation term lambda/alpha is 1.5953527905519074 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3006591655469719 the lambda is 0.4468654767844626 the regulation term lambda/alpha is 1.4862858944330066 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28437008296536515 the lambda is 0.4485697767066394 the regulation term lambda/alpha is 1.57741550035442 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3388094121632702 the lambda is 0.4474455803465072 the regulation term lambda/alpha is 1.320640939369435 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29590567822727987 the lambda is 0.4730391096817333 the regulation term lambda/alpha is 1.5986145062022108 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3383143220594686 the lambda is 0.5184737041552615 the regulation term lambda/alpha is 1.5325207073678797 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3018398501058574 the lambda is 0.4891356961541934 the regulation term lambda/alpha is 1.6205139778019702 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34758246433052886 the lambda is 0.5728183987095758 the regulation term lambda/alpha is 1.6480071853246945 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33566488428320307 the lambda is 0.5245881406027865 the regulation term lambda/alpha is 1.5628329478760352 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2852932702782549 the lambda is 0.5074556529266763 the regulation term lambda/alpha is 1.7787158190999033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28595703035347286 the lambda is 0.41744586868706507 the regulation term lambda/alpha is 1.4598202679999097 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33705198707231754 the lambda is 0.5144389795987111 the regulation term lambda/alpha is 1.526289709985699 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3052734447067897 the lambda is 0.464118801185694 the regulation term lambda/alpha is 1.520337943680207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35785875568937714 the lambda is 0.4999916500160565 the regulation term lambda/alpha is 1.3971759585786168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3602500018443933 the lambda is 0.5174402599572032 the regulation term lambda/alpha is 1.4363365921111273 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3732087668758396 the lambda is 0.5295878596879817 the regulation term lambda/alpha is 1.4190123777670176 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2735173634534265 the lambda is 0.4439084551380307 the regulation term lambda/alpha is 1.6229626139022715 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3629289424388507 the lambda is 0.5538647283246936 the regulation term lambda/alpha is 1.52609688442804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32027875947504436 the lambda is 0.43740561016678237 the regulation term lambda/alpha is 1.3657028361284893 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30785837176651853 the lambda is 0.5249556138328916 the regulation term lambda/alpha is 1.7051854423209278 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3084134260828152 the lambda is 0.4957680184903701 the regulation term lambda/alpha is 1.6074787170816827 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3251985255637966 the lambda is 0.4382757649968055 the regulation term lambda/alpha is 1.3477175649458033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31802590663568325 the lambda is 0.5606652642631221 the regulation term lambda/alpha is 1.7629546919439996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36013282462234963 the lambda is 0.5859671355809382 the regulation term lambda/alpha is 1.6270861624330075 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28895303925263516 the lambda is 0.4324054067065841 the regulation term lambda/alpha is 1.4964556449206503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3232372781386461 the lambda is 0.5238210454846437 the regulation term lambda/alpha is 1.6205465177192875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2829303394142814 the lambda is 0.5241514864703376 the regulation term lambda/alpha is 1.852581407690066 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24368845440536227 the lambda is 0.5028096314539605 the regulation term lambda/alpha is 2.0633297243437085 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27383399323723523 the lambda is 0.5411781268210668 the regulation term lambda/alpha is 1.9763000218611237 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3155970472690653 the lambda is 0.6017599202354655 the regulation term lambda/alpha is 1.9067349502875082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3367799779333188 the lambda is 0.4309436977967588 the regulation term lambda/alpha is 1.2796001129321413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3467915649572076 the lambda is 0.5187445936461974 the regulation term lambda/alpha is 1.495839709106558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3024284956600466 the lambda is 0.5075877493976596 the regulation term lambda/alpha is 1.6783727614352457 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2889827856532819 the lambda is 0.4976606041507281 the regulation term lambda/alpha is 1.7221115888467329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41401528485191186 the lambda is 0.6098683910043032 the regulation term lambda/alpha is 1.4730576703767002 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3067712548908579 the lambda is 0.5177785140345729 the regulation term lambda/alpha is 1.687832565077802 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36176818772808517 the lambda is 0.5203911757231329 the regulation term lambda/alpha is 1.4384658280519487 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28238759856180107 the lambda is 0.4512323384320619 the regulation term lambda/alpha is 1.5979183956030167 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30639915841156645 the lambda is 0.41384192749142873 the regulation term lambda/alpha is 1.3506627421461166 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3324061209614823 the lambda is 0.5322927461169069 the regulation term lambda/alpha is 1.6013325644463283 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2519541752666305 the lambda is 0.43605556285553204 the regulation term lambda/alpha is 1.7306939343000618 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2834902184651182 the lambda is 0.4936774431213811 the regulation term lambda/alpha is 1.7414267264467371 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2720384018865334 the lambda is 0.4409944803806307 the regulation term lambda/alpha is 1.6210743678922528 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31547089600307243 the lambda is 0.5705331970430976 the regulation term lambda/alpha is 1.8085129381873029 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909065051633235 the lambda is 0.5157607036486566 the regulation term lambda/alpha is 1.7729431775995979 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34065843811945173 the lambda is 0.5042448819326731 the regulation term lambda/alpha is 1.480206639577969 300 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39188479588565234 the lambda is 0.48793710975794424 the regulation term lambda/alpha is 1.2451034459125045 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2618365967771993 the lambda is 0.453865893817548 the regulation term lambda/alpha is 1.733393648572928 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2837282562322258 the lambda is 0.463066360125383 the regulation term lambda/alpha is 1.6320769960478403 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31800566403925884 the lambda is 0.49461289997636887 the regulation term lambda/alpha is 1.5553587747270667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32161334045234624 the lambda is 0.51144925247827 the regulation term lambda/alpha is 1.5902613111723576 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3187499570910488 the lambda is 0.539799418208675 the regulation term lambda/alpha is 1.6934885988219441 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29190518909596513 the lambda is 0.4660815420401952 the regulation term lambda/alpha is 1.5966881009674987 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2743344151478426 the lambda is 0.5423341984440191 the regulation term lambda/alpha is 1.9769090879529192 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26084550378958976 the lambda is 0.5481874827305825 the regulation term lambda/alpha is 2.101579190618429 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31671166779313975 the lambda is 0.4673560902773467 the regulation term lambda/alpha is 1.475651634604761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31453487963320864 the lambda is 0.5331305531466892 the regulation term lambda/alpha is 1.694980708557326 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3062753968153241 the lambda is 0.5288410426855616 the regulation term lambda/alpha is 1.7266847033241741 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27160943616374544 the lambda is 0.504331884232211 the regulation term lambda/alpha is 1.8568275511906882 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34169062144326723 the lambda is 0.46694541881143237 the regulation term lambda/alpha is 1.3665737058837064 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29183877626231325 the lambda is 0.5092179439032934 the regulation term lambda/alpha is 1.7448604685951445 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37243014929105944 the lambda is 0.4407194009356861 the regulation term lambda/alpha is 1.1833612337095127 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28404712147304023 the lambda is 0.43339857618344496 the regulation term lambda/alpha is 1.5257981631212556 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4138927962347292 the lambda is 0.4279923732017494 the regulation term lambda/alpha is 1.0340657704006617 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31589437225692363 the lambda is 0.4772341799165815 the regulation term lambda/alpha is 1.5107397340033546 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38746515174089385 the lambda is 0.5207153335887107 the regulation term lambda/alpha is 1.3439023645071546 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2957966068008867 the lambda is 0.4161285433696078 the regulation term lambda/alpha is 1.4068063453132227 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26858159078164534 the lambda is 0.4565556990961707 the regulation term lambda/alpha is 1.6998771128261982 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32698102460970024 the lambda is 0.4467813731111751 the regulation term lambda/alpha is 1.366383182768707 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2650522635011809 the lambda is 0.4051029192493971 the regulation term lambda/alpha is 1.5283888313128564 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2551462645093776 the lambda is 0.4126153866957634 the regulation term lambda/alpha is 1.6171719679658418 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33294387379941975 the lambda is 0.4664075690338723 the regulation term lambda/alpha is 1.4008594412968747 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2775173616206869 the lambda is 0.4724888282399179 the regulation term lambda/alpha is 1.7025559247198365 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.305108189110128 the lambda is 0.46224663161259333 the regulation term lambda/alpha is 1.5150253192507614 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3302676630904541 the lambda is 0.5634115266157118 the regulation term lambda/alpha is 1.7059239810026574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3264801188662872 the lambda is 0.45386971546066857 the regulation term lambda/alpha is 1.3901909771313055 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2564661295739275 the lambda is 0.5157962058325719 the regulation term lambda/alpha is 2.0111669587304757 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3350816822778124 the lambda is 0.5230790675979259 the regulation term lambda/alpha is 1.5610494254479927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4001913069224252 the lambda is 0.5469636481119242 the regulation term lambda/alpha is 1.3667554458346842 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26112729445616706 the lambda is 0.4246493687441427 the regulation term lambda/alpha is 1.6262159404995655 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3415601161326823 the lambda is 0.46257584803093715 the regulation term lambda/alpha is 1.3543028772459054 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31230941001864493 the lambda is 0.45673136026560546 the regulation term lambda/alpha is 1.4624322726565893 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24149930783044185 the lambda is 0.47835601434671066 the regulation term lambda/alpha is 1.9807759228965052 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.362086259420274 the lambda is 0.6059461710428274 the regulation term lambda/alpha is 1.6734856827016595 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30395396623138954 the lambda is 0.4703956753919959 the regulation term lambda/alpha is 1.547588541858013 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3393472426751615 the lambda is 0.5285620294421766 the regulation term lambda/alpha is 1.5575845711177327 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32205996478421933 the lambda is 0.489066832591747 the regulation term lambda/alpha is 1.51855829990984 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36672089262470375 the lambda is 0.5526149855272917 the regulation term lambda/alpha is 1.5069089234924746 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3984060977426124 the lambda is 0.49526805413537306 the regulation term lambda/alpha is 1.2431236794355938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37022767026161774 the lambda is 0.604102795059828 the regulation term lambda/alpha is 1.6317062272329474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35701802171779695 the lambda is 0.4810064879362287 the regulation term lambda/alpha is 1.3472890965611752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2734044176277323 the lambda is 0.5466001411785427 the regulation term lambda/alpha is 1.9992366835959245 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3647697862936256 the lambda is 0.6007176269273742 the regulation term lambda/alpha is 1.646840416886446 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336182785641805 the lambda is 0.516871611161303 the regulation term lambda/alpha is 1.5492904447136542 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29319792745218753 the lambda is 0.48215141955258217 the regulation term lambda/alpha is 1.644457120629571 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2917270934948673 the lambda is 0.5029010443543146 the regulation term lambda/alpha is 1.723875003619308 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31443521200879904 the lambda is 0.6102893858227487 the regulation term lambda/alpha is 1.9409066240509687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36062829999662754 the lambda is 0.4457062378067972 the regulation term lambda/alpha is 1.2359158663115604 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27917354984611725 the lambda is 0.5398503519368514 the regulation term lambda/alpha is 1.9337446267184744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34252883335949924 the lambda is 0.5852540137165368 the regulation term lambda/alpha is 1.7086270022187788 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2905057917060984 the lambda is 0.502721698347256 the regulation term lambda/alpha is 1.730504907991143 using Bay_non_info_prior option for model regressor Convergence after 6 iterations the alpha is 0.2827383339451695 the lambda is 0.3791986632059534 the regulation term lambda/alpha is 1.341164665982258 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3360023412480009 the lambda is 0.517585247084112 the regulation term lambda/alpha is 1.540421549331069 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38954581722603165 the lambda is 0.5575484111851462 the regulation term lambda/alpha is 1.4312781360494804 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31414555332607896 the lambda is 0.4850600233603103 the regulation term lambda/alpha is 1.5440614015530068 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28532086679734153 the lambda is 0.46648322751800714 the regulation term lambda/alpha is 1.6349425569681242 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.280605128754743 the lambda is 0.45491089420642045 the regulation term lambda/alpha is 1.6211781168263169 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2749190741431996 the lambda is 0.46981686640991704 the regulation term lambda/alpha is 1.7089278649512665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.387777048651147 the lambda is 0.5058220513667969 the regulation term lambda/alpha is 1.3044146194991697 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.293154151271047 the lambda is 0.4769305967272021 the regulation term lambda/alpha is 1.6268935461406362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3433629591826237 the lambda is 0.5291220572782741 the regulation term lambda/alpha is 1.5409992345646435 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3125516947725935 the lambda is 0.46081347554505986 the regulation term lambda/alpha is 1.4743592284160825 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.304654613674311 the lambda is 0.5674155653620497 the regulation term lambda/alpha is 1.8624880106645672 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27369056052185886 the lambda is 0.4853250140169582 the regulation term lambda/alpha is 1.7732617927763596 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31378862671001867 the lambda is 0.4768203451464171 the regulation term lambda/alpha is 1.5195590424858223 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28102390489057194 the lambda is 0.5209601722761877 the regulation term lambda/alpha is 1.8537930873853765 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30917154315716966 the lambda is 0.5826306419485991 the regulation term lambda/alpha is 1.88448987251202 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3263864561598839 the lambda is 0.5019754937989194 the regulation term lambda/alpha is 1.5379789336387824 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3827022827500758 the lambda is 0.524582680020051 the regulation term lambda/alpha is 1.3707330833002385 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3706916538143283 the lambda is 0.5375959030998462 the regulation term lambda/alpha is 1.4502508960428786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3416796918810166 the lambda is 0.5716251451402258 the regulation term lambda/alpha is 1.672985426770062 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30263414925653254 the lambda is 0.4971152385326809 the regulation term lambda/alpha is 1.642627706601919 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3033661971070787 the lambda is 0.5072604234839444 the regulation term lambda/alpha is 1.6721059508976786 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2968985469520714 the lambda is 0.4554656152372309 the regulation term lambda/alpha is 1.53407829008593 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31435387788058466 the lambda is 0.5368105258776618 the regulation term lambda/alpha is 1.7076631263368187 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3021298108858773 the lambda is 0.42518734467528524 the regulation term lambda/alpha is 1.4073002045994398 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2952493738212038 the lambda is 0.4948581725092419 the regulation term lambda/alpha is 1.67606849120336 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32027581894435836 the lambda is 0.46801522422192193 the regulation term lambda/alpha is 1.4612880415528042 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26351968934221187 the lambda is 0.5131974569886462 the regulation term lambda/alpha is 1.9474729128198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.347905508618623 the lambda is 0.4902590134340792 the regulation term lambda/alpha is 1.4091728969187012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3122756682427609 the lambda is 0.5028437353016398 the regulation term lambda/alpha is 1.6102558938749358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308883532200777 the lambda is 0.5041097549406481 the regulation term lambda/alpha is 1.6320383004846382 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3105023061315271 the lambda is 0.48421187319546016 the regulation term lambda/alpha is 1.5594469465561736 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3362591216101033 the lambda is 0.5386546317397005 the regulation term lambda/alpha is 1.60190340461389 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35630538161937725 the lambda is 0.5435256369054743 the regulation term lambda/alpha is 1.5254488563579847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27280778992013444 the lambda is 0.5764757908646209 the regulation term lambda/alpha is 2.1131207104950573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31365035563033317 the lambda is 0.5146457028995622 the regulation term lambda/alpha is 1.640826141788665 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3355965108573954 the lambda is 0.48380274929769196 the regulation term lambda/alpha is 1.4416203197752364 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2929814320020788 the lambda is 0.4620533217683392 the regulation term lambda/alpha is 1.5770737367583783 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3074665371852198 the lambda is 0.48172655334569436 the regulation term lambda/alpha is 1.5667609156943774 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2520904595226629 the lambda is 0.4899732839752835 the regulation term lambda/alpha is 1.9436407268369271 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3410311419374128 the lambda is 0.5233817086632216 the regulation term lambda/alpha is 1.534703563111179 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28865028868414366 the lambda is 0.45234553434859853 the regulation term lambda/alpha is 1.5671057749870425 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30445621429443676 the lambda is 0.4693771213038844 the regulation term lambda/alpha is 1.5416900666378062 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30616018424927055 the lambda is 0.5015446039285418 the regulation term lambda/alpha is 1.6381771037875799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35883840980521564 the lambda is 0.5095344503389604 the regulation term lambda/alpha is 1.419955156460384 310 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31181942488258074 the lambda is 0.5424505689814398 the regulation term lambda/alpha is 1.7396304581913264 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3792313368796688 the lambda is 0.555353018962679 the regulation term lambda/alpha is 1.4644175334563505 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3666291750237601 the lambda is 0.5236792280677967 the regulation term lambda/alpha is 1.428362126483411 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2690697559927845 the lambda is 0.4885328667041214 the regulation term lambda/alpha is 1.8156364876520055 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40263780320355386 the lambda is 0.49804197223801605 the regulation term lambda/alpha is 1.2369478679731185 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31092744923583293 the lambda is 0.522324701760336 the regulation term lambda/alpha is 1.6798925377738585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3137110251717631 the lambda is 0.5785360049164214 the regulation term lambda/alpha is 1.844168545238923 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3342246068129747 the lambda is 0.4364553736525561 the regulation term lambda/alpha is 1.305874447170156 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3587287231853219 the lambda is 0.5281012978443466 the regulation term lambda/alpha is 1.4721466771745666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.43285209677840614 the lambda is 0.5088700541251228 the regulation term lambda/alpha is 1.1756210906970221 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30591650698354067 the lambda is 0.4675190279505009 the regulation term lambda/alpha is 1.5282569501084653 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34723661423595215 the lambda is 0.5354209408857001 the regulation term lambda/alpha is 1.541948397532393 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33977985020378343 the lambda is 0.528137701607919 the regulation term lambda/alpha is 1.5543526235919158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246318135167693 the lambda is 0.5286215646739951 the regulation term lambda/alpha is 1.6283726445273008 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29438623242101175 the lambda is 0.5464958206012754 the regulation term lambda/alpha is 1.8563905523262147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.259599886641647 the lambda is 0.4806797209301856 the regulation term lambda/alpha is 1.8516176071899382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3355092748670738 the lambda is 0.4728188330223161 the regulation term lambda/alpha is 1.4092571157970022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3307918705484229 the lambda is 0.4742930763385151 the regulation term lambda/alpha is 1.4338111621430727 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30644251868258976 the lambda is 0.5440855776905281 the regulation term lambda/alpha is 1.7754898374728696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3642309918479302 the lambda is 0.5416385989067489 the regulation term lambda/alpha is 1.4870744418500446 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3720014981985058 the lambda is 0.5161660920615491 the regulation term lambda/alpha is 1.387537670039476 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33736092208879465 the lambda is 0.45555112433271516 the regulation term lambda/alpha is 1.3503375598813796 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29427436459427025 the lambda is 0.5129991965127212 the regulation term lambda/alpha is 1.7432683856781648 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32901793245601774 the lambda is 0.472874972064025 the regulation term lambda/alpha is 1.4372316078158984 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32025080443208725 the lambda is 0.5004897074860984 the regulation term lambda/alpha is 1.5628054654652175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31733725506951693 the lambda is 0.5406150099330491 the regulation term lambda/alpha is 1.7035976750180821 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4001596162001442 the lambda is 0.4899104165126871 the regulation term lambda/alpha is 1.2242875009847398 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32018667700676107 the lambda is 0.5501512862214336 the regulation term lambda/alpha is 1.7182204186772474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3412338250765496 the lambda is 0.5293110072781627 the regulation term lambda/alpha is 1.5511680507037116 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3846860542966885 the lambda is 0.518110017147481 the regulation term lambda/alpha is 1.3468385748860274 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35182099902708963 the lambda is 0.4829809384239633 the regulation term lambda/alpha is 1.372803044046767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38093558732507043 the lambda is 0.5391239688460149 the regulation term lambda/alpha is 1.415262807635651 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196966515645047 the lambda is 0.5696388217062389 the regulation term lambda/alpha is 1.7818104097074152 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3784869151068253 the lambda is 0.5490177795417421 the regulation term lambda/alpha is 1.4505594714860504 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2955228651274338 the lambda is 0.5191249745230737 the regulation term lambda/alpha is 1.7566321790336574 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3581775702240951 the lambda is 0.5512794738479284 the regulation term lambda/alpha is 1.5391233836976963 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31672385975994927 the lambda is 0.43309366151277673 the regulation term lambda/alpha is 1.3674172253426888 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35719456059500104 the lambda is 0.5173113766927541 the regulation term lambda/alpha is 1.4482621903061361 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2797956911669311 the lambda is 0.4577486415546965 the regulation term lambda/alpha is 1.636010331844587 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.241339995631761 the lambda is 0.4459834640579381 the regulation term lambda/alpha is 1.847946764441084 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35160562550041546 the lambda is 0.4064285161465284 the regulation term lambda/alpha is 1.1559215401291927 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3127757256932266 the lambda is 0.45005801969425413 the regulation term lambda/alpha is 1.4389160753979844 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314833728537417 the lambda is 0.4510500010398273 the regulation term lambda/alpha is 1.3607017364302048 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24370544443676406 the lambda is 0.393133201492819 the regulation term lambda/alpha is 1.6131490307957728 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.300397658043289 the lambda is 0.4895632366000614 the regulation term lambda/alpha is 1.6297172214622013 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31974184836784014 the lambda is 0.5127683983252344 the regulation term lambda/alpha is 1.603694983758682 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28749316075359166 the lambda is 0.5046268846302969 the regulation term lambda/alpha is 1.7552657019998088 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3314280398181314 the lambda is 0.44098169597185904 the regulation term lambda/alpha is 1.3305503548035476 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2844300374071186 the lambda is 0.45030072167176344 the regulation term lambda/alpha is 1.583168661709333 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3404780338956656 the lambda is 0.5214027122081769 the regulation term lambda/alpha is 1.5313842900301549 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.320305466019187 the lambda is 0.4492853736385603 the regulation term lambda/alpha is 1.4026778225871646 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33637465886372175 the lambda is 0.47212443379062724 the regulation term lambda/alpha is 1.403567187211635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3078908907478159 the lambda is 0.5314714797158564 the regulation term lambda/alpha is 1.7261682488397119 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32926999022398634 the lambda is 0.5401359038121445 the regulation term lambda/alpha is 1.6404042878147393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3581136028652997 the lambda is 0.5855316971006889 the regulation term lambda/alpha is 1.6350445568551326 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32052513162361024 the lambda is 0.4632101151320957 the regulation term lambda/alpha is 1.4451600496526404 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.43054475507112505 the lambda is 0.562248484714113 the regulation term lambda/alpha is 1.3059002068698544 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29873886995454624 the lambda is 0.4279925728050493 the regulation term lambda/alpha is 1.4326644968234945 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3918530705619084 the lambda is 0.5449207558316868 the regulation term lambda/alpha is 1.3906252030902368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3144958267837158 the lambda is 0.49729427415352667 the regulation term lambda/alpha is 1.5812428394972775 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3373174540205466 the lambda is 0.5148746896808967 the regulation term lambda/alpha is 1.526380220009412 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27776773060566723 the lambda is 0.45885710265933927 the regulation term lambda/alpha is 1.6519453201378365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30271875713713975 the lambda is 0.5434936603532207 the regulation term lambda/alpha is 1.795374906705908 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3289194964579482 the lambda is 0.49256241311649007 the regulation term lambda/alpha is 1.497516621607328 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2821325139845521 the lambda is 0.494353429383264 the regulation term lambda/alpha is 1.7522029715806944 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33569667754918797 the lambda is 0.49282249944459194 the regulation term lambda/alpha is 1.4680589127140857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.376145620988392 the lambda is 0.527516050841765 the regulation term lambda/alpha is 1.4024250753089171 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30603390461135493 the lambda is 0.4096345745737294 the regulation term lambda/alpha is 1.3385267723651117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3902292589059463 the lambda is 0.556421607744971 the regulation term lambda/alpha is 1.4258838747893086 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31379587292240946 the lambda is 0.495609694309851 the regulation term lambda/alpha is 1.579401569861939 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3104802370802228 the lambda is 0.4818366323509735 the regulation term lambda/alpha is 1.551907576734023 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2699232623436564 the lambda is 0.3981072476217025 the regulation term lambda/alpha is 1.4748904713327264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31309234471090175 the lambda is 0.5404706393316492 the regulation term lambda/alpha is 1.7262339640744024 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3403392483580373 the lambda is 0.4914206766553554 the regulation term lambda/alpha is 1.4439142092080435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3983594933996446 the lambda is 0.5727302270364953 the regulation term lambda/alpha is 1.4377220488678488 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37343987144845325 the lambda is 0.5029756615679535 the regulation term lambda/alpha is 1.346871879580165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3444533605786445 the lambda is 0.507677728954262 the regulation term lambda/alpha is 1.473864932255032 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31163974136465056 the lambda is 0.5763681380908318 the regulation term lambda/alpha is 1.8494693121196688 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3485191905858758 the lambda is 0.5070730624955464 the regulation term lambda/alpha is 1.454935843398278 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3188795873870214 the lambda is 0.5176515731307175 the regulation term lambda/alpha is 1.6233449665827882 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.323704592688666 the lambda is 0.5254715656882833 the regulation term lambda/alpha is 1.623305870713035 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31363553973315744 the lambda is 0.4255505142061082 the regulation term lambda/alpha is 1.3568312907656082 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.306435157757168 the lambda is 0.4940460518036005 the regulation term lambda/alpha is 1.612236844556535 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4414512380781648 the lambda is 0.46717500668035034 the regulation term lambda/alpha is 1.0582709173365843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28405622584430934 the lambda is 0.4416276711065095 the regulation term lambda/alpha is 1.5547192102332754 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42256472618860985 the lambda is 0.5433711737005313 the regulation term lambda/alpha is 1.2858886225586186 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2967713633907883 the lambda is 0.4375407335295069 the regulation term lambda/alpha is 1.4743360967525483 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33355747494946714 the lambda is 0.4819145928122763 the regulation term lambda/alpha is 1.4447722776570506 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38696053036157485 the lambda is 0.4956286495215779 the regulation term lambda/alpha is 1.280824814506182 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321532523635526 the lambda is 0.5685364427152998 the regulation term lambda/alpha is 1.7682081933327707 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32409426081943166 the lambda is 0.5002216833590163 the regulation term lambda/alpha is 1.5434450523568932 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.255680129287044 the lambda is 0.5155052066682402 the regulation term lambda/alpha is 2.0162114596300866 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2760475938275998 the lambda is 0.46643020626270987 the regulation term lambda/alpha is 1.6896731458344456 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2466972603541148 the lambda is 0.5443454189478888 the regulation term lambda/alpha is 2.206532079709856 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.42318150930553133 the lambda is 0.46296427423243297 the regulation term lambda/alpha is 1.0940087505056346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34540527805874643 the lambda is 0.4305685595576624 the regulation term lambda/alpha is 1.2465604520508555 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3309209494699956 the lambda is 0.4702968174485041 the regulation term lambda/alpha is 1.4211757164414445 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27068194786338506 the lambda is 0.4279609934610491 the regulation term lambda/alpha is 1.5810474131693621 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30904077747820824 the lambda is 0.4832758359448963 the regulation term lambda/alpha is 1.563793101636803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32933029793968455 the lambda is 0.46564845840090197 the regulation term lambda/alpha is 1.4139253549218953 320 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28943962739612583 the lambda is 0.43585223457613037 the regulation term lambda/alpha is 1.5058485201116738 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37335593637009695 the lambda is 0.5086747224398452 the regulation term lambda/alpha is 1.3624390906580113 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2501310657180348 the lambda is 0.49755699845828794 the regulation term lambda/alpha is 1.9891851379195296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.385259783532288 the lambda is 0.5788625209441532 the regulation term lambda/alpha is 1.5025251679186487 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34877304723222385 the lambda is 0.5425782011436237 the regulation term lambda/alpha is 1.5556769809175028 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2641981302761814 the lambda is 0.4994965716990185 the regulation term lambda/alpha is 1.890613575413521 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30142991311705125 the lambda is 0.4705410472188618 the regulation term lambda/alpha is 1.5610297012431587 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31860141230540007 the lambda is 0.5250290537338858 the regulation term lambda/alpha is 1.6479181618649306 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3202996382412854 the lambda is 0.46204776586446705 the regulation term lambda/alpha is 1.44254850989373 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32674904416930795 the lambda is 0.5987686203821845 the regulation term lambda/alpha is 1.8325030510936313 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36706038903383287 the lambda is 0.6522175314545221 the regulation term lambda/alpha is 1.7768671067212474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27946462089520435 the lambda is 0.5813822558578162 the regulation term lambda/alpha is 2.080342957171051 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36362089939992315 the lambda is 0.5627869669097759 the regulation term lambda/alpha is 1.5477299787733128 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3402674949764405 the lambda is 0.4631099322468791 the regulation term lambda/alpha is 1.3610172557885494 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3654021815338708 the lambda is 0.4708128228802684 the regulation term lambda/alpha is 1.2884784127557996 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3122188496950237 the lambda is 0.5029738128366621 the regulation term lambda/alpha is 1.6109655561410479 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36330126768019877 the lambda is 0.553516795802824 the regulation term lambda/alpha is 1.5235751841363383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40683031844711537 the lambda is 0.5326814442563479 the regulation term lambda/alpha is 1.3093454939386286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2717920639007668 the lambda is 0.43743246583751894 the regulation term lambda/alpha is 1.6094379635647809 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3762042881301688 the lambda is 0.5329125732295835 the regulation term lambda/alpha is 1.4165510336904845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3548340838559731 the lambda is 0.5020279669451052 the regulation term lambda/alpha is 1.414824532890358 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27985751222660876 the lambda is 0.5602745023727057 the regulation term lambda/alpha is 2.0019991527654084 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32540413499178455 the lambda is 0.5247960648075071 the regulation term lambda/alpha is 1.6127516782193212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3745697527189677 the lambda is 0.5058150182459492 the regulation term lambda/alpha is 1.3503893856198588 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2361616154935345 the lambda is 0.4771591902285779 the regulation term lambda/alpha is 2.020477329609228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37285902157942746 the lambda is 0.5906854122895477 the regulation term lambda/alpha is 1.584205767068233 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3043293852747984 the lambda is 0.5071012932340461 the regulation term lambda/alpha is 1.6662909261166219 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.317817834964392 the lambda is 0.500562031867344 the regulation term lambda/alpha is 1.5749966704147569 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2643648085774837 the lambda is 0.4499157257760097 the regulation term lambda/alpha is 1.7018744975814064 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909276050411757 the lambda is 0.5097747351534472 the regulation term lambda/alpha is 1.752239135510353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35816273381791625 the lambda is 0.48093456944921803 the regulation term lambda/alpha is 1.3427822719650027 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2721914596417253 the lambda is 0.4642335412380659 the regulation term lambda/alpha is 1.7055404377827206 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3239360115690597 the lambda is 0.5422556604592393 the regulation term lambda/alpha is 1.673959180495856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3079214732312195 the lambda is 0.4721891278509507 the regulation term lambda/alpha is 1.533472553557127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308824764640568 the lambda is 0.5553439510092574 the regulation term lambda/alpha is 1.7982494106507478 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3766014590318038 the lambda is 0.5269259882286325 the regulation term lambda/alpha is 1.3991607721948147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2680382194005404 the lambda is 0.5035430572764505 the regulation term lambda/alpha is 1.8786240947377197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31231203320194595 the lambda is 0.45059931437961037 the regulation term lambda/alpha is 1.442785632560772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3642012902217147 the lambda is 0.4688330540228675 the regulation term lambda/alpha is 1.2872910300165499 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3555688546097547 the lambda is 0.49293660441435655 the regulation term lambda/alpha is 1.3863323461087902 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30033516303712143 the lambda is 0.5165657109801448 the regulation term lambda/alpha is 1.719964141915335 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33255795873367666 the lambda is 0.535394327016645 the regulation term lambda/alpha is 1.6099278725889894 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28488946439913165 the lambda is 0.4896779619115329 the regulation term lambda/alpha is 1.7188349275896404 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28447050093783316 the lambda is 0.4629918428218229 the regulation term lambda/alpha is 1.6275566053261985 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31697392486277837 the lambda is 0.465962266904021 the regulation term lambda/alpha is 1.4700334328943347 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3300929205126003 the lambda is 0.46974348744993816 the regulation term lambda/alpha is 1.4230644108346064 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39913603613629683 the lambda is 0.49912982356893154 the regulation term lambda/alpha is 1.2505255812043212 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32994034008786105 the lambda is 0.5106669093082373 the regulation term lambda/alpha is 1.547755297737312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3035445991652772 the lambda is 0.5133569367577986 the regulation term lambda/alpha is 1.6912076122239965 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2596056729941941 the lambda is 0.45094369857728356 the regulation term lambda/alpha is 1.737033298911648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3274186382311434 the lambda is 0.5536516429406841 the regulation term lambda/alpha is 1.6909594576892413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3887691400371876 the lambda is 0.42850467837054695 the regulation term lambda/alpha is 1.1022085712090175 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32498251902877207 the lambda is 0.4647155122352096 the regulation term lambda/alpha is 1.4299707985033694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31923825700111025 the lambda is 0.5038078123429061 the regulation term lambda/alpha is 1.5781561303949667 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39160065526760157 the lambda is 0.6050728607654481 the regulation term lambda/alpha is 1.5451272939060063 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2910701277398777 the lambda is 0.527911265670471 the regulation term lambda/alpha is 1.8136909815158098 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3293199838746486 the lambda is 0.51167278015853 the regulation term lambda/alpha is 1.5537252678637674 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33867983688311776 the lambda is 0.5210790948297248 the regulation term lambda/alpha is 1.5385595423253824 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34749708526130746 the lambda is 0.47549311820355433 the regulation term lambda/alpha is 1.3683369972614237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3121492793415795 the lambda is 0.5087218624630618 the regulation term lambda/alpha is 1.6297390259433417 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28593015054304277 the lambda is 0.47579876739147986 the regulation term lambda/alpha is 1.664038460049896 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3304280609726902 the lambda is 0.44900139725523974 the regulation term lambda/alpha is 1.3588476594073216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28879803319715264 the lambda is 0.4381695148844725 the regulation term lambda/alpha is 1.5172177941577218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419424832719552 the lambda is 0.5351103171109469 the regulation term lambda/alpha is 1.5649132333327551 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4056364775571118 the lambda is 0.5013179051751162 the regulation term lambda/alpha is 1.2358797418669847 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2734204757847679 the lambda is 0.4595576824929245 the regulation term lambda/alpha is 1.680772740863346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2814563237219544 the lambda is 0.5333307525954714 the regulation term lambda/alpha is 1.8948970324871406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3870197820058213 the lambda is 0.4587531294809712 the regulation term lambda/alpha is 1.1853480127123603 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3440182675454459 the lambda is 0.5139038643034445 the regulation term lambda/alpha is 1.4938272550760874 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30301902111830925 the lambda is 0.5041462896828796 the regulation term lambda/alpha is 1.6637446976836585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38973833727872104 the lambda is 0.5237453546764016 the regulation term lambda/alpha is 1.3438384284526916 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3189208783407574 the lambda is 0.4552056835501569 the regulation term lambda/alpha is 1.4273310857490593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3208210574468553 the lambda is 0.5375514345129064 the regulation term lambda/alpha is 1.6755491013926136 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35641591484972995 the lambda is 0.5159968394565543 the regulation term lambda/alpha is 1.447737931888103 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36231596288842305 the lambda is 0.5279511501907662 the regulation term lambda/alpha is 1.4571567478890002 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3546304536861179 the lambda is 0.5154364866344011 the regulation term lambda/alpha is 1.453446767689647 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3160302663126587 the lambda is 0.505637972362805 the regulation term lambda/alpha is 1.5999669217205972 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3655170793004887 the lambda is 0.5249377731760241 the regulation term lambda/alpha is 1.4361511483420364 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33227154578527357 the lambda is 0.4887293947035244 the regulation term lambda/alpha is 1.4708734494507687 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3138385400055048 the lambda is 0.4871097887266214 the regulation term lambda/alpha is 1.5521031569866384 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33472489287070967 the lambda is 0.5039376393888881 the regulation term lambda/alpha is 1.5055278233625078 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.312305834082621 the lambda is 0.48738339965391986 the regulation term lambda/alpha is 1.5605965257920278 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2913471085625577 the lambda is 0.4835276797284078 the regulation term lambda/alpha is 1.6596275216666012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41468459250405715 the lambda is 0.46025800680032225 the regulation term lambda/alpha is 1.1098989813464537 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27367875022869964 the lambda is 0.4352465477730116 the regulation term lambda/alpha is 1.5903556538799517 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3649035382351197 the lambda is 0.5366289477235785 the regulation term lambda/alpha is 1.470604944854797 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26419495637297485 the lambda is 0.4826345550295362 the regulation term lambda/alpha is 1.8268121453014463 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3909033420481279 the lambda is 0.5090377591851782 the regulation term lambda/alpha is 1.3022087673082767 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3394107125341266 the lambda is 0.4545719592211377 the regulation term lambda/alpha is 1.339297619179984 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.259177042607396 the lambda is 0.478388728287564 the regulation term lambda/alpha is 1.8457990085650915 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3069871043773571 the lambda is 0.4052862413703386 the regulation term lambda/alpha is 1.3202060789893943 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2889544416683012 the lambda is 0.4907214751021945 the regulation term lambda/alpha is 1.698265900565416 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3126452700328988 the lambda is 0.5187569401741425 the regulation term lambda/alpha is 1.6592508823803895 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2834042005864334 the lambda is 0.4987302011925034 the regulation term lambda/alpha is 1.7597840828064906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2987288439257141 the lambda is 0.47212038390063915 the regulation term lambda/alpha is 1.5804311953821337 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35610728011843173 the lambda is 0.48629354733080693 the regulation term lambda/alpha is 1.3655815943135976 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26174292065305493 the lambda is 0.4779428527906589 the regulation term lambda/alpha is 1.8260010685224262 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3625528329550309 the lambda is 0.5343769073515636 the regulation term lambda/alpha is 1.4739283734071522 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30973788331213375 the lambda is 0.509802709957734 the regulation term lambda/alpha is 1.645916555334589 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2531438033315232 the lambda is 0.4535296688134525 the regulation term lambda/alpha is 1.7915890606237719 330 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33826034920853937 the lambda is 0.5790668286794387 the regulation term lambda/alpha is 1.7118968570639086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.44698498294573347 the lambda is 0.5358209723742634 the regulation term lambda/alpha is 1.1987449082586186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2572648602224086 the lambda is 0.4833552667006343 the regulation term lambda/alpha is 1.8788235061825693 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3163962711106947 the lambda is 0.4381460286653919 the regulation term lambda/alpha is 1.384801493163305 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3056978715579938 the lambda is 0.44250641691134923 the regulation term lambda/alpha is 1.4475286159373912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41437196876288473 the lambda is 0.46747205465863445 the regulation term lambda/alpha is 1.1281459410835173 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25142359348371146 the lambda is 0.4664566873602339 the regulation term lambda/alpha is 1.8552621927681316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2823395135195396 the lambda is 0.5384340441396341 the regulation term lambda/alpha is 1.9070445982842257 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4161191569046515 the lambda is 0.5445017801217098 the regulation term lambda/alpha is 1.3085237030951582 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2876012607730609 the lambda is 0.49231067611714274 the regulation term lambda/alpha is 1.7117820512811068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27101417809384587 the lambda is 0.5704595441289426 the regulation term lambda/alpha is 2.1049066441513102 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.357784402823082 the lambda is 0.5130478709575033 the regulation term lambda/alpha is 1.4339581795889418 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4071938596398933 the lambda is 0.5188615272379069 the regulation term lambda/alpha is 1.274237110787398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35948339939085683 the lambda is 0.4355629247798169 the regulation term lambda/alpha is 1.21163571257498 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3360590087201686 the lambda is 0.4865492796425719 the regulation term lambda/alpha is 1.447809066317024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3361022806986881 the lambda is 0.4935823843263505 the regulation term lambda/alpha is 1.4685481553421578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2832463396114818 the lambda is 0.54019366140478 the regulation term lambda/alpha is 1.9071514291967302 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3387003405821677 the lambda is 0.5353519227128793 the regulation term lambda/alpha is 1.5806063902761402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3490495612130249 the lambda is 0.5144923102126862 the regulation term lambda/alpha is 1.4739806817825838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3141990493460597 the lambda is 0.5332138748585021 the regulation term lambda/alpha is 1.6970575689782528 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3060956043838929 the lambda is 0.48210853889213773 the regulation term lambda/alpha is 1.575026011440192 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2836021433858912 the lambda is 0.4349068825221095 the regulation term lambda/alpha is 1.533510562825124 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2851488341357062 the lambda is 0.4573727570320047 the regulation term lambda/alpha is 1.6039790533189935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300164542793833 the lambda is 0.4395118390414904 the regulation term lambda/alpha is 1.3317876528344588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41295626268979374 the lambda is 0.6732289522385302 the regulation term lambda/alpha is 1.6302669630276299 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36297749195383655 the lambda is 0.47411516553031147 the regulation term lambda/alpha is 1.306183375112993 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3258586903750277 the lambda is 0.5893131963621624 the regulation term lambda/alpha is 1.808493109954893 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27046833600769615 the lambda is 0.49190327834191794 the regulation term lambda/alpha is 1.818709301069242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3424498130600421 the lambda is 0.45321418831536353 the regulation term lambda/alpha is 1.3234470308672677 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32412005478673334 the lambda is 0.484327613449985 the regulation term lambda/alpha is 1.4942846216926198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28354664378898864 the lambda is 0.5100278066149581 the regulation term lambda/alpha is 1.798743937856353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3335507574844477 the lambda is 0.5412469329505049 the regulation term lambda/alpha is 1.6226823678424456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34617712646514376 the lambda is 0.4786980582550986 the regulation term lambda/alpha is 1.3828125016321615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34452065700792667 the lambda is 0.48068828414955267 the regulation term lambda/alpha is 1.3952379178775718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33183925964373984 the lambda is 0.5493296221884478 the regulation term lambda/alpha is 1.6554087746525352 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27065703908860306 the lambda is 0.4923890342530203 the regulation term lambda/alpha is 1.8192360188047074 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3219191544140022 the lambda is 0.45331986013383835 the regulation term lambda/alpha is 1.408179208717879 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37861230431151877 the lambda is 0.5877979032592255 the regulation term lambda/alpha is 1.5525060769699413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3615501903739735 the lambda is 0.5086636890437127 the regulation term lambda/alpha is 1.406896476855871 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3138778609122418 the lambda is 0.45006687806849033 the regulation term lambda/alpha is 1.4338917589167786 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3637246769651654 the lambda is 0.48674682013292137 the regulation term lambda/alpha is 1.3382287509173814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29015055527065087 the lambda is 0.5846691601324133 the regulation term lambda/alpha is 2.0150544243730195 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31360233363622103 the lambda is 0.5491207223614328 the regulation term lambda/alpha is 1.75100968157467 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2753193688825401 the lambda is 0.46139860777720093 the regulation term lambda/alpha is 1.6758668656328646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4338852844765588 the lambda is 0.5776137385440043 the regulation term lambda/alpha is 1.3312591120504127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30447993555042224 the lambda is 0.47214541288749284 the regulation term lambda/alpha is 1.5506618261527614 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3306806541160168 the lambda is 0.5272658996693453 the regulation term lambda/alpha is 1.5944866840754406 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3014427848609742 the lambda is 0.3997501730543867 the regulation term lambda/alpha is 1.3261228768130975 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3100375520862897 the lambda is 0.5109182188457074 the regulation term lambda/alpha is 1.647923664109916 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3584903326937994 the lambda is 0.626445636547365 the regulation term lambda/alpha is 1.7474547551675172 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35999372938985835 the lambda is 0.41489354074560375 the regulation term lambda/alpha is 1.1525021323254527 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25673309056300775 the lambda is 0.46586403056445946 the regulation term lambda/alpha is 1.8145850600825706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34406143370346604 the lambda is 0.5678518264650373 the regulation term lambda/alpha is 1.6504373081071562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2608769819169015 the lambda is 0.4284356053216368 the regulation term lambda/alpha is 1.6422897956482363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3315738695440548 the lambda is 0.5649831353766238 the regulation term lambda/alpha is 1.7039434867214616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34987905389367174 the lambda is 0.48965340746911973 the regulation term lambda/alpha is 1.399493344971504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3864875108971464 the lambda is 0.6407505972319164 the regulation term lambda/alpha is 1.6578817663332865 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28357580076084044 the lambda is 0.4702862864561523 the regulation term lambda/alpha is 1.6584147349469287 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32867812546081954 the lambda is 0.5242091767963178 the regulation term lambda/alpha is 1.5949013219585457 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26416290475982057 the lambda is 0.4903600559289409 the regulation term lambda/alpha is 1.8562790122813835 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33824343801163925 the lambda is 0.4911606161044308 the regulation term lambda/alpha is 1.4520920760258165 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2841203698556103 the lambda is 0.46777439468163434 the regulation term lambda/alpha is 1.6463951349892894 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.3414793496685748 the lambda is 0.3919512868097225 the regulation term lambda/alpha is 1.147803775514196 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31888691436801736 the lambda is 0.45583534669239784 the regulation term lambda/alpha is 1.4294576734068574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28928000157129813 the lambda is 0.46541756366565235 the regulation term lambda/alpha is 1.6088826090210804 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27772472007432514 the lambda is 0.4873286237755766 the regulation term lambda/alpha is 1.7547182103384853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30668255316787413 the lambda is 0.41404375931230164 the regulation term lambda/alpha is 1.3500727544995341 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.45603372191086167 the lambda is 0.5855894061560327 the regulation term lambda/alpha is 1.2840923335719778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3268685212960248 the lambda is 0.5715747045486582 the regulation term lambda/alpha is 1.748637960860777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3218531192557511 the lambda is 0.5154450541274188 the regulation term lambda/alpha is 1.601491560247504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34582073279124254 the lambda is 0.6249690549992042 the regulation term lambda/alpha is 1.80720528221329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29469209166708155 the lambda is 0.5052267413866036 the regulation term lambda/alpha is 1.7144224621995168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.319253426638027 the lambda is 0.43205006504419663 the regulation term lambda/alpha is 1.3533137908463537 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30195695733515426 the lambda is 0.40912610305792785 the regulation term lambda/alpha is 1.3549153053752034 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3247305918554743 the lambda is 0.5719954442250192 the regulation term lambda/alpha is 1.7614461297184882 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2614119530006421 the lambda is 0.5003226571425453 the regulation term lambda/alpha is 1.9139241775272469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38527563158079553 the lambda is 0.4489959729253075 the regulation term lambda/alpha is 1.1653889738187329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30340479958097777 the lambda is 0.44917323949065374 the regulation term lambda/alpha is 1.4804421027979515 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3445949985456576 the lambda is 0.44412877288523017 the regulation term lambda/alpha is 1.2888427712521913 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3121822674324036 the lambda is 0.4828994571403921 the regulation term lambda/alpha is 1.5468510146719132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4428687097928968 the lambda is 0.5298189326392343 the regulation term lambda/alpha is 1.1963340848510136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35453165196295644 the lambda is 0.6221885073949502 the regulation term lambda/alpha is 1.7549589830697547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32391753065164935 the lambda is 0.4222135611578806 the regulation term lambda/alpha is 1.303460051416426 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32517305364657767 the lambda is 0.5711999336883083 the regulation term lambda/alpha is 1.756602914302767 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33245933189699656 the lambda is 0.5098551708626649 the regulation term lambda/alpha is 1.5335865832174311 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3631423532046497 the lambda is 0.48543308350997727 the regulation term lambda/alpha is 1.3367570023880149 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33279004846311805 the lambda is 0.49602007689107475 the regulation term lambda/alpha is 1.490489511876275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3617148976467468 the lambda is 0.5505330091282967 the regulation term lambda/alpha is 1.522008113876335 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31344332513612916 the lambda is 0.48822782103487294 the regulation term lambda/alpha is 1.557627111130328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32455573253985537 the lambda is 0.4474882273630013 the regulation term lambda/alpha is 1.3787716022179637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37298739803888864 the lambda is 0.5135634419871963 the regulation term lambda/alpha is 1.3768922078532284 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3513329117700881 the lambda is 0.4945107976109228 the regulation term lambda/alpha is 1.407527678290869 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27101668367158877 the lambda is 0.4412976047468238 the regulation term lambda/alpha is 1.6283042016762967 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36156672275662466 the lambda is 0.5087701421638674 the regulation term lambda/alpha is 1.4071265692952815 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2952047557876053 the lambda is 0.49004517606557957 the regulation term lambda/alpha is 1.6600178908301821 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3943751230746455 the lambda is 0.4594353802892278 the regulation term lambda/alpha is 1.1649704897899151 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2928519392415868 the lambda is 0.5141633097016419 the regulation term lambda/alpha is 1.7557107903509062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33538835547699464 the lambda is 0.53560280058059 the regulation term lambda/alpha is 1.596963018644005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2975341615995443 the lambda is 0.5012808701059265 the regulation term lambda/alpha is 1.6847842527091323 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2818711314316268 the lambda is 0.4605248283233473 the regulation term lambda/alpha is 1.6338133883535226 340 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30724935391643715 the lambda is 0.5213559574888267 the regulation term lambda/alpha is 1.696849646201763 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30636732957983576 the lambda is 0.5017685996280875 the regulation term lambda/alpha is 1.6378006111690588 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2897738825701118 the lambda is 0.46764515894626996 the regulation term lambda/alpha is 1.6138278398265296 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3178034815263601 the lambda is 0.42697910716883497 the regulation term lambda/alpha is 1.3435318742202618 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3435376219790833 the lambda is 0.5779135175247383 the regulation term lambda/alpha is 1.6822422947316242 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3175313487611536 the lambda is 0.465059141511993 the regulation term lambda/alpha is 1.4646085916443152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2799915946253105 the lambda is 0.494456952719313 the regulation term lambda/alpha is 1.765970701302672 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30250924448032224 the lambda is 0.5424751711278782 the regulation term lambda/alpha is 1.7932515485924776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38562495402363434 the lambda is 0.5588633688121288 the regulation term lambda/alpha is 1.4492406753787956 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37677070323879647 the lambda is 0.593595767741259 the regulation term lambda/alpha is 1.575482813919954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31576520265930585 the lambda is 0.4400941731705234 the regulation term lambda/alpha is 1.3937386686821285 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4088739939542418 the lambda is 0.5209660778911548 the regulation term lambda/alpha is 1.274148235383876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2936612969023601 the lambda is 0.5292158319196616 the regulation term lambda/alpha is 1.8021299963666013 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4102398806751172 the lambda is 0.563903795787873 the regulation term lambda/alpha is 1.3745708848683276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32655853710481475 the lambda is 0.4838477845626539 the regulation term lambda/alpha is 1.4816571290780691 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34670655935401024 the lambda is 0.5266058728623585 the regulation term lambda/alpha is 1.5188806172099536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36588781443597046 the lambda is 0.49159429717980535 the regulation term lambda/alpha is 1.3435656443973574 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31859068349302083 the lambda is 0.425784603147546 the regulation term lambda/alpha is 1.3364628195628747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3567135995644937 the lambda is 0.551338251585883 the regulation term lambda/alpha is 1.5456047996460005 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3223049962440484 the lambda is 0.49217895779626997 the regulation term lambda/alpha is 1.5270596594276606 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28298729482816265 the lambda is 0.47580725316641015 the regulation term lambda/alpha is 1.6813731989463798 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27827792878029156 the lambda is 0.5028332397450289 the regulation term lambda/alpha is 1.8069461776899678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31835016505852065 the lambda is 0.5075435723509522 the regulation term lambda/alpha is 1.5942934166773655 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3199772148910257 the lambda is 0.49186859815294354 the regulation term lambda/alpha is 1.5371988231113853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3500523455396773 the lambda is 0.4788848968085575 the regulation term lambda/alpha is 1.3680379603520683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3289544437129022 the lambda is 0.47544685554209903 the regulation term lambda/alpha is 1.4453273534649353 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32549300213322346 the lambda is 0.5377721273778386 the regulation term lambda/alpha is 1.6521772322396346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32103636412764364 the lambda is 0.4565028575232851 the regulation term lambda/alpha is 1.4219661961464907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3396817643628364 the lambda is 0.6601309362353317 the regulation term lambda/alpha is 1.943380556426345 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.2969890074577561 the lambda is 0.5479105894126108 the regulation term lambda/alpha is 1.8448850821205764 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30549329468693454 the lambda is 0.46026542520462776 the regulation term lambda/alpha is 1.5066302050141613 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34040111080907814 the lambda is 0.5691139521919556 the regulation term lambda/alpha is 1.6718921710897598 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3617681527773931 the lambda is 0.46107425453395434 the regulation term lambda/alpha is 1.2745020560659117 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30490065653501014 the lambda is 0.5206105060232122 the regulation term lambda/alpha is 1.7074758445573675 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3382362125651557 the lambda is 0.49914275943047637 the regulation term lambda/alpha is 1.4757224119943237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36491703372521145 the lambda is 0.48419238799186504 the regulation term lambda/alpha is 1.3268560884896097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2890173610190388 the lambda is 0.5350045435996128 the regulation term lambda/alpha is 1.8511155928946765 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39375118760836086 the lambda is 0.5277938723583342 the regulation term lambda/alpha is 1.340424839259906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26404996378288986 the lambda is 0.5869751183530371 the regulation term lambda/alpha is 2.222969887758312 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27816273844547956 the lambda is 0.4783999404680319 the regulation term lambda/alpha is 1.7198563083667628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3054542680858329 the lambda is 0.47795177747697243 the regulation term lambda/alpha is 1.5647245018775364 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29292447532524146 the lambda is 0.4599809058641539 the regulation term lambda/alpha is 1.5703054698772627 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.40153395294462924 the lambda is 0.5994853226030336 the regulation term lambda/alpha is 1.4929878736449005 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2951903768649297 the lambda is 0.46299115808344105 the regulation term lambda/alpha is 1.5684493613939587 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34072193216699753 the lambda is 0.6115244008974013 the regulation term lambda/alpha is 1.7947902473083999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34285049674944607 the lambda is 0.48106221874719957 the regulation term lambda/alpha is 1.403125336868793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3208132807971307 the lambda is 0.4544918059650576 the regulation term lambda/alpha is 1.4166863816727706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.446472862976629 the lambda is 0.5591764961804412 the regulation term lambda/alpha is 1.252431093913342 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.260432617485146 the lambda is 0.4350716895024209 the regulation term lambda/alpha is 1.670572963185902 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2936847908334173 the lambda is 0.5039577340340063 the regulation term lambda/alpha is 1.7159817251818776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35065462718198687 the lambda is 0.5227804057988137 the regulation term lambda/alpha is 1.4908698339448831 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26735448504168335 the lambda is 0.5477456824425796 the regulation term lambda/alpha is 2.0487618988594125 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28206303771466235 the lambda is 0.4926067575184743 the regulation term lambda/alpha is 1.7464420773089737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295810230338523 the lambda is 0.49340376478411185 the regulation term lambda/alpha is 1.4970636362562442 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2931887946718028 the lambda is 0.500580390853299 the regulation term lambda/alpha is 1.707365356215784 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.367609391306959 the lambda is 0.5268419780623357 the regulation term lambda/alpha is 1.43315701535605 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32324252153837607 the lambda is 0.5418350998249675 the regulation term lambda/alpha is 1.6762494527213359 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2880452370354117 the lambda is 0.4500596447780826 the regulation term lambda/alpha is 1.5624616793186314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35188026825724505 the lambda is 0.45873877539394364 the regulation term lambda/alpha is 1.3036785997292089 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.301993583041584 the lambda is 0.4940253685887748 the regulation term lambda/alpha is 1.6358803508773507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25829847083337776 the lambda is 0.46787292875605435 the regulation term lambda/alpha is 1.8113654612298038 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3101830000356214 the lambda is 0.49459989913143965 the regulation term lambda/alpha is 1.5945422511054437 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3039513285144894 the lambda is 0.4749417553870941 the regulation term lambda/alpha is 1.5625585770863097 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2461331947933605 the lambda is 0.5095798611728934 the regulation term lambda/alpha is 2.0703418797318576 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30602812332836354 the lambda is 0.5698927601463227 the regulation term lambda/alpha is 1.862223490926801 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2718592681739043 the lambda is 0.5038215409822293 the regulation term lambda/alpha is 1.853243938918949 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3366373894157668 the lambda is 0.48605807712854665 the regulation term lambda/alpha is 1.4438624241118878 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36775683844404844 the lambda is 0.5519622507148887 the regulation term lambda/alpha is 1.5008891555904154 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25045948581328625 the lambda is 0.42296293100106375 the regulation term lambda/alpha is 1.6887479011929944 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.334021144179557 the lambda is 0.5346831437675607 the regulation term lambda/alpha is 1.6007463990966257 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3356954663325617 the lambda is 0.5136746411349496 the regulation term lambda/alpha is 1.5301804541681545 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3051783159622175 the lambda is 0.5025516395841928 the regulation term lambda/alpha is 1.646747535124386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3380568823259344 the lambda is 0.44159055300416333 the regulation term lambda/alpha is 1.306261094185942 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25500415524546516 the lambda is 0.45313842000343696 the regulation term lambda/alpha is 1.776984455673866 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30981145555271217 the lambda is 0.534670456284896 the regulation term lambda/alpha is 1.7257930483268578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4087858167962454 the lambda is 0.5374695493234866 the regulation term lambda/alpha is 1.314795003250766 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33472720388861293 the lambda is 0.5436667883139404 the regulation term lambda/alpha is 1.624208555498394 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2627487755926086 the lambda is 0.48882629991999954 the regulation term lambda/alpha is 1.8604322658307022 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2554261001734912 the lambda is 0.4416242414013229 the regulation term lambda/alpha is 1.7289706928985005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32800446467166305 the lambda is 0.4849507975948365 the regulation term lambda/alpha is 1.4784884043583946 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3205726254635662 the lambda is 0.46595162357510894 the regulation term lambda/alpha is 1.4534978552872895 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33072893509452667 the lambda is 0.5057726568413201 the regulation term lambda/alpha is 1.52926642689054 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24446546304686562 the lambda is 0.4061396705930044 the regulation term lambda/alpha is 1.661337620173958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27796725593790916 the lambda is 0.47237947882672987 the regulation term lambda/alpha is 1.6994069219874137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2709968511288961 the lambda is 0.4720429903444855 the regulation term lambda/alpha is 1.7418762925771578 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30585693033371536 the lambda is 0.5277252238635156 the regulation term lambda/alpha is 1.7253989415499706 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32029304122924757 the lambda is 0.5395392661773841 the regulation term lambda/alpha is 1.6845176033381648 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33428962334519535 the lambda is 0.5710603947984995 the regulation term lambda/alpha is 1.708280350086754 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3442522461508082 the lambda is 0.5626958787193005 the regulation term lambda/alpha is 1.634545264441928 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3041902672926186 the lambda is 0.4846011684787732 the regulation term lambda/alpha is 1.5930857117548956 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27276231617800295 the lambda is 0.567714013296861 the regulation term lambda/alpha is 2.081350610494063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29789634880977556 the lambda is 0.5301838168467744 the regulation term lambda/alpha is 1.7797593658501942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2911741092621826 the lambda is 0.5388145832842416 the regulation term lambda/alpha is 1.850489333167584 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2938771250409938 the lambda is 0.5141159656429991 the regulation term lambda/alpha is 1.749424918905422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3096538195684485 the lambda is 0.47847400942263657 the regulation term lambda/alpha is 1.5451900773885678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28953860683294064 the lambda is 0.4393876908599855 the regulation term lambda/alpha is 1.517544398193176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2682805205498688 the lambda is 0.40437397338549863 the regulation term lambda/alpha is 1.5072804114018126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3688743196444611 the lambda is 0.5320731387378971 the regulation term lambda/alpha is 1.4424239108071684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34196330418622173 the lambda is 0.5205386089368735 the regulation term lambda/alpha is 1.5222060453989699 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3238868176118592 the lambda is 0.6174324962480504 the regulation term lambda/alpha is 1.9063217848772458 350 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32058923017501934 the lambda is 0.4588323974175755 the regulation term lambda/alpha is 1.4312158807302573 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23833776554909822 the lambda is 0.45275447563226595 the regulation term lambda/alpha is 1.8996338015890197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29225831693956916 the lambda is 0.4130000227569135 the regulation term lambda/alpha is 1.413133515178322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2858011062245364 the lambda is 0.5573832958988126 the regulation term lambda/alpha is 1.950248910026649 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.356251414472647 the lambda is 0.5064664143848435 the regulation term lambda/alpha is 1.4216544659466328 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28311179221295124 the lambda is 0.4917583087053758 the regulation term lambda/alpha is 1.7369757185369539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3752183613057947 the lambda is 0.4958548271955718 the regulation term lambda/alpha is 1.3215100281072358 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3512444219955384 the lambda is 0.4524400275833017 the regulation term lambda/alpha is 1.2881059434704667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30268691065140496 the lambda is 0.5592214049128214 the regulation term lambda/alpha is 1.8475242411683244 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33223619988839964 the lambda is 0.45382670483942206 the regulation term lambda/alpha is 1.3659760886738577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3107713438412194 the lambda is 0.5211989992957093 the regulation term lambda/alpha is 1.6771140892643002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3210990019127521 the lambda is 0.5212404360499112 the regulation term lambda/alpha is 1.6233013274564487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32527848009211285 the lambda is 0.5220369370931983 the regulation term lambda/alpha is 1.6048923277843867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3397362593491793 the lambda is 0.5095348209686685 the regulation term lambda/alpha is 1.4997952292309522 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33048209591757777 the lambda is 0.49330779396347685 the regulation term lambda/alpha is 1.492691434898512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33512533877508804 the lambda is 0.5866898590650548 the regulation term lambda/alpha is 1.750658011147282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3030109258656935 the lambda is 0.5443898844106005 the regulation term lambda/alpha is 1.7966015015969945 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3540549023776177 the lambda is 0.4978887846270611 the regulation term lambda/alpha is 1.406247396331875 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3272256495771858 the lambda is 0.5083689471130364 the regulation term lambda/alpha is 1.553573039796572 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2751529373095245 the lambda is 0.4698862425643247 the regulation term lambda/alpha is 1.7077275174996267 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35877010285445676 the lambda is 0.501388119262904 the regulation term lambda/alpha is 1.3975192338317652 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33698031916624405 the lambda is 0.5057081090270532 the regulation term lambda/alpha is 1.5007051755374767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25997540645583356 the lambda is 0.5328710578020072 the regulation term lambda/alpha is 2.049697950534929 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.298356857686431 the lambda is 0.5511246445518792 the regulation term lambda/alpha is 1.8471995208204788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980845800598389 the lambda is 0.4696156133547695 the regulation term lambda/alpha is 1.575444168431982 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3570999593508133 the lambda is 0.4757038027615377 the regulation term lambda/alpha is 1.3321306550309868 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28170600370773574 the lambda is 0.5001300891010307 the regulation term lambda/alpha is 1.7753618400689306 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3113335127240674 the lambda is 0.47471481152460526 the regulation term lambda/alpha is 1.5247790299573099 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3376145298133604 the lambda is 0.5063982238875535 the regulation term lambda/alpha is 1.4999301841881625 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2924116540509161 the lambda is 0.5229151294903006 the regulation term lambda/alpha is 1.7882841612025768 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4022802400003671 the lambda is 0.6025536031724666 the regulation term lambda/alpha is 1.4978453904967264 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3770800516356261 the lambda is 0.5047093559177048 the regulation term lambda/alpha is 1.3384673989739648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3322750170245176 the lambda is 0.4908050041688646 the regulation term lambda/alpha is 1.4771047446298062 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34039303557073186 the lambda is 0.39851433290030647 the regulation term lambda/alpha is 1.1707476101328675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3228422328257734 the lambda is 0.4300596021013053 the regulation term lambda/alpha is 1.3321045339609991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32430344539123107 the lambda is 0.4982474659769987 the regulation term lambda/alpha is 1.5363619260224823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35651078123054447 the lambda is 0.4708787892462098 the regulation term lambda/alpha is 1.3207981750815752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3430485269685096 the lambda is 0.5456475831376429 the regulation term lambda/alpha is 1.590584247539215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35148731229794195 the lambda is 0.5975206306487904 the regulation term lambda/alpha is 1.699977807854116 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31968092033570944 the lambda is 0.49779605250524633 the regulation term lambda/alpha is 1.557165350945847 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3082774771887398 the lambda is 0.49786221102440714 the regulation term lambda/alpha is 1.6149808139230228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3259901698131462 the lambda is 0.4924571211179508 the regulation term lambda/alpha is 1.510650218073206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2787855984263041 the lambda is 0.4703434728467476 the regulation term lambda/alpha is 1.6871153872429354 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3487002839876926 the lambda is 0.5168916739943046 the regulation term lambda/alpha is 1.482337978286672 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36052430299229843 the lambda is 0.5433623452723592 the regulation term lambda/alpha is 1.5071448464431718 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27203061624127456 the lambda is 0.49110112461479927 the regulation term lambda/alpha is 1.8053156346902606 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34367253408163767 the lambda is 0.5114455810732316 the regulation term lambda/alpha is 1.4881770591296082 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29692123040142737 the lambda is 0.44286551698222504 the regulation term lambda/alpha is 1.4915252654163058 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2853875899405521 the lambda is 0.395064860289082 the regulation term lambda/alpha is 1.3843098796670743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112289005312537 the lambda is 0.522220149799939 the regulation term lambda/alpha is 1.6779294882593898 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35127890192234806 the lambda is 0.49525435323456374 the regulation term lambda/alpha is 1.4098607987109972 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3039405789330296 the lambda is 0.5122434899879482 the regulation term lambda/alpha is 1.6853409037587448 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27427230597559044 the lambda is 0.49951877545330803 the regulation term lambda/alpha is 1.8212512330638442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2788853456081505 the lambda is 0.4918942316816029 the regulation term lambda/alpha is 1.7637865862365598 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2911086179964545 the lambda is 0.47288502758734524 the regulation term lambda/alpha is 1.6244281287237765 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3823689008049098 the lambda is 0.5536842059987412 the regulation term lambda/alpha is 1.4480367122775997 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3244064576045297 the lambda is 0.5530742407259679 the regulation term lambda/alpha is 1.704880491004891 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2907086274581286 the lambda is 0.5193821711606743 the regulation term lambda/alpha is 1.7866073521862782 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2890407444462995 the lambda is 0.4080449431658123 the regulation term lambda/alpha is 1.4117211881234357 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30324858566463697 the lambda is 0.3921306264389389 the regulation term lambda/alpha is 1.2930996053270853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2975851033700385 the lambda is 0.45088882538859537 the regulation term lambda/alpha is 1.515159261275011 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31574924576563224 the lambda is 0.4605992603379714 the regulation term lambda/alpha is 1.4587501522643553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2709005703717604 the lambda is 0.4420040358746206 the regulation term lambda/alpha is 1.6316098385029336 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35598108488065533 the lambda is 0.5899557924053658 the regulation term lambda/alpha is 1.6572672466660743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.325649311645884 the lambda is 0.5523522184882728 the regulation term lambda/alpha is 1.6961565670033072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3126205241864978 the lambda is 0.5340487306068303 the regulation term lambda/alpha is 1.7082970863686375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222412083403361 the lambda is 0.47543615037769493 the regulation term lambda/alpha is 1.4754045667416984 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3103201932625786 the lambda is 0.47735387371763965 the regulation term lambda/alpha is 1.5382623628160894 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2948044639866142 the lambda is 0.4871264898951954 the regulation term lambda/alpha is 1.6523714848405882 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2639947292708789 the lambda is 0.47932949365002864 the regulation term lambda/alpha is 1.8156782712059363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.346308899030095 the lambda is 0.4750946491473898 the regulation term lambda/alpha is 1.3718811456418942 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36453932052784965 the lambda is 0.4356879259556974 the regulation term lambda/alpha is 1.1951740221735894 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3040602785340701 the lambda is 0.4556665556235366 the regulation term lambda/alpha is 1.498605992931362 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2897094760863169 the lambda is 0.4615836681559146 the regulation term lambda/alpha is 1.593263963579807 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3138115749974176 the lambda is 0.37580362630500674 the regulation term lambda/alpha is 1.1975454579968865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2871606088308769 the lambda is 0.5424017355332034 the regulation term lambda/alpha is 1.888844496261152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34534832927757914 the lambda is 0.4918650378641572 the regulation term lambda/alpha is 1.4242577599638913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30980845119181966 the lambda is 0.5860027335298791 the regulation term lambda/alpha is 1.891500155259006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2942299284406451 the lambda is 0.445376465144862 the regulation term lambda/alpha is 1.513702115570842 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3584451912952442 the lambda is 0.531114503357004 the regulation term lambda/alpha is 1.4817174738425645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4046969193056239 the lambda is 0.5095007278225195 the regulation term lambda/alpha is 1.258968634346704 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28152861927365896 the lambda is 0.4909184495386498 the regulation term lambda/alpha is 1.7437603708113745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32509652713397635 the lambda is 0.49922144172482086 the regulation term lambda/alpha is 1.5356098883181408 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.39351173992100785 the lambda is 0.5126171250686067 the regulation term lambda/alpha is 1.3026730159855144 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29406463657165954 the lambda is 0.594602628921665 the regulation term lambda/alpha is 2.0220133772418722 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32867541280564977 the lambda is 0.5342491698938076 the regulation term lambda/alpha is 1.625461318610152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2830175489099101 the lambda is 0.45745842544426735 the regulation term lambda/alpha is 1.6163606363147647 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3276473352554928 the lambda is 0.4307196111499208 the regulation term lambda/alpha is 1.3145829823827329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3768040881281728 the lambda is 0.5789555016678904 the regulation term lambda/alpha is 1.5364894381691376 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3833887987439792 the lambda is 0.6460513462706436 the regulation term lambda/alpha is 1.6851075158877196 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29093156003654724 the lambda is 0.5209651039144105 the regulation term lambda/alpha is 1.7906792368932616 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27224327236323986 the lambda is 0.4780779650086555 the regulation term lambda/alpha is 1.756068977788297 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3018365962314749 the lambda is 0.4870256945356999 the regulation term lambda/alpha is 1.6135409046363802 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4004021505359311 the lambda is 0.5410018947138031 the regulation term lambda/alpha is 1.3511463262364645 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37394032700983365 the lambda is 0.5207779475281296 the regulation term lambda/alpha is 1.3926766115130302 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3378948152621447 the lambda is 0.5462112880694218 the regulation term lambda/alpha is 1.61651278267073 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29601244922422104 the lambda is 0.43409847283183317 the regulation term lambda/alpha is 1.4664872169042318 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27096454432737965 the lambda is 0.4344817065953611 the regulation term lambda/alpha is 1.6034633153716962 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34865479431202284 the lambda is 0.4755884563722972 the regulation term lambda/alpha is 1.3640668768394366 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3138473132320459 the lambda is 0.5352847147228638 the regulation term lambda/alpha is 1.705557741471236 360 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39203352103097394 the lambda is 0.5689548623234524 the regulation term lambda/alpha is 1.4512913610734328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34415740314003546 the lambda is 0.5809900664979956 the regulation term lambda/alpha is 1.6881521687377283 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36568082354667364 the lambda is 0.562994819306992 the regulation term lambda/alpha is 1.5395798276940116 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2687982041593975 the lambda is 0.44413720552261604 the regulation term lambda/alpha is 1.6523071904871895 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2606559175266899 the lambda is 0.4306359452360151 the regulation term lambda/alpha is 1.6521241847191908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28001574667283724 the lambda is 0.5080054308568138 the regulation term lambda/alpha is 1.8142030828371718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2572991952327411 the lambda is 0.5140090205353588 the regulation term lambda/alpha is 1.9977093984705616 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28488146740120895 the lambda is 0.5492658729384013 the regulation term lambda/alpha is 1.9280505606384364 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3851326619314841 the lambda is 0.49388778927515037 the regulation term lambda/alpha is 1.28238354752424 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29540403995934417 the lambda is 0.5237102186344298 the regulation term lambda/alpha is 1.7728607188530898 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27326454624614965 the lambda is 0.482924857489288 the regulation term lambda/alpha is 1.7672430036140938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30631923580765896 the lambda is 0.5185784023743404 the regulation term lambda/alpha is 1.6929345002021394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36887997332441874 the lambda is 0.48973895887416174 the regulation term lambda/alpha is 1.3276376986816012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35383632062349396 the lambda is 0.6174243181666678 the regulation term lambda/alpha is 1.744943303385888 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2888817554210606 the lambda is 0.48333726508679825 the regulation term lambda/alpha is 1.6731318472580878 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38442238230346687 the lambda is 0.534943679480916 the regulation term lambda/alpha is 1.391551855736189 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2922681871063136 the lambda is 0.4572854186534581 the regulation term lambda/alpha is 1.5646089407846464 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2931867928591117 the lambda is 0.43598673794259046 the regulation term lambda/alpha is 1.4870613157261146 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2664501676823394 the lambda is 0.41775830437154127 the regulation term lambda/alpha is 1.5678665470745383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3791570982354946 the lambda is 0.5496388710017885 the regulation term lambda/alpha is 1.4496336045393186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34941904112382977 the lambda is 0.5188440576259735 the regulation term lambda/alpha is 1.4848763134293579 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35132948201663655 the lambda is 0.550040759141826 the regulation term lambda/alpha is 1.5655980704624723 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.295062381083825 the lambda is 0.49653832524814023 the regulation term lambda/alpha is 1.6828249112077676 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2740110403257569 the lambda is 0.41312805817268505 the regulation term lambda/alpha is 1.5077058854327163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37486773210664665 the lambda is 0.5405932325694573 the regulation term lambda/alpha is 1.442090599613581 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3369391525031127 the lambda is 0.5327846490386421 the regulation term lambda/alpha is 1.5812488548172512 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3097741450794007 the lambda is 0.4986945097274943 the regulation term lambda/alpha is 1.60986485686102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2689544164834421 the lambda is 0.5047747652508449 the regulation term lambda/alpha is 1.8768041508696356 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3219817685322687 the lambda is 0.4756995259429061 the regulation term lambda/alpha is 1.4774113705609764 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32359805705702827 the lambda is 0.5443267485311131 the regulation term lambda/alpha is 1.682107591997023 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28151043803628134 the lambda is 0.4517840357153479 the regulation term lambda/alpha is 1.6048571373297411 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28234800576658564 the lambda is 0.5074505870024003 the regulation term lambda/alpha is 1.7972522441752423 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2785565322072189 the lambda is 0.4825947087012164 the regulation term lambda/alpha is 1.7324839050703469 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3145529789503905 the lambda is 0.5466299168041976 the regulation term lambda/alpha is 1.7377992051711229 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33760509772160063 the lambda is 0.5559398109445518 the regulation term lambda/alpha is 1.646716280934231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323937342165771 the lambda is 0.5432947556905993 the regulation term lambda/alpha is 1.6771600089642482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3286037370453235 the lambda is 0.5252880968035257 the regulation term lambda/alpha is 1.5985457180941132 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27856020178618857 the lambda is 0.4543528659908794 the regulation term lambda/alpha is 1.6310760226244454 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31863649728240145 the lambda is 0.5190100641758497 the regulation term lambda/alpha is 1.6288468791315547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37179060469383723 the lambda is 0.5282737742089852 the regulation term lambda/alpha is 1.4208905968562844 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3475445434894568 the lambda is 0.4992335738112526 the regulation term lambda/alpha is 1.4364592486441885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.364155243497376 the lambda is 0.5563819671381391 the regulation term lambda/alpha is 1.5278702615802051 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2803128247622587 the lambda is 0.5712627714875071 the regulation term lambda/alpha is 2.0379473253569875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.275771353151154 the lambda is 0.5166044294028654 the regulation term lambda/alpha is 1.873307083929445 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3405075649498423 the lambda is 0.48815692270272154 the regulation term lambda/alpha is 1.4336154991875978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2633601839909379 the lambda is 0.473003322363705 the regulation term lambda/alpha is 1.796032016669539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33695430729082093 the lambda is 0.5974385588540745 the regulation term lambda/alpha is 1.7730551173469136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33185002881130404 the lambda is 0.4782212774730086 the regulation term lambda/alpha is 1.4410764982784856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33211664541221986 the lambda is 0.532495651377429 the regulation term lambda/alpha is 1.6033392446093775 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3359045548432529 the lambda is 0.49464806524141797 the regulation term lambda/alpha is 1.4725851677487418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4090486564318627 the lambda is 0.5935640634944481 the regulation term lambda/alpha is 1.4510842516196385 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29298793071815543 the lambda is 0.5650508868726605 the regulation term lambda/alpha is 1.9285807626533957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30934410357380393 the lambda is 0.5990930402564225 the regulation term lambda/alpha is 1.9366557608022734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28097594338015913 the lambda is 0.4823117335337117 the regulation term lambda/alpha is 1.7165588189916536 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3992924893488355 the lambda is 0.5386489491417717 the regulation term lambda/alpha is 1.3490084675026024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.392890723705329 the lambda is 0.536996950630501 the regulation term lambda/alpha is 1.3667844981579478 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28179453693432804 the lambda is 0.4987161304536705 the regulation term lambda/alpha is 1.7697863694564664 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2995339400588335 the lambda is 0.5289130234481856 the regulation term lambda/alpha is 1.76578661952064 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39020021632758517 the lambda is 0.48804675333600456 the regulation term lambda/alpha is 1.2507598225580536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37577060531066225 the lambda is 0.5600695315167034 the regulation term lambda/alpha is 1.4904559420066266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34549299388893157 the lambda is 0.5698972722624696 the regulation term lambda/alpha is 1.6495190418989483 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4081523290073046 the lambda is 0.5971767466062504 the regulation term lambda/alpha is 1.4631222319830568 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34692481282581655 the lambda is 0.462243470799396 the regulation term lambda/alpha is 1.3324024506470755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3489740801645531 the lambda is 0.5621482742951006 the regulation term lambda/alpha is 1.610859677687319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34888720341549223 the lambda is 0.5423744928840455 the regulation term lambda/alpha is 1.5545840821170156 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30108070411283633 the lambda is 0.47017261760942186 the regulation term lambda/alpha is 1.5616165738512913 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2937883914855314 the lambda is 0.47429924642920535 the regulation term lambda/alpha is 1.6144247362223088 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38883950396354605 the lambda is 0.5370736583911945 the regulation term lambda/alpha is 1.3812219512592154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38950318512515547 the lambda is 0.5409283835168475 the regulation term lambda/alpha is 1.3887649810695024 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2723460238571467 the lambda is 0.5269353057566025 the regulation term lambda/alpha is 1.9348008033816393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3562568480805564 the lambda is 0.431600697110855 the regulation term lambda/alpha is 1.2114874406940859 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32032953535465053 the lambda is 0.5053118083790346 the regulation term lambda/alpha is 1.5774749206924745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2620398962229007 the lambda is 0.49531274344199305 the regulation term lambda/alpha is 1.8902188200405252 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2545710455213985 the lambda is 0.49801450140801923 the regulation term lambda/alpha is 1.9562888638337215 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33829155411629536 the lambda is 0.49802889595176403 the regulation term lambda/alpha is 1.4721883827479634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2553487062944854 the lambda is 0.5029738400454992 the regulation term lambda/alpha is 1.969752842473522 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3755097171189118 the lambda is 0.511301349550754 the regulation term lambda/alpha is 1.3616194900992173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973741049050169 the lambda is 0.49941350530453454 the regulation term lambda/alpha is 1.6794115461534562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3191844761395572 the lambda is 0.5239305341099747 the regulation term lambda/alpha is 1.6414662155464488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26861938921090694 the lambda is 0.4489782327490163 the regulation term lambda/alpha is 1.6714289838418936 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36265930203666324 the lambda is 0.4814135107236078 the regulation term lambda/alpha is 1.3274539161687875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3429868559352369 the lambda is 0.5437626690204197 the regulation term lambda/alpha is 1.5853746568151097 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28548675388890526 the lambda is 0.4618150840490398 the regulation term lambda/alpha is 1.617641021021771 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32901476281813075 the lambda is 0.5503503923715966 the regulation term lambda/alpha is 1.6727224871542112 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2803771469728683 the lambda is 0.4976620324550927 the regulation term lambda/alpha is 1.774973594774651 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3153616905181938 the lambda is 0.4842802144733516 the regulation term lambda/alpha is 1.5356342543623338 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27034311132362426 the lambda is 0.5676939445750715 the regulation term lambda/alpha is 2.0999016464506557 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4562248765785742 the lambda is 0.5339042283649663 the regulation term lambda/alpha is 1.170265489179246 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34235420518766774 the lambda is 0.5392441971751036 the regulation term lambda/alpha is 1.5751061006524136 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.326726012573279 the lambda is 0.5146679419428789 the regulation term lambda/alpha is 1.5752279345295404 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30666563455395884 the lambda is 0.5001344870331866 the regulation term lambda/alpha is 1.630878816143275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3621725214748856 the lambda is 0.4994265657942774 the regulation term lambda/alpha is 1.378974207541887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33095951874366103 the lambda is 0.4679786778704691 the regulation term lambda/alpha is 1.414005796379387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34390738361456114 the lambda is 0.41360218348186173 the regulation term lambda/alpha is 1.2026557241510465 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3192977255933402 the lambda is 0.45926071447321526 the regulation term lambda/alpha is 1.4383463384206279 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27128671549575606 the lambda is 0.43980105363674127 the regulation term lambda/alpha is 1.6211669371020911 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3095010104999793 the lambda is 0.49011997532356144 the regulation term lambda/alpha is 1.5835811796924464 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3239493679832312 the lambda is 0.526187613499307 the regulation term lambda/alpha is 1.6242896745720596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2383612410259366 the lambda is 0.4955982164053709 the regulation term lambda/alpha is 2.0791896126746705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2986005911563277 the lambda is 0.4741989119553738 the regulation term lambda/alpha is 1.588070908095136 370 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3109307053027148 the lambda is 0.49360389578338976 the regulation term lambda/alpha is 1.5875045061980244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2735713805742206 the lambda is 0.46630058992847845 the regulation term lambda/alpha is 1.704493317063076 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3492282095921345 the lambda is 0.5078669898272802 the regulation term lambda/alpha is 1.454255343290912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3183528236008251 the lambda is 0.5016914894408904 the regulation term lambda/alpha is 1.5758977217992234 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3327889586530439 the lambda is 0.5004377075428039 the regulation term lambda/alpha is 1.5037689638752278 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32151913748837424 the lambda is 0.5132527362712023 the regulation term lambda/alpha is 1.596336505131863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37759532421875225 the lambda is 0.618772030861397 the regulation term lambda/alpha is 1.6387174076947093 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3723373151896273 the lambda is 0.5553823424095429 the regulation term lambda/alpha is 1.491610751199333 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2914361944834031 the lambda is 0.5388657914603447 the regulation term lambda/alpha is 1.8490009191052366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2918791282353253 the lambda is 0.5691883676326636 the regulation term lambda/alpha is 1.9500824573306244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100840971772046 the lambda is 0.5757704465566043 the regulation term lambda/alpha is 1.8568203006798094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31990975090285007 the lambda is 0.4657648051936777 the regulation term lambda/alpha is 1.4559256286474394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3203987436723171 the lambda is 0.5229702506913653 the regulation term lambda/alpha is 1.6322481314915052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.355511258602828 the lambda is 0.46187743487936217 the regulation term lambda/alpha is 1.2991921456849413 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3147341416555279 the lambda is 0.5761686931913181 the regulation term lambda/alpha is 1.830652023198445 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34931597957162835 the lambda is 0.44734162061170857 the regulation term lambda/alpha is 1.2806216914562298 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2953938733904702 the lambda is 0.47131864804933243 the regulation term lambda/alpha is 1.5955599980447592 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3733730525430835 the lambda is 0.542766447725003 the regulation term lambda/alpha is 1.4536840407419955 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26166192793897536 the lambda is 0.5171237621579573 the regulation term lambda/alpha is 1.9763049452060928 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31535258084972284 the lambda is 0.49522009409374884 the regulation term lambda/alpha is 1.570369561458384 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33818866347639887 the lambda is 0.46014171673369275 the regulation term lambda/alpha is 1.360606567954353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2956043328400029 the lambda is 0.498878595778706 the regulation term lambda/alpha is 1.687656574535821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35126837232110397 the lambda is 0.5192864792247468 the regulation term lambda/alpha is 1.4783183461505978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3018370905386265 the lambda is 0.46975699781392816 the regulation term lambda/alpha is 1.556326285068709 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38535113693150486 the lambda is 0.5221023976985881 the regulation term lambda/alpha is 1.3548744188378778 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25920643710371855 the lambda is 0.5109542543984816 the regulation term lambda/alpha is 1.9712251752221301 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2753785181766021 the lambda is 0.4716027778518706 the regulation term lambda/alpha is 1.7125619709720008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3836223094522395 the lambda is 0.5271576748561082 the regulation term lambda/alpha is 1.3741580243568672 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.24327464252915104 the lambda is 0.5207352856287742 the regulation term lambda/alpha is 2.1405243070755957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2986172537580254 the lambda is 0.47655239349876066 the regulation term lambda/alpha is 1.5958635594610322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32731984601560393 the lambda is 0.5058695623458216 the regulation term lambda/alpha is 1.5454900413270567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3125624461254151 the lambda is 0.4848321953177427 the regulation term lambda/alpha is 1.5511530618211398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32123303058461145 the lambda is 0.5173816072619025 the regulation term lambda/alpha is 1.6106114813919372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2907348883558383 the lambda is 0.5382993361301355 the regulation term lambda/alpha is 1.8515126931422705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3575523434351341 the lambda is 0.478373626260819 the regulation term lambda/alpha is 1.3379121548048358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3179434649424478 the lambda is 0.4567696547013043 the regulation term lambda/alpha is 1.4366379720494837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2877708044137633 the lambda is 0.5858298825332876 the regulation term lambda/alpha is 2.035751624375933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36308002123148414 the lambda is 0.5336773826131285 the regulation term lambda/alpha is 1.4698616046209791 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31699438662117685 the lambda is 0.48860817040336924 the regulation term lambda/alpha is 1.541377989722193 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35776602585089956 the lambda is 0.5274429856914317 the regulation term lambda/alpha is 1.4742679505047405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3163347051145737 the lambda is 0.5026588134754008 the regulation term lambda/alpha is 1.5890093794588303 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2781157581239633 the lambda is 0.3969908470420159 the regulation term lambda/alpha is 1.427430253215163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31196571646440874 the lambda is 0.5344895164130378 the regulation term lambda/alpha is 1.7132956866881113 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2917290158929179 the lambda is 0.5073792489815482 the regulation term lambda/alpha is 1.7392142068164618 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37478832997081724 the lambda is 0.5360875889177147 the regulation term lambda/alpha is 1.4303742834240782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3725129089536415 the lambda is 0.5388060869286267 the regulation term lambda/alpha is 1.44640916858986 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3554610951036371 the lambda is 0.5125087129233212 the regulation term lambda/alpha is 1.441813801799873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33013082545712 the lambda is 0.604431866495964 the regulation term lambda/alpha is 1.8308858788300955 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2888884336098281 the lambda is 0.48894327184927505 the regulation term lambda/alpha is 1.6924986083369489 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.250808840919188 the lambda is 0.42874695512643674 the regulation term lambda/alpha is 1.7094571050810023 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.277624637244975 the lambda is 0.47033961628328064 the regulation term lambda/alpha is 1.694156617189038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33210893618700205 the lambda is 0.47112828177189037 the regulation term lambda/alpha is 1.418595618597297 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30675604926432753 the lambda is 0.4509804858294968 the regulation term lambda/alpha is 1.4701600405633501 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.296105717703987 the lambda is 0.5548373036222383 the regulation term lambda/alpha is 1.873781120893119 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3069452713478537 the lambda is 0.5186015888386187 the regulation term lambda/alpha is 1.6895571857528309 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3048870838582369 the lambda is 0.5054841132583432 the regulation term lambda/alpha is 1.6579387583810463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30316697929479747 the lambda is 0.4971741599235335 the regulation term lambda/alpha is 1.6399350650919169 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3274270870069922 the lambda is 0.48813389197281554 the regulation term lambda/alpha is 1.4908170745274703 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25792708212355736 the lambda is 0.45459313662979883 the regulation term lambda/alpha is 1.7624870288418593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36830623260741346 the lambda is 0.5044263777066552 the regulation term lambda/alpha is 1.369584147777199 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2798334815229 the lambda is 0.47393260228377715 the regulation term lambda/alpha is 1.693623649695375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29951062176609583 the lambda is 0.5449314853519573 the regulation term lambda/alpha is 1.8194062105000204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3164544316591735 the lambda is 0.47008102221936576 the regulation term lambda/alpha is 1.485461966055355 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36922086913194846 the lambda is 0.4949025226425859 the regulation term lambda/alpha is 1.340396938575329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3179189334662559 the lambda is 0.48707173398564185 the regulation term lambda/alpha is 1.5320626823798147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31978119428784185 the lambda is 0.5397192909123191 the regulation term lambda/alpha is 1.6877768316372797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38954135757871333 the lambda is 0.5889432050323916 the regulation term lambda/alpha is 1.5118887727175048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2963939940491667 the lambda is 0.5713046259363384 the regulation term lambda/alpha is 1.9275175523346422 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38797916382727177 the lambda is 0.5416768974956603 the regulation term lambda/alpha is 1.3961494533681058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3528435326557879 the lambda is 0.5561076673210216 the regulation term lambda/alpha is 1.5760744235137376 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30259185883178785 the lambda is 0.5171452575509997 the regulation term lambda/alpha is 1.7090521190739736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33230809357907226 the lambda is 0.6149500527788071 the regulation term lambda/alpha is 1.8505419057224393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35226196310803815 the lambda is 0.5761672072695245 the regulation term lambda/alpha is 1.6356214056889673 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3395758155514898 the lambda is 0.5721199799282766 the regulation term lambda/alpha is 1.684807791741948 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35654605830245933 the lambda is 0.47036310843237156 the regulation term lambda/alpha is 1.3192211706723198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41457710206377457 the lambda is 0.5433594439278788 the regulation term lambda/alpha is 1.3106354432577745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3201721126454246 the lambda is 0.5008377169879655 the regulation term lambda/alpha is 1.5642765163080254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35428977572031567 the lambda is 0.49026881617574275 the regulation term lambda/alpha is 1.3838074078738642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29704422346016635 the lambda is 0.5227342483296684 the regulation term lambda/alpha is 1.7597859410983197 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28332260869493386 the lambda is 0.42492570015237835 the regulation term lambda/alpha is 1.4997945349639035 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3712392878418773 the lambda is 0.5887184483556523 the regulation term lambda/alpha is 1.5858193559686127 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3498213435160705 the lambda is 0.5016046595621569 the regulation term lambda/alpha is 1.4338880941926107 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27195995212954294 the lambda is 0.45527071158426596 the regulation term lambda/alpha is 1.6740358571890264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32194668265387427 the lambda is 0.47632679753797147 the regulation term lambda/alpha is 1.4795207504904522 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29110062435602024 the lambda is 0.4298726908918686 the regulation term lambda/alpha is 1.476715111287869 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3242264966812341 the lambda is 0.4424798631114224 the regulation term lambda/alpha is 1.3647245602707483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.23920292065343582 the lambda is 0.4932209633648568 the regulation term lambda/alpha is 2.061935372768503 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26914562326228636 the lambda is 0.4414960123025673 the regulation term lambda/alpha is 1.6403611061968597 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29273260454072264 the lambda is 0.4666380138550169 the regulation term lambda/alpha is 1.594075981345296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3738647671361966 the lambda is 0.5425291886698692 the regulation term lambda/alpha is 1.4511375137744105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023407990326555 the lambda is 0.5131745137338195 the regulation term lambda/alpha is 1.697337955630633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32241846179843936 the lambda is 0.5483796897841983 the regulation term lambda/alpha is 1.7008321630385392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34574050478288165 the lambda is 0.5407126315145162 the regulation term lambda/alpha is 1.5639261932994322 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3463149589698748 the lambda is 0.4921377344162703 the regulation term lambda/alpha is 1.4210698142527545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29416410994625997 the lambda is 0.4707920446807422 the regulation term lambda/alpha is 1.600440124278757 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34218801663972354 the lambda is 0.4767283839585871 the regulation term lambda/alpha is 1.393176735526995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2846243151874585 the lambda is 0.5401103126234804 the regulation term lambda/alpha is 1.8976253390992066 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26295558089722104 the lambda is 0.49021036677786434 the regulation term lambda/alpha is 1.8642326019673574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33513701386745276 the lambda is 0.5802255066142294 the regulation term lambda/alpha is 1.7313083383971117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28662599084454415 the lambda is 0.47100893879535344 the regulation term lambda/alpha is 1.6432876076852783 380 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3272597948773194 the lambda is 0.5031049401523787 the regulation term lambda/alpha is 1.5373258433440589 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26925798538990675 the lambda is 0.4667264086286054 the regulation term lambda/alpha is 1.7333800071063774 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.339716550893156 the lambda is 0.4959480390859517 the regulation term lambda/alpha is 1.4598877734453743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32158187543755745 the lambda is 0.5108879852572781 the regulation term lambda/alpha is 1.5886715772216422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879223435385429 the lambda is 0.49805789368830145 the regulation term lambda/alpha is 1.7298341197394034 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3539686189756742 the lambda is 0.4912045979928285 the regulation term lambda/alpha is 1.3877066261249151 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33406831089977534 the lambda is 0.5696290608655145 the regulation term lambda/alpha is 1.7051274912346004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3028587135555592 the lambda is 0.49551525697572163 the regulation term lambda/alpha is 1.6361267970743716 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2739436306893354 the lambda is 0.47684417226635173 the regulation term lambda/alpha is 1.7406653006184136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3984908778603587 the lambda is 0.5106748520455364 the regulation term lambda/alpha is 1.281522063409667 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35416346257879994 the lambda is 0.5433539048927211 the regulation term lambda/alpha is 1.5341896110241102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2963902292362507 the lambda is 0.5370928311661963 the regulation term lambda/alpha is 1.8121138222072875 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30887010576775 the lambda is 0.4353288236205666 the regulation term lambda/alpha is 1.409423623365821 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3442700856441874 the lambda is 0.5143017430718743 the regulation term lambda/alpha is 1.493890304496044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29169941154909307 the lambda is 0.491815016275139 the regulation term lambda/alpha is 1.6860336250365264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38436783010195447 the lambda is 0.6108164898029861 the regulation term lambda/alpha is 1.5891457139921559 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30337639302534014 the lambda is 0.48805331234889 the regulation term lambda/alpha is 1.60873859525426 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2948215420046585 the lambda is 0.5491672455726685 the regulation term lambda/alpha is 1.8627107159082394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3131806986417072 the lambda is 0.5352274131627814 the regulation term lambda/alpha is 1.7090051062664804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25848118887861316 the lambda is 0.45168119254073413 the regulation term lambda/alpha is 1.7474431872597536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31533823643255593 the lambda is 0.5041852203186377 the regulation term lambda/alpha is 1.598871186769233 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32374691201010286 the lambda is 0.48459357821074495 the regulation term lambda/alpha is 1.4968284182294307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3134206182146649 the lambda is 0.4735112318077812 the regulation term lambda/alpha is 1.5107852013854068 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3564438676504263 the lambda is 0.5139651387725643 the regulation term lambda/alpha is 1.4419244807337328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29968364146380655 the lambda is 0.515893281411451 the regulation term lambda/alpha is 1.7214595995015514 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3609024091620308 the lambda is 0.4802025269492867 the regulation term lambda/alpha is 1.330560602419517 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26866990180559264 the lambda is 0.49618836011038303 the regulation term lambda/alpha is 1.846832699813993 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3238056695462738 the lambda is 0.5346777796404211 the regulation term lambda/alpha is 1.6512304444503012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3892467562008007 the lambda is 0.6100500748978348 the regulation term lambda/alpha is 1.5672579544455558 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28595819300695713 the lambda is 0.49221766472639594 the regulation term lambda/alpha is 1.7212924013491044 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3062130433414525 the lambda is 0.5604245238163078 the regulation term lambda/alpha is 1.8301784852168717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2532815186694797 the lambda is 0.5179444370954555 the regulation term lambda/alpha is 2.0449357687694074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159321432027247 the lambda is 0.4762890060916696 the regulation term lambda/alpha is 1.5075674202167153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30575131059310795 the lambda is 0.43399045002809333 the regulation term lambda/alpha is 1.4194230245038761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31257106978432375 the lambda is 0.46564564208477277 the regulation term lambda/alpha is 1.4897272559679677 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3150772183854439 the lambda is 0.47881147817120423 the regulation term lambda/alpha is 1.51966391167469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2993545948034716 the lambda is 0.5317228792224385 the regulation term lambda/alpha is 1.7762308929031752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38337015067190366 the lambda is 0.5110824377455658 the regulation term lambda/alpha is 1.3331304924231335 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25631220435381386 the lambda is 0.4592340671705078 the regulation term lambda/alpha is 1.7916980126961892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29261223208788917 the lambda is 0.4872612957934233 the regulation term lambda/alpha is 1.6652116431245747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28735713438338967 the lambda is 0.4952737644601072 the regulation term lambda/alpha is 1.7235478267239286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28292853890954367 the lambda is 0.4383511573604368 the regulation term lambda/alpha is 1.5493352457476337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3574140669861148 the lambda is 0.5430324783716443 the regulation term lambda/alpha is 1.5193371736897545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31583945236043676 the lambda is 0.536993258834502 the regulation term lambda/alpha is 1.7002095679348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28629551624264266 the lambda is 0.5450442287535341 the regulation term lambda/alpha is 1.9037819240298384 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3471311479118992 the lambda is 0.5354130622773553 the regulation term lambda/alpha is 1.542394180119041 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2677093091574633 the lambda is 0.5251136991576248 the regulation term lambda/alpha is 1.9615070570771949 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3293165077300648 the lambda is 0.4702378415997164 the regulation term lambda/alpha is 1.4279206494718522 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322339017311801 the lambda is 0.510026870958127 the regulation term lambda/alpha is 1.5822684923828945 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.340081599948309 the lambda is 0.5126106885346741 the regulation term lambda/alpha is 1.5073167399018024 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2966179075161144 the lambda is 0.4236434346184675 the regulation term lambda/alpha is 1.4282463191992283 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40379440002967526 the lambda is 0.5501694388458606 the regulation term lambda/alpha is 1.3624989321432592 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3250594403247821 the lambda is 0.5433660668958454 the regulation term lambda/alpha is 1.6715898678498398 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30803766252373 the lambda is 0.4867042752829912 the regulation term lambda/alpha is 1.5800154802353021 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3189098873007036 the lambda is 0.5217134090576167 the regulation term lambda/alpha is 1.6359273570144517 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2801283643839507 the lambda is 0.45051228548674005 the regulation term lambda/alpha is 1.6082351620389894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3147857772120245 the lambda is 0.5277655741812607 the regulation term lambda/alpha is 1.676586467328806 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2782659635120486 the lambda is 0.4828903836574795 the regulation term lambda/alpha is 1.7353555482058478 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3841452789278101 the lambda is 0.5335511835155712 the regulation term lambda/alpha is 1.3889307321562527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4163621207563719 the lambda is 0.5814543494538834 the regulation term lambda/alpha is 1.396511162921357 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4244996186196389 the lambda is 0.5920249026995366 the regulation term lambda/alpha is 1.3946417775936897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3422902946122772 the lambda is 0.5052323311713313 the regulation term lambda/alpha is 1.4760346382114735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29011230114910447 the lambda is 0.4787139585787686 the regulation term lambda/alpha is 1.650098795130826 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3227230891676625 the lambda is 0.5014806433660909 the regulation term lambda/alpha is 1.5539038271462489 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336221887387377 the lambda is 0.506161494789449 the regulation term lambda/alpha is 1.5054388598035457 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31446534412995325 the lambda is 0.5144133964611529 the regulation term lambda/alpha is 1.6358349371833192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30895076783141534 the lambda is 0.507250368921219 the regulation term lambda/alpha is 1.6418485459081607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.345841015981406 the lambda is 0.49300459129912605 the regulation term lambda/alpha is 1.4255237768721807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2536150666266669 the lambda is 0.4750265223120926 the regulation term lambda/alpha is 1.8730216963464303 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2761073928467561 the lambda is 0.500119793189954 the regulation term lambda/alpha is 1.8113234420620106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3012269855541227 the lambda is 0.5155341267220369 the regulation term lambda/alpha is 1.711447351815725 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3681919967496396 the lambda is 0.46160784259742055 the regulation term lambda/alpha is 1.2537150363735394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3597056767811259 the lambda is 0.5442670945374642 the regulation term lambda/alpha is 1.5130900891192787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38557338958209925 the lambda is 0.5433292227912203 the regulation term lambda/alpha is 1.4091460600538421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3267671565642528 the lambda is 0.46812476961866334 the regulation term lambda/alpha is 1.4325943113154187 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34953444026612207 the lambda is 0.5713877216069035 the regulation term lambda/alpha is 1.634710791794568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36179126225167546 the lambda is 0.47151827875970675 the regulation term lambda/alpha is 1.303288188402132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2843148006836699 the lambda is 0.4696511603088196 the regulation term lambda/alpha is 1.65187024797684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30761706457051574 the lambda is 0.5324844778100079 the regulation term lambda/alpha is 1.7309978513495152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3740555829563573 the lambda is 0.5720577572409402 the regulation term lambda/alpha is 1.5293389092596024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3081245434757017 the lambda is 0.5377179302728842 the regulation term lambda/alpha is 1.7451317710927106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31869568593994546 the lambda is 0.531589396131423 the regulation term lambda/alpha is 1.6680156637940649 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.299437651149555 the lambda is 0.5314974163357272 the regulation term lambda/alpha is 1.7749852575161609 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28558416714592644 the lambda is 0.4896903812843881 the regulation term lambda/alpha is 1.7146972333174493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41010400461496044 the lambda is 0.6052768978425851 the regulation term lambda/alpha is 1.475910722722323 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.289272506865584 the lambda is 0.4441596035572124 the regulation term lambda/alpha is 1.5354366316035686 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.311851539780907 the lambda is 0.49118713488048726 the regulation term lambda/alpha is 1.5750672105886456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.319529780514191 the lambda is 0.4787317216682676 the regulation term lambda/alpha is 1.498238195193847 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3423137322218356 the lambda is 0.4972492027989831 the regulation term lambda/alpha is 1.4526124896349235 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34511632444929097 the lambda is 0.5240413796712315 the regulation term lambda/alpha is 1.5184485419733618 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2691511645901267 the lambda is 0.44176689551886666 the regulation term lambda/alpha is 1.6413337694139483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3257398786188844 the lambda is 0.5608339740005428 the regulation term lambda/alpha is 1.7217234081944213 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2623719001569705 the lambda is 0.5002817858993552 the regulation term lambda/alpha is 1.9067658754616987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2562105053855805 the lambda is 0.5140501549500591 the regulation term lambda/alpha is 2.006358615843821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31492355454009313 the lambda is 0.5315571357996813 the regulation term lambda/alpha is 1.6878925953187425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26352306121828767 the lambda is 0.4643817572561049 the regulation term lambda/alpha is 1.7622053838826546 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27424422436116236 the lambda is 0.46205804111621257 the regulation term lambda/alpha is 1.684841466370177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30846710470673794 the lambda is 0.5012424421166978 the regulation term lambda/alpha is 1.6249461756813026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419179365193149 the lambda is 0.572239479363339 the regulation term lambda/alpha is 1.6736164390457862 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3296504456156958 the lambda is 0.5038194172364789 the regulation term lambda/alpha is 1.5283444143249487 390 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3139692505964766 the lambda is 0.4320929062392082 the regulation term lambda/alpha is 1.3762268292780935 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31549351419616445 the lambda is 0.49708443768759986 the regulation term lambda/alpha is 1.575577358393896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3176479670444322 the lambda is 0.53343470212064 the regulation term lambda/alpha is 1.6793266680848105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28898671635346557 the lambda is 0.4861517265759439 the regulation term lambda/alpha is 1.6822632289482877 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33219739059365966 the lambda is 0.4462502563157982 the regulation term lambda/alpha is 1.3433286020649295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37499328891844286 the lambda is 0.5542725781911892 the regulation term lambda/alpha is 1.4780866606701801 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3548963787511339 the lambda is 0.5103140474850653 the regulation term lambda/alpha is 1.4379240759819525 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3390581653355947 the lambda is 0.5006727090027706 the regulation term lambda/alpha is 1.4766572824082036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3186280215809437 the lambda is 0.5223372758416255 the regulation term lambda/alpha is 1.6393325146041238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34149571898953757 the lambda is 0.4387968007623492 the regulation term lambda/alpha is 1.2849262124301848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28276300461422105 the lambda is 0.5540280558016928 the regulation term lambda/alpha is 1.9593371366157457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3004660974513153 the lambda is 0.4774407524900841 the regulation term lambda/alpha is 1.5890004114938263 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4021292543478781 the lambda is 0.4661441118926843 the regulation term lambda/alpha is 1.1591897551662023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.276144538019044 the lambda is 0.4896799976415221 the regulation term lambda/alpha is 1.7732742467198532 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2839444667015022 the lambda is 0.5078730600508453 the regulation term lambda/alpha is 1.7886351720484448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38673378175650125 the lambda is 0.5823662780795444 the regulation term lambda/alpha is 1.5058583075791891 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3641595505551944 the lambda is 0.502191275363766 the regulation term lambda/alpha is 1.3790418913856017 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3455911472560368 the lambda is 0.5454693221925795 the regulation term lambda/alpha is 1.578366015806706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.255549045804669 the lambda is 0.4523388857122825 the regulation term lambda/alpha is 1.7700668155029287 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2927139605937118 the lambda is 0.4024365677346976 the regulation term lambda/alpha is 1.374845828734767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37137223035877714 the lambda is 0.5149566310289921 the regulation term lambda/alpha is 1.3866320336647149 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32225424793909113 the lambda is 0.5498556364348537 the regulation term lambda/alpha is 1.7062789395371483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32546713651251796 the lambda is 0.5380140008969843 the regulation term lambda/alpha is 1.653051692597822 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3014456821787354 the lambda is 0.4988490080299763 the regulation term lambda/alpha is 1.6548553770101608 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31113632796566515 the lambda is 0.5035347604441576 the regulation term lambda/alpha is 1.6183734112196766 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3200222468751913 the lambda is 0.479752156813743 the regulation term lambda/alpha is 1.4991212689061781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37284957014448955 the lambda is 0.514761267327825 the regulation term lambda/alpha is 1.3806138146500766 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31696419067127213 the lambda is 0.5726436253739097 the regulation term lambda/alpha is 1.8066508527703249 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3353861462404634 the lambda is 0.5473778714247108 the regulation term lambda/alpha is 1.6320825340002407 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3226193988623172 the lambda is 0.47229605750914017 the regulation term lambda/alpha is 1.463941905460867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24774837969767063 the lambda is 0.5068880684620451 the regulation term lambda/alpha is 2.045979348404235 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.274605419455335 the lambda is 0.42323201264814153 the regulation term lambda/alpha is 1.5412369263782169 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3242122594040437 the lambda is 0.4958660459940438 the regulation term lambda/alpha is 1.5294487842795597 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3535984762159127 the lambda is 0.4561011731231766 the regulation term lambda/alpha is 1.2898844418228606 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3625399300296062 the lambda is 0.4909941228464297 the regulation term lambda/alpha is 1.3543173652798286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211078521879883 the lambda is 0.48700444538753224 the regulation term lambda/alpha is 1.5166382325101846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3340585248059801 the lambda is 0.5251072823189933 the regulation term lambda/alpha is 1.571902057054145 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27246992665365727 the lambda is 0.4348953181688256 the regulation term lambda/alpha is 1.596122271217223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33808993819176775 the lambda is 0.46377697735147466 the regulation term lambda/alpha is 1.3717562250800142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3481918734829142 the lambda is 0.5340682873213335 the regulation term lambda/alpha is 1.5338332913376862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31340852114533424 the lambda is 0.533361326407271 the regulation term lambda/alpha is 1.70180863129736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3332768674972954 the lambda is 0.5382559103541057 the regulation term lambda/alpha is 1.615041315036585 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4787674737677674 the lambda is 0.49600066162296047 the regulation term lambda/alpha is 1.0359949010729002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37040256794773857 the lambda is 0.5342630283688463 the regulation term lambda/alpha is 1.4423847850974603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31040018864463137 the lambda is 0.5408201333289523 the regulation term lambda/alpha is 1.7423318448692129 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2893909290310008 the lambda is 0.4870775104131161 the regulation term lambda/alpha is 1.6831125704045073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36656141134408693 the lambda is 0.5921330822352019 the regulation term lambda/alpha is 1.6153721147678948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37687778862269367 the lambda is 0.5924522344403766 the regulation term lambda/alpha is 1.5720009306080454 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3571989028114377 the lambda is 0.5669903398091253 the regulation term lambda/alpha is 1.587323856110596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28719677042786795 the lambda is 0.4898508247084339 the regulation term lambda/alpha is 1.7056279009636854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33004274801408734 the lambda is 0.46284420037391083 the regulation term lambda/alpha is 1.402376519886918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4130921685763696 the lambda is 0.5840453544701314 the regulation term lambda/alpha is 1.413837876624275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3235169890380363 the lambda is 0.5032858943377645 the regulation term lambda/alpha is 1.5556706800290867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29854944783666115 the lambda is 0.474594242674544 the regulation term lambda/alpha is 1.5896671258765762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.297768136682531 the lambda is 0.5179279486780655 the regulation term lambda/alpha is 1.739366590557204 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26614071496555003 the lambda is 0.45868715654436176 the regulation term lambda/alpha is 1.7234760814546375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29836786742655913 the lambda is 0.4530327791920119 the regulation term lambda/alpha is 1.5183698670351033 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.4232686044597554 the lambda is 0.5483093069971519 the regulation term lambda/alpha is 1.2954169083648286 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3171238996774127 the lambda is 0.5079304949938889 the regulation term lambda/alpha is 1.6016783834664303 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27932806039187524 the lambda is 0.49610826134398117 the regulation term lambda/alpha is 1.7760774218242894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2869494003443139 the lambda is 0.4935875712199896 the regulation term lambda/alpha is 1.720120587907583 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32726509083274496 the lambda is 0.5320435854359549 the regulation term lambda/alpha is 1.6257266672780135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31776989472723055 the lambda is 0.48713095496103626 the regulation term lambda/alpha is 1.53296760657325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3463095895911402 the lambda is 0.5632399470449223 the regulation term lambda/alpha is 1.6264058633487286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2943225738685625 the lambda is 0.44872354081711396 the regulation term lambda/alpha is 1.5245977735214538 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30574702982247415 the lambda is 0.49152953265355265 the regulation term lambda/alpha is 1.6076346937497623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3294946002568325 the lambda is 0.4959491322866027 the regulation term lambda/alpha is 1.5051813653395933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3534599048562606 the lambda is 0.562912705123677 the regulation term lambda/alpha is 1.5925786698567501 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073538689180977 the lambda is 0.43848326647137237 the regulation term lambda/alpha is 1.426639814279408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3234181132156983 the lambda is 0.45452065541811615 the regulation term lambda/alpha is 1.4053654908158506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3232848437188201 the lambda is 0.5685854552864399 the regulation term lambda/alpha is 1.7587754772103459 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2979971596734577 the lambda is 0.5634159509820287 the regulation term lambda/alpha is 1.8906755742216277 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3297527812586707 the lambda is 0.5047519544533638 the regulation term lambda/alpha is 1.5306980960910141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3602267773567434 the lambda is 0.4719245451947985 the regulation term lambda/alpha is 1.310076248794346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31179579685487324 the lambda is 0.45438417429261707 the regulation term lambda/alpha is 1.4573133405775582 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879767686704529 the lambda is 0.4985999220055732 the regulation term lambda/alpha is 1.7313893905662492 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38284870001268645 the lambda is 0.4874540834766629 the regulation term lambda/alpha is 1.2732290418134113 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28207735500559256 the lambda is 0.43480143782898284 the regulation term lambda/alpha is 1.5414262439477366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33519641891444446 the lambda is 0.4783619014885859 the regulation term lambda/alpha is 1.4271092246086408 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.353833409111206 the lambda is 0.46023807461109273 the regulation term lambda/alpha is 1.3007196685218747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3658090439607721 the lambda is 0.621049875918853 the regulation term lambda/alpha is 1.6977433613846133 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2643246062127509 the lambda is 0.47858652087494646 the regulation term lambda/alpha is 1.8106014711688982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3281268847957537 the lambda is 0.5162349640561793 the regulation term lambda/alpha is 1.5732784723736235 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3148128045315238 the lambda is 0.5604933804501994 the regulation term lambda/alpha is 1.7804021068465603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4143349876721929 the lambda is 0.5297618658595622 the regulation term lambda/alpha is 1.2785834689844995 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.223127146257373 the lambda is 0.45783503837474726 the regulation term lambda/alpha is 2.0519020032042317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.295572174216296 the lambda is 0.47433043327757557 the regulation term lambda/alpha is 1.6047871709684909 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3134595339781971 the lambda is 0.5136547190001092 the regulation term lambda/alpha is 1.638663570002745 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30748470001944384 the lambda is 0.5447362048764847 the regulation term lambda/alpha is 1.771588000450228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33353590670463656 the lambda is 0.5215875956514331 the regulation term lambda/alpha is 1.563812426688219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3255808258917633 the lambda is 0.5035495625444542 the regulation term lambda/alpha is 1.5466192186386771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3361493896036769 the lambda is 0.5124942294364583 the regulation term lambda/alpha is 1.5246025882739025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3230016429461658 the lambda is 0.48759055455245065 the regulation term lambda/alpha is 1.5095606019369896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2847388872386011 the lambda is 0.5318433540941447 the regulation term lambda/alpha is 1.8678283084265863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34385347893104024 the lambda is 0.5523205771013222 the regulation term lambda/alpha is 1.606267235737609 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3385565383754833 the lambda is 0.43198632407699294 the regulation term lambda/alpha is 1.2759650903504023 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2939555627699489 the lambda is 0.4794645269671912 the regulation term lambda/alpha is 1.631078257030375 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3176148248849334 the lambda is 0.4703891407825874 the regulation term lambda/alpha is 1.4810049907242258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3357622211888957 the lambda is 0.5020223970404611 the regulation term lambda/alpha is 1.495172373064656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32958469123638423 the lambda is 0.5142018201435617 the regulation term lambda/alpha is 1.5601508013452199 400 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28460647530541994 the lambda is 0.4371262879142577 the regulation term lambda/alpha is 1.5358971978594798 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40381416231371725 the lambda is 0.5191161182049565 the regulation term lambda/alpha is 1.2855322241067486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25884394055753374 the lambda is 0.4762986635553726 the regulation term lambda/alpha is 1.8400997239087573 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28712015341989783 the lambda is 0.46716241172654593 the regulation term lambda/alpha is 1.6270624202521442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.319137515152609 the lambda is 0.49358850439156077 the regulation term lambda/alpha is 1.5466326613326256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3830364321985043 the lambda is 0.5920260824745359 the regulation term lambda/alpha is 1.5456129827559721 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295011605918012 the lambda is 0.5224693166478757 the regulation term lambda/alpha is 1.5856372575729132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3395217599137274 the lambda is 0.4353886834620372 the regulation term lambda/alpha is 1.2823587023484728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2879934757697741 the lambda is 0.4603055993039971 the regulation term lambda/alpha is 1.5983195385716713 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37666692321780704 the lambda is 0.4723362430475412 the regulation term lambda/alpha is 1.253989171686343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3497210179236449 the lambda is 0.5215868979909734 the regulation term lambda/alpha is 1.4914370920218818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38656755295787204 the lambda is 0.5083092433783765 the regulation term lambda/alpha is 1.31492992489665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2868761769059832 the lambda is 0.4665731733882522 the regulation term lambda/alpha is 1.6263921892028015 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3480902871144531 the lambda is 0.47072736481340427 the regulation term lambda/alpha is 1.3523139893260732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34308245520424235 the lambda is 0.5436183981313583 the regulation term lambda/alpha is 1.5845123814557458 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3267038165387136 the lambda is 0.5158346638450577 the regulation term lambda/alpha is 1.5789061459706963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32748855103829627 the lambda is 0.4237482425110338 the regulation term lambda/alpha is 1.2939329975583818 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30238158936118015 the lambda is 0.45987735974706856 the regulation term lambda/alpha is 1.520851056833911 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30693831343251554 the lambda is 0.5295106049305581 the regulation term lambda/alpha is 1.725136881769496 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3093320082461826 the lambda is 0.5133689650602616 the regulation term lambda/alpha is 1.6596050566215435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.270534503649136 the lambda is 0.44911416542297034 the regulation term lambda/alpha is 1.6600993934786206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3014934219556726 the lambda is 0.4621405612702113 the regulation term lambda/alpha is 1.5328379580306666 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3203690675754072 the lambda is 0.5162043517383031 the regulation term lambda/alpha is 1.611280251383199 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26597374157056236 the lambda is 0.4960339378243052 the regulation term lambda/alpha is 1.8649733424632382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3571392583072444 the lambda is 0.5407905474186447 the regulation term lambda/alpha is 1.5142287912616048 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3318284223026583 the lambda is 0.47861250278655654 the regulation term lambda/alpha is 1.4423493306128476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41031358526162787 the lambda is 0.5538092590509328 the regulation term lambda/alpha is 1.3497219661830304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28699558344531384 the lambda is 0.5710445212238687 the regulation term lambda/alpha is 1.9897327839286405 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3533111109791242 the lambda is 0.5552058526119701 the regulation term lambda/alpha is 1.5714361517625044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36470699054359873 the lambda is 0.4833181836721536 the regulation term lambda/alpha is 1.325223251004221 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33536058521566686 the lambda is 0.5500958011826358 the regulation term lambda/alpha is 1.6403114302441801 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30500031401002103 the lambda is 0.4435164825884014 the regulation term lambda/alpha is 1.4541509048211316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32926962154769385 the lambda is 0.48771651788422543 the regulation term lambda/alpha is 1.4812071505162554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3689012395956509 the lambda is 0.5347245532056251 the regulation term lambda/alpha is 1.4495059810363649 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.316215240851986 the lambda is 0.4791662339947641 the regulation term lambda/alpha is 1.5153166960066047 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2888723180047893 the lambda is 0.49816724925105216 the regulation term lambda/alpha is 1.7245240135567192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3029997866045517 the lambda is 0.45936316150692563 the regulation term lambda/alpha is 1.5160511056941617 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3232937100643769 the lambda is 0.5182115512664482 the regulation term lambda/alpha is 1.6029125687699204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34601422632048945 the lambda is 0.5370774905914207 the regulation term lambda/alpha is 1.5521832622395195 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35934816206235576 the lambda is 0.4989519791708523 the regulation term lambda/alpha is 1.388491807798009 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2859719806079043 the lambda is 0.5460876370065322 the regulation term lambda/alpha is 1.9095844139893972 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34495705764660073 the lambda is 0.5406528419609079 the regulation term lambda/alpha is 1.5673047701919822 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30235396758626787 the lambda is 0.4599700758842864 the regulation term lambda/alpha is 1.5212966429919508 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3121362055365946 the lambda is 0.48560841962585816 the regulation term lambda/alpha is 1.5557580665499755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33759979715747 the lambda is 0.460422752932332 the regulation term lambda/alpha is 1.3638122913846789 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32814312069421453 the lambda is 0.526683785561856 the regulation term lambda/alpha is 1.6050428984999348 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3236022431575096 the lambda is 0.5362633191900881 the regulation term lambda/alpha is 1.6571681146507635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3417052510477445 the lambda is 0.5534208641933385 the regulation term lambda/alpha is 1.6195854833849543 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34428070612280864 the lambda is 0.4895746082714376 the regulation term lambda/alpha is 1.422021622369977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3452421594496845 the lambda is 0.5509515898215926 the regulation term lambda/alpha is 1.5958409908564142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29548865247552736 the lambda is 0.48438334636507074 the regulation term lambda/alpha is 1.6392620911396516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30077826179868156 the lambda is 0.5377388419115192 the regulation term lambda/alpha is 1.7878248205032894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33499267424153106 the lambda is 0.5244720160736932 the regulation term lambda/alpha is 1.5656223446114728 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26806189472106756 the lambda is 0.46341289406383673 the regulation term lambda/alpha is 1.7287533334271254 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31419833864482477 the lambda is 0.5047858873412115 the regulation term lambda/alpha is 1.606583566031615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32094998370662997 the lambda is 0.5592678157287296 the regulation term lambda/alpha is 1.7425388506638415 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30892051661099657 the lambda is 0.4875628787026397 the regulation term lambda/alpha is 1.5782793711839989 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301064936159767 the lambda is 0.5184953748759354 the regulation term lambda/alpha is 1.5706912311731664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308066661839951 the lambda is 0.5706132260801725 the regulation term lambda/alpha is 1.8522394558117474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3048154038350108 the lambda is 0.4558797955999709 the regulation term lambda/alpha is 1.4955930371771091 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3002075426131029 the lambda is 0.555870887051153 the regulation term lambda/alpha is 1.8516219886171885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3306820949552961 the lambda is 0.5144388674951788 the regulation term lambda/alpha is 1.5556901185252385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31411505330622175 the lambda is 0.5181537787155751 the regulation term lambda/alpha is 1.6495668490310837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36078630423010044 the lambda is 0.4697672748447716 the regulation term lambda/alpha is 1.3020651541838069 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32341144873526273 the lambda is 0.45364581403904775 the regulation term lambda/alpha is 1.4026894094599351 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30804348084894717 the lambda is 0.5261865704232536 the regulation term lambda/alpha is 1.7081568127107207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3662579178297661 the lambda is 0.5835139606074595 the regulation term lambda/alpha is 1.5931777367845803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29954767448778724 the lambda is 0.47963122996777463 the regulation term lambda/alpha is 1.601184955910347 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27367757458468744 the lambda is 0.5085596205795575 the regulation term lambda/alpha is 1.858243669951071 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2712614433912893 the lambda is 0.48383540737957753 the regulation term lambda/alpha is 1.7836497562303921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087615627252828 the lambda is 0.555135375792347 the regulation term lambda/alpha is 1.7979419811599817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3280004905728112 the lambda is 0.5417014188221074 the regulation term lambda/alpha is 1.6515262458177873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31964932970212856 the lambda is 0.5132107602956846 the regulation term lambda/alpha is 1.6055430517371334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31158519713104715 the lambda is 0.4949122024642932 the regulation term lambda/alpha is 1.5883687897282937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30023765491223536 the lambda is 0.48432551812318947 the regulation term lambda/alpha is 1.6131404912044298 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3220072751366483 the lambda is 0.5627270818562818 the regulation term lambda/alpha is 1.7475601494328994 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3805284751446069 the lambda is 0.5427270793471489 the regulation term lambda/alpha is 1.4262456420400706 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3523484818543669 the lambda is 0.47472425322845696 the regulation term lambda/alpha is 1.3473145981218406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2994333354836267 the lambda is 0.450625298957718 the regulation term lambda/alpha is 1.5049269588835028 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29696556361813126 the lambda is 0.48694692906093795 the regulation term lambda/alpha is 1.6397420735526904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30241168535407953 the lambda is 0.49802139981628146 the regulation term lambda/alpha is 1.646832526438824 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282419343632497 the lambda is 0.569090661562777 the regulation term lambda/alpha is 1.7337536797872737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30126099402629075 the lambda is 0.531948330450552 the regulation term lambda/alpha is 1.7657391464496377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2860876627224785 the lambda is 0.5641888796981394 the regulation term lambda/alpha is 1.9720839211631265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3007718678991971 the lambda is 0.482591809865807 the regulation term lambda/alpha is 1.604511130766879 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3152573646093016 the lambda is 0.46037363298450923 the regulation term lambda/alpha is 1.4603104785674086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090674782849017 the lambda is 0.47225963105495145 the regulation term lambda/alpha is 1.528014638342561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27843835596482985 the lambda is 0.5044883957819964 the regulation term lambda/alpha is 1.8118494990888376 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909838021466596 the lambda is 0.5201095187679691 the regulation term lambda/alpha is 1.7874174264374592 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3082216599073281 the lambda is 0.4693553829012963 the regulation term lambda/alpha is 1.5227852028388131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32189232289085296 the lambda is 0.4982001824346584 the regulation term lambda/alpha is 1.5477230956004744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31091939279102293 the lambda is 0.5791029482673237 the regulation term lambda/alpha is 1.862550106858577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28256565290441893 the lambda is 0.5207112975938945 the regulation term lambda/alpha is 1.8427975666597773 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3071283438058374 the lambda is 0.49160138532553255 the regulation term lambda/alpha is 1.6006382844180498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29728013712629625 the lambda is 0.4848825046770226 the regulation term lambda/alpha is 1.631062570692456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491825413880913 the lambda is 0.5675298151147898 the regulation term lambda/alpha is 1.6253098246513455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37233140968999967 the lambda is 0.5238278545190501 the regulation term lambda/alpha is 1.40688601844036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.325029084188546 the lambda is 0.5105635762111193 the regulation term lambda/alpha is 1.5708242771128342 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2716318156079106 the lambda is 0.5204515540426479 the regulation term lambda/alpha is 1.9160183901060337 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26863954564631826 the lambda is 0.5030777080271219 the regulation term lambda/alpha is 1.8726867141498855 410 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2954073579350481 the lambda is 0.45326733137849234 the regulation term lambda/alpha is 1.5343806415213033 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2632234138754702 the lambda is 0.5446279061563671 the regulation term lambda/alpha is 2.0690709011700155 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38657765025438084 the lambda is 0.5331679406270519 the regulation term lambda/alpha is 1.3792001174310253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3642383536801142 the lambda is 0.5091302263308087 the regulation term lambda/alpha is 1.3977941125275983 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37648798817874146 the lambda is 0.5292440060721701 the regulation term lambda/alpha is 1.4057394198215594 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3293616061339118 the lambda is 0.48032388917569646 the regulation term lambda/alpha is 1.45834815057468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3169923578522924 the lambda is 0.5599748031750711 the regulation term lambda/alpha is 1.766524615826859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3025312125436746 the lambda is 0.43787851809896433 the regulation term lambda/alpha is 1.4473829474231539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2698176561265023 the lambda is 0.40336386426021004 the regulation term lambda/alpha is 1.4949498489123907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073059830986944 the lambda is 0.522063850470014 the regulation term lambda/alpha is 1.698840501593319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3064423985103672 the lambda is 0.47249641304612056 the regulation term lambda/alpha is 1.5418767616457474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.326561940320128 the lambda is 0.5079541487206286 the regulation term lambda/alpha is 1.555460346122032 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30634398627288745 the lambda is 0.5122628393855603 the regulation term lambda/alpha is 1.672181803266224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3310250374634134 the lambda is 0.5114720256904159 the regulation term lambda/alpha is 1.5451158305418107 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31154324190946675 the lambda is 0.5262702944436569 the regulation term lambda/alpha is 1.689236753197134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33549003104448666 the lambda is 0.47717422983617575 the regulation term lambda/alpha is 1.4223201457002503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159544467610077 the lambda is 0.4807320693600983 the regulation term lambda/alpha is 1.5215233534083814 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3052844213558278 the lambda is 0.4575483118016577 the regulation term lambda/alpha is 1.4987607614224017 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32788779257228445 the lambda is 0.49079923235502054 the regulation term lambda/alpha is 1.4968511895630316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24942400736687678 the lambda is 0.4670029820270552 the regulation term lambda/alpha is 1.8723257113744562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28002596813496256 the lambda is 0.5196748496969269 the regulation term lambda/alpha is 1.8558094920913266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33888689395688065 the lambda is 0.49892505321185077 the regulation term lambda/alpha is 1.4722465285875974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2912281622766756 the lambda is 0.5223566852093363 the regulation term lambda/alpha is 1.7936338337810944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3405525954156776 the lambda is 0.48749747352979866 the regulation term lambda/alpha is 1.4314895264115093 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28361172624333403 the lambda is 0.4962052323517769 the regulation term lambda/alpha is 1.7495934985637416 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2599982521520081 the lambda is 0.5437015908063543 the regulation term lambda/alpha is 2.0911740225410393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2692715896928411 the lambda is 0.4833246385601262 the regulation term lambda/alpha is 1.7949336545732733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32085468552403384 the lambda is 0.47355232959387283 the regulation term lambda/alpha is 1.4759090359564067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29503772460308175 the lambda is 0.5434971356614834 the regulation term lambda/alpha is 1.8421276004370541 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38906833904989757 the lambda is 0.5256017852052601 the regulation term lambda/alpha is 1.3509240728473983 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2816791509763189 the lambda is 0.43601822257269385 the regulation term lambda/alpha is 1.5479250809349052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33328305137050884 the lambda is 0.5389766268831467 the regulation term lambda/alpha is 1.6171738246718388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.43286191391467305 the lambda is 0.6099366669999825 the regulation term lambda/alpha is 1.4090790790159813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28851281029669174 the lambda is 0.4099523101736694 the regulation term lambda/alpha is 1.4209154517336529 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31400631218222985 the lambda is 0.4508794574317281 the regulation term lambda/alpha is 1.4358929739287072 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32116160487179324 the lambda is 0.477387887028036 the regulation term lambda/alpha is 1.4864413422600993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2793447915575301 the lambda is 0.4730131104761679 the regulation term lambda/alpha is 1.6932948985331358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27899411713279987 the lambda is 0.5244642406927353 the regulation term lambda/alpha is 1.8798397832994194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3008001680988874 the lambda is 0.5481572361804455 the regulation term lambda/alpha is 1.822330218912112 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3212012970379741 the lambda is 0.5361813577697223 the regulation term lambda/alpha is 1.6693001015694282 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33603028852959144 the lambda is 0.4669224005190227 the regulation term lambda/alpha is 1.3895247436241291 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3801251122643333 the lambda is 0.49669008504299766 the regulation term lambda/alpha is 1.3066489664003225 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3071921111598487 the lambda is 0.45412693010599103 the regulation term lambda/alpha is 1.4783157301513001 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29045137697807105 the lambda is 0.5115576792165186 the regulation term lambda/alpha is 1.7612506593664419 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30982666092834577 the lambda is 0.45844364488387157 the regulation term lambda/alpha is 1.479677841507309 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351633886008105 the lambda is 0.5413498817895948 the regulation term lambda/alpha is 1.6151820282326792 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35041494400321593 the lambda is 0.4932989392855293 the regulation term lambda/alpha is 1.407756568969279 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37347130853009475 the lambda is 0.5300322969705419 the regulation term lambda/alpha is 1.419204862233296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30286483228050254 the lambda is 0.5789034267054131 the regulation term lambda/alpha is 1.9114250484164945 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33568070741595846 the lambda is 0.5921693694016246 the regulation term lambda/alpha is 1.7640852045388429 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33266363320748615 the lambda is 0.5118258480179013 the regulation term lambda/alpha is 1.5385686829755436 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2940847923361865 the lambda is 0.4907953087351021 the regulation term lambda/alpha is 1.6688904748738032 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26533148916362786 the lambda is 0.45759310639660117 the regulation term lambda/alpha is 1.7246091213636805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3071998205901197 the lambda is 0.46449072765187716 the regulation term lambda/alpha is 1.512014970450202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2658242628446713 the lambda is 0.519272048664589 the regulation term lambda/alpha is 1.9534411310227706 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29930003496244884 the lambda is 0.4758322579056507 the regulation term lambda/alpha is 1.589816913871561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36811239615418584 the lambda is 0.5651465720198605 the regulation term lambda/alpha is 1.53525547611047 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34194824161041565 the lambda is 0.49835713115718266 the regulation term lambda/alpha is 1.4574051581904752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2880149450045965 the lambda is 0.45637512287974974 the regulation term lambda/alpha is 1.5845536170786774 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38701543802208715 the lambda is 0.4800295853447766 the regulation term lambda/alpha is 1.240337046496272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27529671190909677 the lambda is 0.45097933167701393 the regulation term lambda/alpha is 1.6381573486643304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3531801710044061 the lambda is 0.5504734049452685 the regulation term lambda/alpha is 1.5586192264978578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3020032326001489 the lambda is 0.4885199978114651 the regulation term lambda/alpha is 1.6175985720598682 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34712089479181835 the lambda is 0.5337232045809006 the regulation term lambda/alpha is 1.5375715279283166 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27546347642787783 the lambda is 0.43741069434593294 the regulation term lambda/alpha is 1.587908132207343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2882394201856503 the lambda is 0.4953673624906433 the regulation term lambda/alpha is 1.7185968601088126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3903659178708614 the lambda is 0.5362408974710002 the regulation term lambda/alpha is 1.3736877963008962 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2707149270310161 the lambda is 0.49815743191409684 the regulation term lambda/alpha is 1.8401550198117538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3330487735686745 the lambda is 0.5466859437034053 the regulation term lambda/alpha is 1.641459110764985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2726330624419046 the lambda is 0.46692679719168334 the regulation term lambda/alpha is 1.712656539194254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3549552115629214 the lambda is 0.5032882088895531 the regulation term lambda/alpha is 1.417892152290141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3329721227421065 the lambda is 0.4709138183620033 the regulation term lambda/alpha is 1.4142740073370508 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30350690872427777 the lambda is 0.5231796733647088 the regulation term lambda/alpha is 1.723781760236614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33153228929507134 the lambda is 0.49257744900093275 the regulation term lambda/alpha is 1.4857601051417575 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32758064763623523 the lambda is 0.4821468090583362 the regulation term lambda/alpha is 1.4718415527212105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3158352132107779 the lambda is 0.5122943276653148 the regulation term lambda/alpha is 1.622030433077222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3929751949452522 the lambda is 0.6372558100884542 the regulation term lambda/alpha is 1.6216184081980907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36316738734219467 the lambda is 0.4890482168951155 the regulation term lambda/alpha is 1.346619310930333 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2577324063593168 the lambda is 0.4854886226483264 the regulation term lambda/alpha is 1.8836925845152896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38586904053698473 the lambda is 0.5450593122855055 the regulation term lambda/alpha is 1.4125499976027818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3495744651893473 the lambda is 0.5778021103791698 the regulation term lambda/alpha is 1.6528727579292808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3342510937650821 the lambda is 0.4835329910837635 the regulation term lambda/alpha is 1.4466160323879134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31055181910549884 the lambda is 0.5013795559405764 the regulation term lambda/alpha is 1.6144795331894375 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2844873673351248 the lambda is 0.41009336996359486 the regulation term lambda/alpha is 1.4415169777310595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4757161117251143 the lambda is 0.6179593098671488 the regulation term lambda/alpha is 1.2990085780912706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34052746659183153 the lambda is 0.4565412553891163 the regulation term lambda/alpha is 1.3406884911763757 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3718540228302262 the lambda is 0.5721922537214408 the regulation term lambda/alpha is 1.5387550452363428 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34240777402201006 the lambda is 0.43782477432670874 the regulation term lambda/alpha is 1.2786648188033407 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32993539743684797 the lambda is 0.5177311095266098 the regulation term lambda/alpha is 1.5691893429704138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38153233085251653 the lambda is 0.5712889934748367 the regulation term lambda/alpha is 1.4973540832000205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37614416184038985 the lambda is 0.5258535100670926 the regulation term lambda/alpha is 1.3980105592871843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3267137226856512 the lambda is 0.6013167930846542 the regulation term lambda/alpha is 1.8405005707801672 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2933627402681009 the lambda is 0.5511811905531379 the regulation term lambda/alpha is 1.8788384307067068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3146315380756454 the lambda is 0.5374627518757192 the regulation term lambda/alpha is 1.7082291087630876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28111967236900787 the lambda is 0.461672764726547 the regulation term lambda/alpha is 1.642264167555441 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387918850619788 the lambda is 0.5562668763928795 the regulation term lambda/alpha is 1.641913224371108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2917219533103733 the lambda is 0.545069286874677 the regulation term lambda/alpha is 1.868454810100488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2904665551497752 the lambda is 0.5006667895445818 the regulation term lambda/alpha is 1.723664155711213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246869972751849 the lambda is 0.49668070125606967 the regulation term lambda/alpha is 1.529721563919338 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34200762541001556 the lambda is 0.4851237165327396 the regulation term lambda/alpha is 1.418458772523418 420 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3441456688984997 the lambda is 0.5253321039133958 the regulation term lambda/alpha is 1.5264818110157132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33016880570204205 the lambda is 0.5429126364818542 the regulation term lambda/alpha is 1.6443486698492071 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30507570835917436 the lambda is 0.5158154567411882 the regulation term lambda/alpha is 1.6907785267973678 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28539894371649294 the lambda is 0.48485986544537396 the regulation term lambda/alpha is 1.6988845828631367 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32722340545845174 the lambda is 0.4966444303178864 the regulation term lambda/alpha is 1.517753382042063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3338826490926168 the lambda is 0.43993410297883645 the regulation term lambda/alpha is 1.3176309226443261 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3543886282408392 the lambda is 0.5012554489788553 the regulation term lambda/alpha is 1.4144230628027001 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28337771885235474 the lambda is 0.45743038882917275 the regulation term lambda/alpha is 1.6142073225859468 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2953417376611737 the lambda is 0.45352859477976076 the regulation term lambda/alpha is 1.5356061705713415 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206162622614978 the lambda is 0.46146733672945167 the regulation term lambda/alpha is 1.439313569044961 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30781743118184596 the lambda is 0.4635365030153489 the regulation term lambda/alpha is 1.5058812661636125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491217976307129 the lambda is 0.5849338321310358 the regulation term lambda/alpha is 1.6754434587030727 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3231247102847574 the lambda is 0.5092615504208324 the regulation term lambda/alpha is 1.5760526329665092 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26491978287478946 the lambda is 0.5110053086280754 the regulation term lambda/alpha is 1.9289058109699369 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989910725676083 the lambda is 0.5636227182354399 the regulation term lambda/alpha is 1.885082097586685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099628657408169 the lambda is 0.4853233217464881 the regulation term lambda/alpha is 1.5657466599637881 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427341647633722 the lambda is 0.5019839001643479 the regulation term lambda/alpha is 1.464645056645939 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057858719991404 the lambda is 0.5654752590569253 the regulation term lambda/alpha is 1.8492524045012613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33704944595186365 the lambda is 0.534430458029397 the regulation term lambda/alpha is 1.5856144089485396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37522456355606776 the lambda is 0.4970846449382841 the regulation term lambda/alpha is 1.3247657355566687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2788658155743659 the lambda is 0.5266653463921284 the regulation term lambda/alpha is 1.8885977304438775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2766282706084387 the lambda is 0.4861870325273017 the regulation term lambda/alpha is 1.7575464411426296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196272167725927 the lambda is 0.5458989082358826 the regulation term lambda/alpha is 1.7079237298627072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28072467375621013 the lambda is 0.47579877275488924 the regulation term lambda/alpha is 1.694894739349087 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3202375690256806 the lambda is 0.5098856170100625 the regulation term lambda/alpha is 1.5922104909845027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3177391779569484 the lambda is 0.5863720358015009 the regulation term lambda/alpha is 1.8454508492526864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2868338877502602 the lambda is 0.6088802422777396 the regulation term lambda/alpha is 2.1227625754174415 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3385927450853096 the lambda is 0.5573290909789383 the regulation term lambda/alpha is 1.646016044550858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31775803774878325 the lambda is 0.5484086136234955 the regulation term lambda/alpha is 1.725868580725132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3835139044339427 the lambda is 0.4675382448199652 the regulation term lambda/alpha is 1.2190907276492111 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28888668984112004 the lambda is 0.4457336388774808 the regulation term lambda/alpha is 1.542935879540253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34097870470054836 the lambda is 0.5400671598990171 the regulation term lambda/alpha is 1.583873574665933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28600210900205425 the lambda is 0.5743552057973149 the regulation term lambda/alpha is 2.0082201764225087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33104868303662743 the lambda is 0.5224422365280087 the regulation term lambda/alpha is 1.5781432257508947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29582176703981494 the lambda is 0.5292062180019267 the regulation term lambda/alpha is 1.7889360316433385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2999723408690772 the lambda is 0.5489365843647528 the regulation term lambda/alpha is 1.8299573313138757 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3142999234160984 the lambda is 0.4820990749758179 the regulation term lambda/alpha is 1.5338822540455153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30443828822606245 the lambda is 0.5039694827369307 the regulation term lambda/alpha is 1.6554076876253658 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171878180479212 the lambda is 0.497743662549584 the regulation term lambda/alpha is 1.5692395301082598 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3280719274141719 the lambda is 0.5722189661478361 the regulation term lambda/alpha is 1.7441875342947055 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.42007471829923076 the lambda is 0.5039050142179842 the regulation term lambda/alpha is 1.199560440719117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28502194605761794 the lambda is 0.46930477339495447 the regulation term lambda/alpha is 1.6465566244505372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2676255646717758 the lambda is 0.5972061598416168 the regulation term lambda/alpha is 2.231498924902966 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2979401376002194 the lambda is 0.4687445961751461 the regulation term lambda/alpha is 1.5732844857718185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211761951108768 the lambda is 0.5356920416639673 the regulation term lambda/alpha is 1.6679070548146793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3296357618357241 the lambda is 0.49630623880108776 the regulation term lambda/alpha is 1.5056201306471866 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3395476883971102 the lambda is 0.5024047651698806 the regulation term lambda/alpha is 1.479629466899226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28675127503621006 the lambda is 0.5528469430242926 the regulation term lambda/alpha is 1.927966817076858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.298687852795593 the lambda is 0.4874738925850141 the regulation term lambda/alpha is 1.6320512803666536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3451037949946285 the lambda is 0.5251338164048213 the regulation term lambda/alpha is 1.5216692021975444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2977861798877574 the lambda is 0.4786046670251967 the regulation term lambda/alpha is 1.6072091297372968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31273122374452766 the lambda is 0.5263013102779324 the regulation term lambda/alpha is 1.6829189742431079 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32533178436385113 the lambda is 0.5559557227372228 the regulation term lambda/alpha is 1.7088884316186022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3932091562310029 the lambda is 0.4578272520476374 the regulation term lambda/alpha is 1.1643351758031613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2689763310678548 the lambda is 0.5033317257209942 the regulation term lambda/alpha is 1.871286308809151 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31442765892030233 the lambda is 0.492394981023698 the regulation term lambda/alpha is 1.5660040300351086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32000891040550306 the lambda is 0.5067787699756289 the regulation term lambda/alpha is 1.5836395597030664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26873128052408146 the lambda is 0.47703850011593785 the regulation term lambda/alpha is 1.775150623275468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215568064546841 the lambda is 0.485604634711682 the regulation term lambda/alpha is 1.510167488182579 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26248351769370754 the lambda is 0.46720600816108687 the regulation term lambda/alpha is 1.7799441742710502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32105664045285437 the lambda is 0.5149268421645645 the regulation term lambda/alpha is 1.6038504652582604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2830329748465618 the lambda is 0.4819686015868805 the regulation term lambda/alpha is 1.7028708469328209 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33575681601388657 the lambda is 0.4729057571486159 the regulation term lambda/alpha is 1.4084770125085322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4223010386285211 the lambda is 0.5815638708963202 the regulation term lambda/alpha is 1.3771310456280819 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2965445770783215 the lambda is 0.4913615526744067 the regulation term lambda/alpha is 1.6569567972393957 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37466505919976045 the lambda is 0.5477255626908617 the regulation term lambda/alpha is 1.4619072401913797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27885099399937435 the lambda is 0.5429042277947953 the regulation term lambda/alpha is 1.9469330914273641 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2824315195264771 the lambda is 0.41300334891493046 the regulation term lambda/alpha is 1.4623132347528678 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3058394365931613 the lambda is 0.42191735870513947 the regulation term lambda/alpha is 1.379538765193284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30287582954092274 the lambda is 0.4388269265927551 the regulation term lambda/alpha is 1.4488674360641363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29328762356759663 the lambda is 0.49817120341677146 the regulation term lambda/alpha is 1.6985756076473286 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3694655569288959 the lambda is 0.4511962410347018 the regulation term lambda/alpha is 1.2212132702847185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34094183394387106 the lambda is 0.6027235472754541 the regulation term lambda/alpha is 1.7678192796214027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3685927317415271 the lambda is 0.4866988359953473 the regulation term lambda/alpha is 1.3204243982126083 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3255936235791128 the lambda is 0.5423126958481023 the regulation term lambda/alpha is 1.6656121513888646 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33234050493956024 the lambda is 0.5081799192031987 the regulation term lambda/alpha is 1.5290941418519444 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26307343003043376 the lambda is 0.4584577425545724 the regulation term lambda/alpha is 1.7426987685587843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27325689247366747 the lambda is 0.47994075160792926 the regulation term lambda/alpha is 1.7563719885095999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875238111538836 the lambda is 0.4771192962975645 the regulation term lambda/alpha is 1.6594079439292382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28151380211869265 the lambda is 0.49965101456686556 the regulation term lambda/alpha is 1.7748721760938786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3424991031625768 the lambda is 0.5067390528791516 the regulation term lambda/alpha is 1.4795339555637133 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3237694415715223 the lambda is 0.4858310751454066 the regulation term lambda/alpha is 1.5005464159534772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2404543260435549 the lambda is 0.4871104413570199 the regulation term lambda/alpha is 2.0257919637876958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30029052924633437 the lambda is 0.55863930123426 the regulation term lambda/alpha is 1.8603294037821516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.296256092707804 the lambda is 0.590270161711081 the regulation term lambda/alpha is 1.992432143136586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.332170726013345 the lambda is 0.5355536184588362 the regulation term lambda/alpha is 1.612284215669626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2758872660547723 the lambda is 0.517008017538074 the regulation term lambda/alpha is 1.8739828950112964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27607844342148213 the lambda is 0.47967813052719127 the regulation term lambda/alpha is 1.7374704253706565 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4029704676645999 the lambda is 0.6215520871168349 the regulation term lambda/alpha is 1.5424259021238367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3318171219316258 the lambda is 0.510103020401412 the regulation term lambda/alpha is 1.537301684228711 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3585129090081111 the lambda is 0.48581367825016525 the regulation term lambda/alpha is 1.355080015373098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35394196617337176 the lambda is 0.43519560384647105 the regulation term lambda/alpha is 1.229567684644942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30898090167715636 the lambda is 0.5502611836085611 the regulation term lambda/alpha is 1.7808906007514675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3232226898042531 the lambda is 0.5225956838295849 the regulation term lambda/alpha is 1.616828583866046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32501388881606236 the lambda is 0.5072077190673623 the regulation term lambda/alpha is 1.5605724448114595 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28348017150010035 the lambda is 0.4395376541503715 the regulation term lambda/alpha is 1.5505058143024861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34851130203276165 the lambda is 0.5712684305503525 the regulation term lambda/alpha is 1.6391675885927242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3093780164135698 the lambda is 0.5229628293792262 the regulation term lambda/alpha is 1.6903684219118558 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3434488099247312 the lambda is 0.5248735927232495 the regulation term lambda/alpha is 1.528244028093382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3482062433354514 the lambda is 0.4991084064878777 the regulation term lambda/alpha is 1.4333700674259642 430 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36442077283737007 the lambda is 0.5493648384161457 the regulation term lambda/alpha is 1.5075014361525174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3173693706607546 the lambda is 0.45203590008109873 the regulation term lambda/alpha is 1.4243211282171686 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35131735458379565 the lambda is 0.5317362365559526 the regulation term lambda/alpha is 1.513549585917549 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35020748381100014 the lambda is 0.528181714030544 the regulation term lambda/alpha is 1.5081965361870822 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31493773417647586 the lambda is 0.4879527227969342 the regulation term lambda/alpha is 1.5493625242236266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.307024063764063 the lambda is 0.5774571335435025 the regulation term lambda/alpha is 1.88082043623544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32378873268508257 the lambda is 0.49985099619139567 the regulation term lambda/alpha is 1.543756609583915 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.35171537494326066 the lambda is 0.4919743442027784 the regulation term lambda/alpha is 1.3987854363265881 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2866176289289981 the lambda is 0.5491834078351978 the regulation term lambda/alpha is 1.916083842739636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919935338780863 the lambda is 0.4989895049408855 the regulation term lambda/alpha is 1.7089060100530327 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3492597853840105 the lambda is 0.5906935974032744 the regulation term lambda/alpha is 1.6912728637046144 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31291886641713523 the lambda is 0.5140664750047708 the regulation term lambda/alpha is 1.6428107416172744 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36258195239229407 the lambda is 0.5228839589398191 the regulation term lambda/alpha is 1.4421124810263224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3547192218513861 the lambda is 0.5065113143428768 the regulation term lambda/alpha is 1.427921812917953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29802138060006145 the lambda is 0.5531467150415561 the regulation term lambda/alpha is 1.8560638633637752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28334955109440896 the lambda is 0.4651501284286905 the regulation term lambda/alpha is 1.6416123711228596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31109058697098424 the lambda is 0.5511771721878207 the regulation term lambda/alpha is 1.7717577942634104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2773047359979169 the lambda is 0.49255051121489885 the regulation term lambda/alpha is 1.7762066321817125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30600347643090947 the lambda is 0.4649594173428128 the regulation term lambda/alpha is 1.5194579576869383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2823078833296913 the lambda is 0.48687544828114265 the regulation term lambda/alpha is 1.7246257615574572 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3528106605564311 the lambda is 0.6106233914513431 the regulation term lambda/alpha is 1.730739628128883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3107321641116485 the lambda is 0.464330551881391 the regulation term lambda/alpha is 1.4943111962962206 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.265034619663522 the lambda is 0.42481280493891627 the regulation term lambda/alpha is 1.6028577907227466 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2685217235605831 the lambda is 0.47032596538504357 the regulation term lambda/alpha is 1.7515378612521453 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32204902343467645 the lambda is 0.47459392589489113 the regulation term lambda/alpha is 1.4736698184435155 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3554130804343438 the lambda is 0.5607919337818206 the regulation term lambda/alpha is 1.5778595798907769 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3369687036342827 the lambda is 0.49900480369667727 the regulation term lambda/alpha is 1.4808639446773515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3492730092852419 the lambda is 0.6034609505612264 the regulation term lambda/alpha is 1.7277629090096567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29173257379315226 the lambda is 0.47461917652964625 the regulation term lambda/alpha is 1.6268981223405188 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27116538026551884 the lambda is 0.5407011170771914 the regulation term lambda/alpha is 1.9939902230430353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3891051117198009 the lambda is 0.5448429380506024 the regulation term lambda/alpha is 1.4002461587884512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971875645905766 the lambda is 0.4660964257572628 the regulation term lambda/alpha is 1.5683577689375567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2598148991489964 the lambda is 0.5471212892432081 the regulation term lambda/alpha is 2.1058118338681173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3106796380052413 the lambda is 0.49939368872837847 the regulation term lambda/alpha is 1.6074232992377617 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3228483776457316 the lambda is 0.48839937212837076 the regulation term lambda/alpha is 1.5127824884543846 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.279362158134453 the lambda is 0.44800313017367666 the regulation term lambda/alpha is 1.6036643372366104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3816042132749179 the lambda is 0.6152009623783617 the regulation term lambda/alpha is 1.6121440512900063 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32902684620695793 the lambda is 0.42951119230544405 the regulation term lambda/alpha is 1.3053986240237718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28339074142717463 the lambda is 0.49422475175724134 the regulation term lambda/alpha is 1.7439692957797162 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31967727310128796 the lambda is 0.5656327032854523 the regulation term lambda/alpha is 1.7693866623613084 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38604748709161757 the lambda is 0.49149345019182195 the regulation term lambda/alpha is 1.273142467250874 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2878911241195622 the lambda is 0.5271359244743115 the regulation term lambda/alpha is 1.8310252741775743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30078317139391986 the lambda is 0.5293117559229117 the regulation term lambda/alpha is 1.7597784924931854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31200528739613587 the lambda is 0.4881009279962975 the regulation term lambda/alpha is 1.564399539731462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3026778872007337 the lambda is 0.45050434311213566 the regulation term lambda/alpha is 1.4883952946762993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33521335675614916 the lambda is 0.5199071268092339 the regulation term lambda/alpha is 1.5509737793277736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33345220595219854 the lambda is 0.5597095984163359 the regulation term lambda/alpha is 1.6785302014063512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33520045809244975 the lambda is 0.4981358089393303 the regulation term lambda/alpha is 1.4860833179468456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2909237098298723 the lambda is 0.4578934251698487 the regulation term lambda/alpha is 1.5739295550631391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29691989953040615 the lambda is 0.4952710657414994 the regulation term lambda/alpha is 1.6680292109919062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31913325403953313 the lambda is 0.45521994453160686 the regulation term lambda/alpha is 1.4264259169782907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2809473608445878 the lambda is 0.4556713852352885 the regulation term lambda/alpha is 1.621910182268461 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2646197079899038 the lambda is 0.48934109844577633 the regulation term lambda/alpha is 1.849223937865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3508657745339292 the lambda is 0.5575771596611216 the regulation term lambda/alpha is 1.58914661996251 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3342230126890407 the lambda is 0.5544965530792968 the regulation term lambda/alpha is 1.659061560776479 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3084048811122365 the lambda is 0.4684464182214763 the regulation term lambda/alpha is 1.5189332170491703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2983673754588329 the lambda is 0.4950574431058664 the regulation term lambda/alpha is 1.659221093943536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3962167004418402 the lambda is 0.5829683668829201 the regulation term lambda/alpha is 1.4713371905647192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31435945578188307 the lambda is 0.5498992708492596 the regulation term lambda/alpha is 1.7492690635996164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3296218418217937 the lambda is 0.5845765376227882 the regulation term lambda/alpha is 1.7734763400139995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973480319573708 the lambda is 0.5219164424740599 the regulation term lambda/alpha is 1.755237588217447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3279675784235926 the lambda is 0.5019854891818618 the regulation term lambda/alpha is 1.5305948581707463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3694632247339894 the lambda is 0.5322434549188887 the regulation term lambda/alpha is 1.4405857451769382 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.294139296047914 the lambda is 0.5384226935135424 the regulation term lambda/alpha is 1.8305024209544438 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3519941896580093 the lambda is 0.521298481723089 the regulation term lambda/alpha is 1.4809860419274887 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2697521075186054 the lambda is 0.45728552044514253 the regulation term lambda/alpha is 1.6952064792064787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3599788369591268 the lambda is 0.5578630994840709 the regulation term lambda/alpha is 1.5497108224376326 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28214470840098693 the lambda is 0.5147412428424135 the regulation term lambda/alpha is 1.824387371145937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3047946959528068 the lambda is 0.49017264669617727 the regulation term lambda/alpha is 1.6082059602903118 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30614579802684255 the lambda is 0.5023470762748998 the regulation term lambda/alpha is 1.6408752937737676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3255209699568203 the lambda is 0.5236099149859503 the regulation term lambda/alpha is 1.608528983725399 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3576599448679719 the lambda is 0.44516271961731024 the regulation term lambda/alpha is 1.2446535487266808 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33168543557164326 the lambda is 0.5775832420169682 the regulation term lambda/alpha is 1.7413584682171297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3261578147404628 the lambda is 0.5144221572261761 the regulation term lambda/alpha is 1.5772185548751085 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282364632072875 the lambda is 0.44263694363965284 the regulation term lambda/alpha is 1.3485306882560433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35293752035849646 the lambda is 0.4682729933522251 the regulation term lambda/alpha is 1.3267872253326214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37369211531714214 the lambda is 0.564086369647003 the regulation term lambda/alpha is 1.5094949733372847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27951937212511563 the lambda is 0.49126618346192186 the regulation term lambda/alpha is 1.757538948828299 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3114929160808529 the lambda is 0.4842489373909195 the regulation term lambda/alpha is 1.5546065813747914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3268255037097432 the lambda is 0.4952785871638854 the regulation term lambda/alpha is 1.5154220877564895 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31156140292068624 the lambda is 0.5409416958387997 the regulation term lambda/alpha is 1.7362282066001176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2984440332068146 the lambda is 0.47761423169154177 the regulation term lambda/alpha is 1.6003477320672934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875265274117064 the lambda is 0.493496829589601 the regulation term lambda/alpha is 1.7163523450584708 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28421634942613105 the lambda is 0.48861655405560916 the regulation term lambda/alpha is 1.7191711702799226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31888303416987734 the lambda is 0.46146520502137706 the regulation term lambda/alpha is 1.4471299993198836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3083794902045428 the lambda is 0.5304524237002767 the regulation term lambda/alpha is 1.7201287392635507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2784626713760743 the lambda is 0.47010940575083177 the regulation term lambda/alpha is 1.6882313289163682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3174078957253078 the lambda is 0.4924190958379099 the regulation term lambda/alpha is 1.5513763282815776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26681246997696795 the lambda is 0.49077098032678984 the regulation term lambda/alpha is 1.8393854693866245 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2633120625961719 the lambda is 0.501458020354648 the regulation term lambda/alpha is 1.9044247931919027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2682269719588789 the lambda is 0.5056314455378172 the regulation term lambda/alpha is 1.885087997844356 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28153468326373765 the lambda is 0.5261478110113272 the regulation term lambda/alpha is 1.868856102956379 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3487454430299896 the lambda is 0.578459096768398 the regulation term lambda/alpha is 1.6586857501064314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2656010847044581 the lambda is 0.4595254455241781 the regulation term lambda/alpha is 1.7301339188260665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.288735450111872 the lambda is 0.5022036167995328 the regulation term lambda/alpha is 1.7393209479644827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27801676379031226 the lambda is 0.46378196228546364 the regulation term lambda/alpha is 1.6681798462889112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2768407866753184 the lambda is 0.5323898956247404 the regulation term lambda/alpha is 1.9230905316315707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3043091702774536 the lambda is 0.484139217637012 the regulation term lambda/alpha is 1.5909452127111339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30786508583123984 the lambda is 0.5065647818667829 the regulation term lambda/alpha is 1.645411594819371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29579029725681066 the lambda is 0.605201646954922 the regulation term lambda/alpha is 2.046049693203677 440 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32740146003629955 the lambda is 0.4778963225587984 the regulation term lambda/alpha is 1.4596646041401684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2839067494262641 the lambda is 0.5316974895052377 the regulation term lambda/alpha is 1.872789183701071 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32479050192256564 the lambda is 0.5271524319425183 the regulation term lambda/alpha is 1.62305371869587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3275663137584342 the lambda is 0.5550075754912951 the regulation term lambda/alpha is 1.6943365424949919 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27238385786500896 the lambda is 0.480998207416061 the regulation term lambda/alpha is 1.765883673086235 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3094615282406649 the lambda is 0.5343250665467526 the regulation term lambda/alpha is 1.7266284102727423 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3754066511991224 the lambda is 0.47526641103034967 the regulation term lambda/alpha is 1.2660042370380375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3212406085075432 the lambda is 0.5207843766826087 the regulation term lambda/alpha is 1.621166075802586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32483114486707276 the lambda is 0.5650554751642625 the regulation term lambda/alpha is 1.7395360146130512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3505917520969452 the lambda is 0.5720115717092036 the regulation term lambda/alpha is 1.63156026429005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28915811143321 the lambda is 0.4901253965751557 the regulation term lambda/alpha is 1.6950082919889498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057265830073661 the lambda is 0.47555219190402603 the regulation term lambda/alpha is 1.5554819840202387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321658071600893 the lambda is 0.47232292749938226 the regulation term lambda/alpha is 1.468400668911027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3110639207929494 the lambda is 0.5300790507126444 the regulation term lambda/alpha is 1.7040840010033693 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2763851736925947 the lambda is 0.5018269639956854 the regulation term lambda/alpha is 1.8156797533352314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3199915218822999 the lambda is 0.47158977258403206 the regulation term lambda/alpha is 1.4737570852189434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2666597904221731 the lambda is 0.4622041371827106 the regulation term lambda/alpha is 1.7333102094281019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36716248104182164 the lambda is 0.5094491820858834 the regulation term lambda/alpha is 1.387530612170187 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33801823734215575 the lambda is 0.523455810943668 the regulation term lambda/alpha is 1.5486022738288077 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3398116457549705 the lambda is 0.4171705834515119 the regulation term lambda/alpha is 1.2276524029206548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980183018655505 the lambda is 0.5002646697871987 the regulation term lambda/alpha is 1.6786374080236546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36965595769093507 the lambda is 0.49838462847721454 the regulation term lambda/alpha is 1.348239134546583 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36155456789304846 the lambda is 0.5498776906870732 the regulation term lambda/alpha is 1.520870539380746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30085031949470137 the lambda is 0.55916146211643 the regulation term lambda/alpha is 1.8586035177080078 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32601367826381555 the lambda is 0.539561721875379 the regulation term lambda/alpha is 1.6550278649313508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3144612091585158 the lambda is 0.4809902357477765 the regulation term lambda/alpha is 1.5295693768871683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27110185045285456 the lambda is 0.5241151480219411 the regulation term lambda/alpha is 1.933277648774612 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31773017969916173 the lambda is 0.503895734037921 the regulation term lambda/alpha is 1.5859234225562944 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2927887167612202 the lambda is 0.427841118711398 the regulation term lambda/alpha is 1.4612623172235082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3018438266466975 the lambda is 0.5024174405416054 the regulation term lambda/alpha is 1.6644946697209597 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2937692796298118 the lambda is 0.5169060820746578 the regulation term lambda/alpha is 1.7595647942699384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.298662209065031 the lambda is 0.5706966179785464 the regulation term lambda/alpha is 1.9108430884681578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33583027881201444 the lambda is 0.5832875961996494 the regulation term lambda/alpha is 1.7368523120160722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36822264125085347 the lambda is 0.5759172397066278 the regulation term lambda/alpha is 1.5640462459077342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3571047676233322 the lambda is 0.5107909305113889 the regulation term lambda/alpha is 1.4303671550253907 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3448462355755448 the lambda is 0.4578865551422374 the regulation term lambda/alpha is 1.3277991983239414 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2993214308943884 the lambda is 0.466699090974177 the regulation term lambda/alpha is 1.5591903646179133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35458990960268216 the lambda is 0.47009665601585476 the regulation term lambda/alpha is 1.325747414929539 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2876261502415995 the lambda is 0.5412109727077362 the regulation term lambda/alpha is 1.881647312850835 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3374707144523453 the lambda is 0.5107103479515754 the regulation term lambda/alpha is 1.5133471619318646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2894563985571941 the lambda is 0.42879206614236887 the regulation term lambda/alpha is 1.4813701416852365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.332350614240967 the lambda is 0.5094866925450643 the regulation term lambda/alpha is 1.5329795424288484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295870349270384 the lambda is 0.5148024449184094 the regulation term lambda/alpha is 1.5619620627139434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3401310615160536 the lambda is 0.4918374575704845 the regulation term lambda/alpha is 1.4460233516404988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31630056401742157 the lambda is 0.47594448308173637 the regulation term lambda/alpha is 1.5047222080056795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33001106561227317 the lambda is 0.5665318367975231 the regulation term lambda/alpha is 1.7167055769673367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40811285698288463 the lambda is 0.4766283671145209 the regulation term lambda/alpha is 1.1678837335293988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36898843870345255 the lambda is 0.47192671390186935 the regulation term lambda/alpha is 1.2789742561043922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36351477504830343 the lambda is 0.5616847806182035 the regulation term lambda/alpha is 1.5451497963007623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3018000347335485 the lambda is 0.478850985974331 the regulation term lambda/alpha is 1.5866498703258807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3075230009591652 the lambda is 0.5016440790392653 the regulation term lambda/alpha is 1.6312408420659135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.305591378907066 the lambda is 0.5157715313182584 the regulation term lambda/alpha is 1.6877816814168396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3188142215526311 the lambda is 0.4827221003204672 the regulation term lambda/alpha is 1.51411721211683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28655409805738985 the lambda is 0.5231888394310027 the regulation term lambda/alpha is 1.8257943019409222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2610672232273743 the lambda is 0.44093215386894224 the regulation term lambda/alpha is 1.6889602165221487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197188908623262 the lambda is 0.4585178494714229 the regulation term lambda/alpha is 1.434128112463848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2866369955813157 the lambda is 0.4947899591080243 the regulation term lambda/alpha is 1.7261901524768735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3420198114786506 the lambda is 0.5336361718688922 the regulation term lambda/alpha is 1.5602493012373424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2962646478396895 the lambda is 0.5183147981102287 the regulation term lambda/alpha is 1.7494993138387942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36416085766790013 the lambda is 0.5110246881002336 the regulation term lambda/alpha is 1.4032938393567473 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215933009135914 the lambda is 0.4448530415161782 the regulation term lambda/alpha is 1.3832783215708382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3519356856603146 the lambda is 0.5219336181707125 the regulation term lambda/alpha is 1.4830369281576024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3571215933363508 the lambda is 0.5441965633417171 the regulation term lambda/alpha is 1.5238411048115255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3111875306157908 the lambda is 0.6112634475895881 the regulation term lambda/alpha is 1.9642928698974365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34784221498847623 the lambda is 0.5739554183815341 the regulation term lambda/alpha is 1.650045318393999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2739149604680083 the lambda is 0.5205609729037475 the regulation term lambda/alpha is 1.900447394382265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35437227137466215 the lambda is 0.4608453440136575 the regulation term lambda/alpha is 1.30045542848477 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3424331492051018 the lambda is 0.4989054447626853 the regulation term lambda/alpha is 1.456942605938725 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3521353279230672 the lambda is 0.5290656695152888 the regulation term lambda/alpha is 1.5024498468693164 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.23478154263223824 the lambda is 0.4607287536802082 the regulation term lambda/alpha is 1.9623721205456668 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398510605463478 the lambda is 0.5379580580108677 the regulation term lambda/alpha is 1.5829229932254478 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3966462153583744 the lambda is 0.5152184367427028 the regulation term lambda/alpha is 1.2989369790839855 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29608970007821744 the lambda is 0.46862804824625376 the regulation term lambda/alpha is 1.582723235973616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36261608237247395 the lambda is 0.49702096798805695 the regulation term lambda/alpha is 1.370653404935097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945148944805468 the lambda is 0.4918299895662158 the regulation term lambda/alpha is 1.6699664389934683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36367263579218356 the lambda is 0.5583644449751518 the regulation term lambda/alpha is 1.5353490750242276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38067426559877526 the lambda is 0.4711287728419561 the regulation term lambda/alpha is 1.2376165541447934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336463367593088 the lambda is 0.5755279306724335 the regulation term lambda/alpha is 1.7249640330612024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398506358619743 the lambda is 0.4811821982306596 the regulation term lambda/alpha is 1.4158637573539372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29675972713756715 the lambda is 0.48355280694352265 the regulation term lambda/alpha is 1.6294421470449896 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3225506722734557 the lambda is 0.526687446017561 the regulation term lambda/alpha is 1.6328828035151015 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29503406883654676 the lambda is 0.5209328857825728 the regulation term lambda/alpha is 1.765670276103528 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2774225048375893 the lambda is 0.48865590241066154 the regulation term lambda/alpha is 1.761414066593963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2853296201929175 the lambda is 0.5574480010681546 the regulation term lambda/alpha is 1.953698325085394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30709052695577344 the lambda is 0.5164990850977434 the regulation term lambda/alpha is 1.6819114878529895 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24598670366653747 the lambda is 0.5129719386084443 the regulation term lambda/alpha is 2.085364497195894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3027496264700896 the lambda is 0.5277381675004604 the regulation term lambda/alpha is 1.7431505156707396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2920087360499511 the lambda is 0.5199194152507522 the regulation term lambda/alpha is 1.7804926738966285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2699831514975729 the lambda is 0.4520944795344032 the regulation term lambda/alpha is 1.6745284919694976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35348680185982784 the lambda is 0.5446946168634725 the regulation term lambda/alpha is 1.5409192478973133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3342755854606211 the lambda is 0.4981774219820831 the regulation term lambda/alpha is 1.49031949580048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3652747639479643 the lambda is 0.5748499644425241 the regulation term lambda/alpha is 1.5737467276124641 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33100516339543645 the lambda is 0.48519700469398946 the regulation term lambda/alpha is 1.465829111899222 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37416242268084915 the lambda is 0.5482269601087559 the regulation term lambda/alpha is 1.465211167334084 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3204736324075193 the lambda is 0.5234742425475215 the regulation term lambda/alpha is 1.6334393522954906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33962215819204195 the lambda is 0.5045656295416542 the regulation term lambda/alpha is 1.4856675790168665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36852580362522647 the lambda is 0.49698678057558393 the regulation term lambda/alpha is 1.3485806846811634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35572838972893467 the lambda is 0.5025047259987534 the regulation term lambda/alpha is 1.4126078786730023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29871155539620853 the lambda is 0.494844152139565 the regulation term lambda/alpha is 1.656595277953703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33332421563856507 the lambda is 0.5198626221140855 the regulation term lambda/alpha is 1.5596305270475472 450 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.346315034069736 the lambda is 0.5325687944783023 the regulation term lambda/alpha is 1.5378159828055895 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2836421246791474 the lambda is 0.4985329452345532 the regulation term lambda/alpha is 1.7576125048368176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3918145507966512 the lambda is 0.48975385493231316 the regulation term lambda/alpha is 1.2499634174803573 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3056208843250887 the lambda is 0.46083379626086135 the regulation term lambda/alpha is 1.5078609476526244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2740706963843675 the lambda is 0.4846470409848299 the regulation term lambda/alpha is 1.768328564047365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28753302744055254 the lambda is 0.4519602968209065 the regulation term lambda/alpha is 1.5718552433575628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3296792166928507 the lambda is 0.4750306650950063 the regulation term lambda/alpha is 1.4408875083489836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2878783885115757 the lambda is 0.48526030031201817 the regulation term lambda/alpha is 1.6856433816410141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37177405058280616 the lambda is 0.5348520901304388 the regulation term lambda/alpha is 1.4386482577038007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2951061269616968 the lambda is 0.4381314087770291 the regulation term lambda/alpha is 1.4846571072172154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32369032423028715 the lambda is 0.4744176616267581 the regulation term lambda/alpha is 1.4656528975800867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3235433568212428 the lambda is 0.5047449974529337 the regulation term lambda/alpha is 1.5600536583781706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29076235957199004 the lambda is 0.519409898807456 the regulation term lambda/alpha is 1.7863725537653543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38783962462363475 the lambda is 0.557280645289162 the regulation term lambda/alpha is 1.436884242629812 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4070787206560325 the lambda is 0.4847217785684247 the regulation term lambda/alpha is 1.190732293221482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31063335572610473 the lambda is 0.6581614713832149 the regulation term lambda/alpha is 2.1187726921494443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32767854713595057 the lambda is 0.4719877271288381 the regulation term lambda/alpha is 1.4403986200934145 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32228350106637405 the lambda is 0.4952585035842512 the regulation term lambda/alpha is 1.5367169028061822 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28750418753776125 the lambda is 0.5201368967267436 the regulation term lambda/alpha is 1.8091454638671236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3150663873994719 the lambda is 0.4641384611414833 the regulation term lambda/alpha is 1.4731449615188665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30784450872682645 the lambda is 0.4740616742517077 the regulation term lambda/alpha is 1.539938705459834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3493553153284083 the lambda is 0.5524139237733771 the regulation term lambda/alpha is 1.58123806776515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25140134827137256 the lambda is 0.5063659368315429 the regulation term lambda/alpha is 2.0141735130431817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31747771749262593 the lambda is 0.5193840343852943 the regulation term lambda/alpha is 1.6359700406292548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159863184590668 the lambda is 0.5263469611887672 the regulation term lambda/alpha is 1.6657270598155687 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2866277132499299 the lambda is 0.5653768849726063 the regulation term lambda/alpha is 1.9725129805561274 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32996625653801737 the lambda is 0.45971359267012235 the regulation term lambda/alpha is 1.3932139531278285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3462307889255156 the lambda is 0.5749848286605101 the regulation term lambda/alpha is 1.6606981442779956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34324189212200157 the lambda is 0.5192178185063661 the regulation term lambda/alpha is 1.5126877878933722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34382243119084416 the lambda is 0.5022124346704228 the regulation term lambda/alpha is 1.4606738511242208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27800635539093377 the lambda is 0.5058215068240738 the regulation term lambda/alpha is 1.8194602282123562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2729296908484394 the lambda is 0.5349056310736712 the regulation term lambda/alpha is 1.9598660351347033 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31677492713564437 the lambda is 0.5335301394744815 the regulation term lambda/alpha is 1.684256214021704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3037768997776827 the lambda is 0.49520646570961985 the regulation term lambda/alpha is 1.6301649864490477 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33706496430489963 the lambda is 0.5320497926485697 the regulation term lambda/alpha is 1.5784784803895908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30072624962852434 the lambda is 0.5166110211122803 the regulation term lambda/alpha is 1.717878042739635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30971626538142366 the lambda is 0.49104247053188144 the regulation term lambda/alpha is 1.5854590973036233 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27643571275400486 the lambda is 0.5567020864422417 the regulation term lambda/alpha is 2.013857330140411 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3053430837164509 the lambda is 0.4588626026417207 the regulation term lambda/alpha is 1.5027771287848517 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517797320283888 the lambda is 0.47019425170382273 the regulation term lambda/alpha is 1.3366155264052502 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3245890682242231 the lambda is 0.4663352976457472 the regulation term lambda/alpha is 1.4366944031633473 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33920459977031264 the lambda is 0.47975857162404817 the regulation term lambda/alpha is 1.4143634017607944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3938190722068332 the lambda is 0.5451602646680588 the regulation term lambda/alpha is 1.3842911711034183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3187860928510858 the lambda is 0.44652382676399033 the regulation term lambda/alpha is 1.4007004595792532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3623787099280865 the lambda is 0.5065599344773698 the regulation term lambda/alpha is 1.3978744352224661 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35300152773063326 the lambda is 0.5601328950717621 the regulation term lambda/alpha is 1.5867718722712885 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2904612069609523 the lambda is 0.4300097502787223 the regulation term lambda/alpha is 1.480437800206931 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099640085948831 the lambda is 0.500207698451354 the regulation term lambda/alpha is 1.613760580523127 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3253838665427645 the lambda is 0.49324445569191433 the regulation term lambda/alpha is 1.5158847945741287 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31909384276713537 the lambda is 0.48096267416263944 the regulation term lambda/alpha is 1.5072765741632652 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32242887557447036 the lambda is 0.5216767597293425 the regulation term lambda/alpha is 1.6179591818501766 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29904618498206237 the lambda is 0.4760887819227136 the regulation term lambda/alpha is 1.592024261908811 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2754966611034728 the lambda is 0.5238518609144104 the regulation term lambda/alpha is 1.9014817051363782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33269214151429904 the lambda is 0.4729604252000086 the regulation term lambda/alpha is 1.4216158609796343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2787542816021868 the lambda is 0.5106803993902411 the regulation term lambda/alpha is 1.8320091675543788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30067146668542405 the lambda is 0.4956511853971569 the regulation term lambda/alpha is 1.64848095118959 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3239212820184561 the lambda is 0.46804750899688097 the regulation term lambda/alpha is 1.4449421355717311 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28525326339416635 the lambda is 0.4628453214613895 the regulation term lambda/alpha is 1.6225767795049706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.288141022208204 the lambda is 0.4485896257249925 the regulation term lambda/alpha is 1.5568405438669268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29485790494324016 the lambda is 0.553663451793943 the regulation term lambda/alpha is 1.8777297217129814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3247521225666602 the lambda is 0.540799342962803 the regulation term lambda/alpha is 1.6652680779685924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.285922553466746 the lambda is 0.4237875043158512 the regulation term lambda/alpha is 1.4821758520883506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29352187786193634 the lambda is 0.455901962815112 the regulation term lambda/alpha is 1.553212885308516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30563209153319754 the lambda is 0.41838869835579257 the regulation term lambda/alpha is 1.3689292124297343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2784482826706689 the lambda is 0.5066215754558245 the regulation term lambda/alpha is 1.8194458611728075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32951147517348794 the lambda is 0.5639022270627144 the regulation term lambda/alpha is 1.7113280402930418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33509734785322165 the lambda is 0.5683133842958029 the regulation term lambda/alpha is 1.6959650320620676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2947796371338069 the lambda is 0.44432413099013174 the regulation term lambda/alpha is 1.507309444133834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300996296921228 the lambda is 0.484762405213333 the regulation term lambda/alpha is 1.4685336232138795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2902207211582435 the lambda is 0.4516113992526143 the regulation term lambda/alpha is 1.5560963305799664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3052546431172058 the lambda is 0.526027001446289 the regulation term lambda/alpha is 1.7232399680299548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2710882642928354 the lambda is 0.5457562198007113 the regulation term lambda/alpha is 2.0132048918619865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3591628893041212 the lambda is 0.571871289304859 the regulation term lambda/alpha is 1.5922337923410201 using Bay_non_info_prior option for model regressor Convergence after 5 iterations the alpha is 0.28574996790554025 the lambda is 0.4734116557343152 the regulation term lambda/alpha is 1.6567338894358508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3254393764892571 the lambda is 0.4862825438811642 the regulation term lambda/alpha is 1.4942338850542158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34479541030767863 the lambda is 0.5194353136170469 the regulation term lambda/alpha is 1.506502981444933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3439099945200545 the lambda is 0.5895209260115536 the regulation term lambda/alpha is 1.7141721246986812 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3244537475193073 the lambda is 0.46330005208025854 the regulation term lambda/alpha is 1.427938668061428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.343303478311308 the lambda is 0.5417816975990314 the regulation term lambda/alpha is 1.578142173985616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26729381358733084 the lambda is 0.5189012672146986 the regulation term lambda/alpha is 1.9413141675467998 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.293772219326442 the lambda is 0.5321152094404359 the regulation term lambda/alpha is 1.811319023495361 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35642582987211585 the lambda is 0.5565772792654752 the regulation term lambda/alpha is 1.5615514719154133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3476197618617908 the lambda is 0.556763473794323 the regulation term lambda/alpha is 1.6016450584178386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32549569289922753 the lambda is 0.5255169554589555 the regulation term lambda/alpha is 1.6145127782740092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32730304966866147 the lambda is 0.5122884477836549 the regulation term lambda/alpha is 1.565180795908439 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2988335234434844 the lambda is 0.5154193624471171 the regulation term lambda/alpha is 1.7247708908555353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35699434510429123 the lambda is 0.5468916454721507 the regulation term lambda/alpha is 1.5319336369666683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2824080675597357 the lambda is 0.5022081703048177 the regulation term lambda/alpha is 1.7783067411790185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2734117174333252 the lambda is 0.47784699993641644 the regulation term lambda/alpha is 1.7477195360251716 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36086714415820387 the lambda is 0.5676271778502227 the regulation term lambda/alpha is 1.5729533348743308 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2810867406600756 the lambda is 0.5405151334286223 the regulation term lambda/alpha is 1.9229478137578861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33829620915581765 the lambda is 0.5186641497891352 the regulation term lambda/alpha is 1.5331657161734287 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29538515907113544 the lambda is 0.524408470308228 the regulation term lambda/alpha is 1.7753379078260956 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33143739969629715 the lambda is 0.4676382153702792 the regulation term lambda/alpha is 1.4109397907381171 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2788526308022171 the lambda is 0.49191066652597865 the regulation term lambda/alpha is 1.7640524498937864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2937717781493702 the lambda is 0.4322686728773087 the regulation term lambda/alpha is 1.4714438384803552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34440851472733874 the lambda is 0.5510712485864082 the regulation term lambda/alpha is 1.6000511747587896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30090959720235144 the lambda is 0.4669487239019454 the regulation term lambda/alpha is 1.551790731313692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32420599849193527 the lambda is 0.4642380595227193 the regulation term lambda/alpha is 1.4319231034655497 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2888907637737908 the lambda is 0.47323993297845635 the regulation term lambda/alpha is 1.6381275981153065 460 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2670361163501456 the lambda is 0.530171070157091 the regulation term lambda/alpha is 1.9853908804677007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35210116777067746 the lambda is 0.5627951697755993 the regulation term lambda/alpha is 1.5983905232093585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3601040730563192 the lambda is 0.5722834065760016 the regulation term lambda/alpha is 1.5892166998247148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2992532448990914 the lambda is 0.5009688347099077 the regulation term lambda/alpha is 1.6740631663955228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3759411275676972 the lambda is 0.5148045464669789 the regulation term lambda/alpha is 1.369375438643052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29257300521956303 the lambda is 0.5468247919784299 the regulation term lambda/alpha is 1.8690199786821147 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3465172100477322 the lambda is 0.48996177891443327 the regulation term lambda/alpha is 1.413960879019376 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2857351611357399 the lambda is 0.5129312952916459 the regulation term lambda/alpha is 1.7951283743059379 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27888382940017703 the lambda is 0.5603375000863366 the regulation term lambda/alpha is 2.009214737518162 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33092955549453246 the lambda is 0.5822883585629212 the regulation term lambda/alpha is 1.759553805016795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3428630292407952 the lambda is 0.4729742225955451 the regulation term lambda/alpha is 1.3794844653938232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30675837200523715 the lambda is 0.4958149443455873 the regulation term lambda/alpha is 1.6163045236696016 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.341192463613785 the lambda is 0.5503558552576724 the regulation term lambda/alpha is 1.6130363766787392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133386396723758 the lambda is 0.4995274693358715 the regulation term lambda/alpha is 1.5942096061250957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3401024494271758 the lambda is 0.5520806064095635 the regulation term lambda/alpha is 1.6232773605112694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34916235486373304 the lambda is 0.5202622855318442 the regulation term lambda/alpha is 1.4900297190826486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206836051546839 the lambda is 0.5536876287938105 the regulation term lambda/alpha is 1.726585394119963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30073744406296726 the lambda is 0.4519489198244414 the regulation term lambda/alpha is 1.5028022906579404 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36832058654545546 the lambda is 0.5430628409951933 the regulation term lambda/alpha is 1.4744297789289398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2952715649743986 the lambda is 0.5054642361726792 the regulation term lambda/alpha is 1.711862218146557 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2648654018313104 the lambda is 0.48487039365466705 the regulation term lambda/alpha is 1.8306294076244627 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2893456382430936 the lambda is 0.4739562753121529 the regulation term lambda/alpha is 1.6380280628732296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3109278634077056 the lambda is 0.5759667757637694 the regulation term lambda/alpha is 1.8524128698254692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193239518831248 the lambda is 0.5847891142129478 the regulation term lambda/alpha is 1.831334952371457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3095476226320693 the lambda is 0.46474573040743916 the regulation term lambda/alpha is 1.5013706984913255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3578635126542716 the lambda is 0.5223929607577242 the regulation term lambda/alpha is 1.4597547452746404 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32575574304575133 the lambda is 0.5102960765360529 the regulation term lambda/alpha is 1.56649909458199 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.22995979592071097 the lambda is 0.4743709268945795 the regulation term lambda/alpha is 2.0628428764919424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3327908121318531 the lambda is 0.4632026030009694 the regulation term lambda/alpha is 1.3918731711182177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980089250997274 the lambda is 0.5350325470036722 the regulation term lambda/alpha is 1.7953574606016445 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34044357598082114 the lambda is 0.5468881107532418 the regulation term lambda/alpha is 1.6063986790693643 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.309299387067721 the lambda is 0.4677237351503298 the regulation term lambda/alpha is 1.5122038862880833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35204637911877706 the lambda is 0.4679161946816169 the regulation term lambda/alpha is 1.3291322463048156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.257378864631292 the lambda is 0.46702552992674806 the regulation term lambda/alpha is 1.8145449922462955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4031410423448563 the lambda is 0.5489657003267532 the regulation term lambda/alpha is 1.3617211910097584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35135261437503557 the lambda is 0.5041386686759315 the regulation term lambda/alpha is 1.4348510529021177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879620925097434 the lambda is 0.48779298260311704 the regulation term lambda/alpha is 1.6939485970244927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34416798578841346 the lambda is 0.5478341795368691 the regulation term lambda/alpha is 1.5917639122706344 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3092750357303787 the lambda is 0.4623059743743702 the regulation term lambda/alpha is 1.4948053381760873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.304331416009894 the lambda is 0.48029701692599713 the regulation term lambda/alpha is 1.5782038647971275 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3005423917762902 the lambda is 0.5433836232469594 the regulation term lambda/alpha is 1.8080099117978303 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36136204394188026 the lambda is 0.5056881000944599 the regulation term lambda/alpha is 1.3993946198062581 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3118329123792791 the lambda is 0.4529582885254171 the regulation term lambda/alpha is 1.4525672901854845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.357717998862103 the lambda is 0.4846533564066781 the regulation term lambda/alpha is 1.354847555751612 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36290319745168986 the lambda is 0.5516935116780144 the regulation term lambda/alpha is 1.520222239848015 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29749310181636873 the lambda is 0.5025595019398718 the regulation term lambda/alpha is 1.6893148072054551 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3492300603042103 the lambda is 0.5280983555080889 the regulation term lambda/alpha is 1.5121789775143313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31128305258549205 the lambda is 0.5271976546290417 the regulation term lambda/alpha is 1.6936278742134538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2885390083968754 the lambda is 0.46669439998330986 the regulation term lambda/alpha is 1.617439536429639 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.309381896253212 the lambda is 0.5546703716666739 the regulation term lambda/alpha is 1.7928339647020162 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34341578415423984 the lambda is 0.564166924328836 the regulation term lambda/alpha is 1.6428101163674211 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36461624284685196 the lambda is 0.5286304194307954 the regulation term lambda/alpha is 1.449826851660126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33749372232257324 the lambda is 0.4752592685706476 the regulation term lambda/alpha is 1.4082018038735529 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3095392451081786 the lambda is 0.549026045654848 the regulation term lambda/alpha is 1.773688003480699 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3546660265693265 the lambda is 0.4562008174387565 the regulation term lambda/alpha is 1.2862828217621318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3067707187262898 the lambda is 0.5422077551724028 the regulation term lambda/alpha is 1.7674690642693873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.291985032729752 the lambda is 0.4749493929381549 the regulation term lambda/alpha is 1.626622393955879 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3418211332458382 the lambda is 0.5848538485959515 the regulation term lambda/alpha is 1.7109938260468052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.329511878417223 the lambda is 0.5411599891288071 the regulation term lambda/alpha is 1.6423079851573619 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3477196644785268 the lambda is 0.5649610093649843 the regulation term lambda/alpha is 1.624760021013632 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31994141160419154 the lambda is 0.5422258230883823 the regulation term lambda/alpha is 1.6947659897155953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3771951163113951 the lambda is 0.4889553535831264 the regulation term lambda/alpha is 1.2962929063468234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3320046814621721 the lambda is 0.5538606728921238 the regulation term lambda/alpha is 1.6682315154499696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29520722593997145 the lambda is 0.4656770835164197 the regulation term lambda/alpha is 1.5774582821733238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36462979712940335 the lambda is 0.5883779644916798 the regulation term lambda/alpha is 1.613631055727655 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29104594095245084 the lambda is 0.48873261246853295 the regulation term lambda/alpha is 1.6792284093334215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37327160873543225 the lambda is 0.5791383471340692 the regulation term lambda/alpha is 1.5515199484259499 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3627829021842749 the lambda is 0.5677812912449738 the regulation term lambda/alpha is 1.5650718041738647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3257114136220237 the lambda is 0.5370493725004185 the regulation term lambda/alpha is 1.6488503320416177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39565005764011557 the lambda is 0.5319839057710761 the regulation term lambda/alpha is 1.3445818988227476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351376394831571 the lambda is 0.5222447706871451 the regulation term lambda/alpha is 1.5582993646805565 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38282939831121204 the lambda is 0.5660470923518038 the regulation term lambda/alpha is 1.4785883603736443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28766231669951137 the lambda is 0.5276437939711413 the regulation term lambda/alpha is 1.8342471826864681 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3552143249978193 the lambda is 0.5200667208464705 the regulation term lambda/alpha is 1.4640927582232595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419624006446447 the lambda is 0.47314139107112707 the regulation term lambda/alpha is 1.3836064730484767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3092042768314575 the lambda is 0.5325203214067705 the regulation term lambda/alpha is 1.722228187991847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3545069282623978 the lambda is 0.5667454836765883 the regulation term lambda/alpha is 1.598686622161292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30756498273277344 the lambda is 0.4404314572499247 the regulation term lambda/alpha is 1.4319948042739046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3281106664301906 the lambda is 0.5054313583732708 the regulation term lambda/alpha is 1.5404295260264185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32460737195589784 the lambda is 0.5414735670573119 the regulation term lambda/alpha is 1.6680877079121854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27555325142238934 the lambda is 0.49055971564539025 the regulation term lambda/alpha is 1.780271918814786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2616385236639978 the lambda is 0.4864013794108158 the regulation term lambda/alpha is 1.8590587219314216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36906092455173073 the lambda is 0.5267302846977051 the regulation term lambda/alpha is 1.4272177021652535 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197982521384626 the lambda is 0.5268626446103711 the regulation term lambda/alpha is 1.6474844408538425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2873120398636111 the lambda is 0.48565824840742156 the regulation term lambda/alpha is 1.6903511897307426 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27670273914614274 the lambda is 0.5011896947341957 the regulation term lambda/alpha is 1.8112928563005242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2915730448942714 the lambda is 0.4410061182438315 the regulation term lambda/alpha is 1.5125064746768575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3110674421533555 the lambda is 0.47465460254540875 the regulation term lambda/alpha is 1.525889688935704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26824019896345463 the lambda is 0.5008626683018154 the regulation term lambda/alpha is 1.8672170324853268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2816181862060244 the lambda is 0.4817289218646203 the regulation term lambda/alpha is 1.7105746200360803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37486018312273006 the lambda is 0.5204492381005033 the regulation term lambda/alpha is 1.3883822863366286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3714936052190466 the lambda is 0.5530111754921321 the regulation term lambda/alpha is 1.4886155985539935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2883249928162232 the lambda is 0.45224631274835375 the regulation term lambda/alpha is 1.568529693978396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2845745197802647 the lambda is 0.4590074466122842 the regulation term lambda/alpha is 1.6129604539672369 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38368906289135585 the lambda is 0.6104282523861052 the regulation term lambda/alpha is 1.590945146536408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.44397218807823147 the lambda is 0.566723723613077 the regulation term lambda/alpha is 1.276484741231619 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3341358557295025 the lambda is 0.5019902677445268 the regulation term lambda/alpha is 1.5023537855539508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4117798501044398 the lambda is 0.5407129306372848 the regulation term lambda/alpha is 1.313111679700072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3039342457638586 the lambda is 0.509513828344883 the regulation term lambda/alpha is 1.6763949289898359 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3232382910018743 the lambda is 0.535270853353971 the regulation term lambda/alpha is 1.6559636288600077 470 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2748538258925601 the lambda is 0.5582402466132229 the regulation term lambda/alpha is 2.0310441188162254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35021441310038615 the lambda is 0.5517332574819487 the regulation term lambda/alpha is 1.5754156220971944 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32135551341764806 the lambda is 0.40520755603283354 the regulation term lambda/alpha is 1.2609323291933305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31944861476679326 the lambda is 0.46844555816298894 the regulation term lambda/alpha is 1.46641912504447 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31580085760326543 the lambda is 0.48066242942139725 the regulation term lambda/alpha is 1.5220428249287539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2866105058886991 the lambda is 0.47571842427721445 the regulation term lambda/alpha is 1.6598080478667192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31320040455902115 the lambda is 0.5370345560717823 the regulation term lambda/alpha is 1.7146675044303163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322655090161372 the lambda is 0.5136784773099675 the regulation term lambda/alpha is 1.592035870418339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29431316840954524 the lambda is 0.5313228842498233 the regulation term lambda/alpha is 1.805297694021194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29219698003715816 the lambda is 0.5477766591385768 the regulation term lambda/alpha is 1.87468282207748 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3044940312754045 the lambda is 0.41852174430242745 the regulation term lambda/alpha is 1.3744825885400977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2776417464612621 the lambda is 0.49964926052126446 the regulation term lambda/alpha is 1.7996186340478084 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32526766348830977 the lambda is 0.49762888697175595 the regulation term lambda/alpha is 1.529905806298021 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35494806858125255 the lambda is 0.478256836217333 the regulation term lambda/alpha is 1.3473994607970472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30734773314520303 the lambda is 0.5155497875114279 the regulation term lambda/alpha is 1.677415291909318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31986005648285076 the lambda is 0.4571060650727397 the regulation term lambda/alpha is 1.4290814242298095 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31285573895047425 the lambda is 0.48489257324340523 the regulation term lambda/alpha is 1.549891892250584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3108003229160838 the lambda is 0.48747858098406355 the regulation term lambda/alpha is 1.5684622731736446 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30141006074320303 the lambda is 0.5284520926811384 the regulation term lambda/alpha is 1.75326626914213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35645684067617445 the lambda is 0.5764135364994695 the regulation term lambda/alpha is 1.6170640333512807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2916509027659386 the lambda is 0.5331431728586874 the regulation term lambda/alpha is 1.828018249909399 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3327223814801524 the lambda is 0.5092721057841597 the regulation term lambda/alpha is 1.530621725892338 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3143504523116841 the lambda is 0.49836558027456823 the regulation term lambda/alpha is 1.5853821001677129 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3072478402334295 the lambda is 0.47997413150252355 the regulation term lambda/alpha is 1.5621725156403587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066445051227414 the lambda is 0.5212827206089802 the regulation term lambda/alpha is 1.6999578074954418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34170828193095 the lambda is 0.5311940993469114 the regulation term lambda/alpha is 1.5545250947539264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3613850316602251 the lambda is 0.5584268644617403 the regulation term lambda/alpha is 1.5452407143048865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29449397733384314 the lambda is 0.5361008714613744 the regulation term lambda/alpha is 1.8204137018858004 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2822609852077801 the lambda is 0.4749040595285483 the regulation term lambda/alpha is 1.6824998296486435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202994507576125 the lambda is 0.48169477713586667 the regulation term lambda/alpha is 1.5038888639880639 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3391015845302126 the lambda is 0.5008498318352588 the regulation term lambda/alpha is 1.476990538186751 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32697593199104436 the lambda is 0.48715636371315996 the regulation term lambda/alpha is 1.4898844717613737 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28929182583135127 the lambda is 0.41909292551209293 the regulation term lambda/alpha is 1.4486856803082018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2857597490696831 the lambda is 0.4751234950472331 the regulation term lambda/alpha is 1.6626676660867772 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32194820987044026 the lambda is 0.49323922025690703 the regulation term lambda/alpha is 1.5320452331615648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32850016705422497 the lambda is 0.4494410863136183 the regulation term lambda/alpha is 1.368160906412659 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31121621168270064 the lambda is 0.4710576499800604 the regulation term lambda/alpha is 1.5136025447810717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30171164972225273 the lambda is 0.45416109499951607 the regulation term lambda/alpha is 1.5052819319956787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3727615674752626 the lambda is 0.5319921419323494 the regulation term lambda/alpha is 1.427164676700888 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34975246783160513 the lambda is 0.47439498894723564 the regulation term lambda/alpha is 1.356373528651246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222530461028691 the lambda is 0.4867572883872161 the regulation term lambda/alpha is 1.5104815742589885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33427707071320206 the lambda is 0.5659176056418459 the regulation term lambda/alpha is 1.6929596889024532 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3247518966143204 the lambda is 0.4987852459751928 the regulation term lambda/alpha is 1.5358963293986754 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3037738520479832 the lambda is 0.5175376692470826 the regulation term lambda/alpha is 1.7036939346752396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3397080393496829 the lambda is 0.5075665129951912 the regulation term lambda/alpha is 1.4941257026676398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.42831201969188387 the lambda is 0.5358027909556269 the regulation term lambda/alpha is 1.2509637047801483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3505172985367696 the lambda is 0.5128172470173783 the regulation term lambda/alpha is 1.4630297824333576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30232219241105257 the lambda is 0.5716309790411985 the regulation term lambda/alpha is 1.890800587553229 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3080474236623719 the lambda is 0.4715371478128207 the regulation term lambda/alpha is 1.5307290747856985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3406800330276583 the lambda is 0.523120172999873 the regulation term lambda/alpha is 1.5355175598371602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2876509207951891 the lambda is 0.5072844166487269 the regulation term lambda/alpha is 1.7635417792036878 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30328341509248913 the lambda is 0.4751988386057955 the regulation term lambda/alpha is 1.5668474270539294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3791721539224303 the lambda is 0.489541175697443 the regulation term lambda/alpha is 1.2910789218914835 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4064324677773773 the lambda is 0.5501470562711333 the regulation term lambda/alpha is 1.3536001670331008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879890883129583 the lambda is 0.47743911961349894 the regulation term lambda/alpha is 1.6578375327007702 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27568342635591775 the lambda is 0.4772834114537425 the regulation term lambda/alpha is 1.7312735036800926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3330970585506813 the lambda is 0.5347445496632246 the regulation term lambda/alpha is 1.6053715754498694 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27093088900819 the lambda is 0.5207326108848425 the regulation term lambda/alpha is 1.9220127051260705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3302288030726398 the lambda is 0.567841620184522 the regulation term lambda/alpha is 1.719539951999932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2965661238342885 the lambda is 0.5315363027949882 the regulation term lambda/alpha is 1.7923028292064587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3465474219257732 the lambda is 0.53060125746473 the regulation term lambda/alpha is 1.5311072133105614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2968601563193368 the lambda is 0.5454258172019133 the regulation term lambda/alpha is 1.8373156706661258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37812000843083343 the lambda is 0.5807632735118745 the regulation term lambda/alpha is 1.5359231475795045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3399966382692352 the lambda is 0.5035028916762004 the regulation term lambda/alpha is 1.4809055002405305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3535226558179585 the lambda is 0.5512639106804306 the regulation term lambda/alpha is 1.5593453534256547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2979133212468629 the lambda is 0.563214922036571 the regulation term lambda/alpha is 1.8905328559304957 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3340704813578999 the lambda is 0.5189077708701705 the regulation term lambda/alpha is 1.553288302399423 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29168871213160175 the lambda is 0.5306011329030808 the regulation term lambda/alpha is 1.819066391104255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3071310014881647 the lambda is 0.4731093105531223 the regulation term lambda/alpha is 1.5404153545579264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2915039077295772 the lambda is 0.5256880587820408 the regulation term lambda/alpha is 1.8033653918276527 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.36701008021587855 the lambda is 0.5379855154418851 the regulation term lambda/alpha is 1.4658603249410407 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3572581738376483 the lambda is 0.5368149695857469 the regulation term lambda/alpha is 1.5025967462670178 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33632565047953183 the lambda is 0.5373923642298903 the regulation term lambda/alpha is 1.5978334196742898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33525327302071145 the lambda is 0.5553345268629907 the regulation term lambda/alpha is 1.6564626554106243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973532139000413 the lambda is 0.5621517618635637 the regulation term lambda/alpha is 1.890518533465515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31861560955607704 the lambda is 0.48971645036974315 the regulation term lambda/alpha is 1.5370133655788512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3400700769574582 the lambda is 0.6207886897971362 the regulation term lambda/alpha is 1.8254728418072346 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3115121633429803 the lambda is 0.43235712611414345 the regulation term lambda/alpha is 1.3879301580853867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2859791870361365 the lambda is 0.4054639712464763 the regulation term lambda/alpha is 1.4178093708450246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30904753707385846 the lambda is 0.4915472164029289 the regulation term lambda/alpha is 1.5905230019207541 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32719136468636556 the lambda is 0.5918235567823953 the regulation term lambda/alpha is 1.8087994386700794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32071139052230435 the lambda is 0.511367247283652 the regulation term lambda/alpha is 1.594477971146735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3709046169384079 the lambda is 0.5859623809333753 the regulation term lambda/alpha is 1.5798195928919365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3909348921344757 the lambda is 0.523773427352055 the regulation term lambda/alpha is 1.339797081023622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3470073441191741 the lambda is 0.5307820707262795 the regulation term lambda/alpha is 1.5295989543782995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35727862219584605 the lambda is 0.5464088796619022 the regulation term lambda/alpha is 1.529363487531539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28184443544888393 the lambda is 0.5300109356660881 the regulation term lambda/alpha is 1.8805087807462226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31350276039950065 the lambda is 0.47939560285201255 the regulation term lambda/alpha is 1.529159112478348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3032206743367625 the lambda is 0.5106138290030005 the regulation term lambda/alpha is 1.6839677245618923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.325181364313248 the lambda is 0.4989397646899809 the regulation term lambda/alpha is 1.5343430449764366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3144988912592418 the lambda is 0.5480817961484672 the regulation term lambda/alpha is 1.7427145576061276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2691008843922549 the lambda is 0.5140071557853397 the regulation term lambda/alpha is 1.9100909197908738 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33806339906210614 the lambda is 0.488289619110466 the regulation term lambda/alpha is 1.4443729207750218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27047797053213635 the lambda is 0.4924783769267051 the regulation term lambda/alpha is 1.8207707487519476 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3242201968735067 the lambda is 0.47474593184439107 the regulation term lambda/alpha is 1.464270074543232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27056734714407593 the lambda is 0.49059572807540097 the regulation term lambda/alpha is 1.8132111404195455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2621849059138533 the lambda is 0.4783565750520082 the regulation term lambda/alpha is 1.8245008170271362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3393009378989459 the lambda is 0.5102798381326046 the regulation term lambda/alpha is 1.5039152007430683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3367314639716696 the lambda is 0.5080750952941606 the regulation term lambda/alpha is 1.5088435434619998 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3362653175765119 the lambda is 0.5079944227458397 the regulation term lambda/alpha is 1.5106952641057119 480 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30614339155346476 the lambda is 0.5279240672898797 the regulation term lambda/alpha is 1.7244339804659259 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30926948403236854 the lambda is 0.4666334468476803 the regulation term lambda/alpha is 1.508824733573914 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3082975820253396 the lambda is 0.4717187637476036 the regulation term lambda/alpha is 1.5300761058477328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30629907626189823 the lambda is 0.5280768074216505 the regulation term lambda/alpha is 1.7240561540907922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34917565513168297 the lambda is 0.5197279746564863 the regulation term lambda/alpha is 1.4884427565847447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34591784766046757 the lambda is 0.522361409656039 the regulation term lambda/alpha is 1.5100736003906858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2825952936149451 the lambda is 0.4751524524817253 the regulation term lambda/alpha is 1.6813884138111377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3450277232199392 the lambda is 0.485157984849975 the regulation term lambda/alpha is 1.4061420349712284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31616110364162114 the lambda is 0.5712078639175171 the regulation term lambda/alpha is 1.8066987283957603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3716859352743605 the lambda is 0.4915354659303722 the regulation term lambda/alpha is 1.3224483879583568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29868270652855866 the lambda is 0.499423316785613 the regulation term lambda/alpha is 1.672086484651767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.365002276870265 the lambda is 0.49169958652050366 the regulation term lambda/alpha is 1.3471137515541347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2790015451138855 the lambda is 0.4355807974017271 the regulation term lambda/alpha is 1.5612128500002667 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27129568623126193 the lambda is 0.48732818346767004 the regulation term lambda/alpha is 1.796299050078719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2940067386000451 the lambda is 0.5431898183520134 the regulation term lambda/alpha is 1.84754206974469 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34637745721823093 the lambda is 0.4787050943325355 the regulation term lambda/alpha is 1.3820330519688906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3957095917570318 the lambda is 0.5389381865016255 the regulation term lambda/alpha is 1.36195381089609 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3045902933800493 the lambda is 0.49799555065755363 the regulation term lambda/alpha is 1.6349685511356233 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31505024456914255 the lambda is 0.4868594350914862 the regulation term lambda/alpha is 1.5453390165029297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37711005390885516 the lambda is 0.508343960686599 the regulation term lambda/alpha is 1.3479989605619536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4048753050888434 the lambda is 0.5444019818041985 the regulation term lambda/alpha is 1.344616416367351 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37486403749323294 the lambda is 0.5425533404754268 the regulation term lambda/alpha is 1.4473336629023024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27673508049587425 the lambda is 0.5075141588899613 the regulation term lambda/alpha is 1.833935032669368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3449651835895061 the lambda is 0.480853362202879 the regulation term lambda/alpha is 1.3939185317178966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28911305777821733 the lambda is 0.5109438689219911 the regulation term lambda/alpha is 1.7672804986689437 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2920022567933432 the lambda is 0.5424291152629477 the regulation term lambda/alpha is 1.8576195993130198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3092142822940137 the lambda is 0.5196138334346988 the regulation term lambda/alpha is 1.6804328363481882 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2824987797141953 the lambda is 0.4967374079111215 the regulation term lambda/alpha is 1.7583701013281259 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.297690051721145 the lambda is 0.506329171740479 the regulation term lambda/alpha is 1.70086023638698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2775923751248731 the lambda is 0.4716561459591919 the regulation term lambda/alpha is 1.6990961864389125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3120909893426808 the lambda is 0.5194766499282563 the regulation term lambda/alpha is 1.664503839160389 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35876022240484173 the lambda is 0.4261067602178014 the regulation term lambda/alpha is 1.187720191947486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211332118557031 the lambda is 0.5029852796562947 the regulation term lambda/alpha is 1.5662823435475257 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2977146923134824 the lambda is 0.5935071387571593 the regulation term lambda/alpha is 1.9935433288331588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32740246038563176 the lambda is 0.5560995839508318 the regulation term lambda/alpha is 1.6985198684696157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2535285400117825 the lambda is 0.44774603772804844 the regulation term lambda/alpha is 1.7660577294660391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3415341921938389 the lambda is 0.5313111557443448 the regulation term lambda/alpha is 1.5556602175948386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32233344886261533 the lambda is 0.5054356085565703 the regulation term lambda/alpha is 1.5680519981405858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2691197491543192 the lambda is 0.41668919933419063 the regulation term lambda/alpha is 1.5483412148071374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33394468662231663 the lambda is 0.6019367976393982 the regulation term lambda/alpha is 1.8025044917698427 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.290241429142715 the lambda is 0.4944171910308923 the regulation term lambda/alpha is 1.7034687035935927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2897521544564114 the lambda is 0.6029692884281784 the regulation term lambda/alpha is 2.0809829337054526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30398196148348977 the lambda is 0.5190563581392216 the regulation term lambda/alpha is 1.7075235504308475 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29986453782389233 the lambda is 0.46762660274171297 the regulation term lambda/alpha is 1.559459501731231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2766375978562653 the lambda is 0.5142993403771668 the regulation term lambda/alpha is 1.859108611275555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3844449128956116 the lambda is 0.4978430420231472 the regulation term lambda/alpha is 1.294965872414409 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30757697233674325 the lambda is 0.5337103403775822 the regulation term lambda/alpha is 1.7352090318167979 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.303768743196461 the lambda is 0.5545208298473868 the regulation term lambda/alpha is 1.8254703364551008 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3346541546199975 the lambda is 0.5112598289252209 the regulation term lambda/alpha is 1.5277259279979973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3353419398473067 the lambda is 0.5547312924898982 the regulation term lambda/alpha is 1.6542258112495185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.342759590618308 the lambda is 0.5227286767117285 the regulation term lambda/alpha is 1.5250592281568902 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34002029029729003 the lambda is 0.4748862592497777 the regulation term lambda/alpha is 1.3966409440876904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32486111137757007 the lambda is 0.44966943780771 the regulation term lambda/alpha is 1.3841898031466173 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2943564195565284 the lambda is 0.4638550783380628 the regulation term lambda/alpha is 1.5758279674582865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2691844314931542 the lambda is 0.5067937622008771 the regulation term lambda/alpha is 1.8827008656842241 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.340189591484806 the lambda is 0.5164910057742019 the regulation term lambda/alpha is 1.5182445868490664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37424730725939165 the lambda is 0.5281073470788773 the regulation term lambda/alpha is 1.4111186288719104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32369266434593347 the lambda is 0.5755913704041109 the regulation term lambda/alpha is 1.7782033200139835 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2948905002163544 the lambda is 0.42831350377616495 the regulation term lambda/alpha is 1.4524493107167615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3293295567084703 the lambda is 0.4441054754605979 the regulation term lambda/alpha is 1.3485138713308074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3556494265174646 the lambda is 0.45685270374377795 the regulation term lambda/alpha is 1.2845590901616246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36971144200687256 the lambda is 0.5517017723733836 the regulation term lambda/alpha is 1.4922496565933385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36548327729836577 the lambda is 0.5009927022877181 the regulation term lambda/alpha is 1.3707677844825932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32815866194925863 the lambda is 0.579874918826436 the regulation term lambda/alpha is 1.7670565676431815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133346835055795 the lambda is 0.538692587299012 the regulation term lambda/alpha is 1.7192242533515112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29077034433483845 the lambda is 0.4843085677483649 the regulation term lambda/alpha is 1.6656050975771322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30602046490125084 the lambda is 0.546031821998683 the regulation term lambda/alpha is 1.7842983872823048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28228199199778753 the lambda is 0.49658371286383013 the regulation term lambda/alpha is 1.7591760258930094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29078686423792577 the lambda is 0.5554740237544774 the regulation term lambda/alpha is 1.910244553894226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29821174716031656 the lambda is 0.4938262303051469 the regulation term lambda/alpha is 1.6559583417070063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30903015273060347 the lambda is 0.5343416399473147 the regulation term lambda/alpha is 1.7290922430249909 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26620837003315173 the lambda is 0.47281689550155975 the regulation term lambda/alpha is 1.7761158127472794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27974735289529207 the lambda is 0.4725691325347074 the regulation term lambda/alpha is 1.689271149999362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30314995143873985 the lambda is 0.4509857766443236 the regulation term lambda/alpha is 1.4876656733869154 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3824490452734603 the lambda is 0.5373721620587469 the regulation term lambda/alpha is 1.4050817192510257 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32397436796072676 the lambda is 0.4492704563578783 the regulation term lambda/alpha is 1.3867469182387304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2767521404508211 the lambda is 0.49559136937238685 the regulation term lambda/alpha is 1.7907408721937366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.327465720453217 the lambda is 0.5430421889916482 the regulation term lambda/alpha is 1.658317665250795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25108721829640324 the lambda is 0.44764849859874295 the regulation term lambda/alpha is 1.78284064651313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3127871639071996 the lambda is 0.4653452564362157 the regulation term lambda/alpha is 1.487737701967458 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2996870651351786 the lambda is 0.48504218501336294 the regulation term lambda/alpha is 1.6184955623445976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2934120169507598 the lambda is 0.472747418036892 the regulation term lambda/alpha is 1.6112067356676403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3337327943496636 the lambda is 0.46166869582334813 the regulation term lambda/alpha is 1.3833483063089138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35816369981615465 the lambda is 0.5510922553684469 the regulation term lambda/alpha is 1.5386602708519104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2621411219115552 the lambda is 0.4596876378369283 the regulation term lambda/alpha is 1.7535884278088352 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989647320701878 the lambda is 0.5371992654023747 the regulation term lambda/alpha is 1.7968650070612902 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2865872286399769 the lambda is 0.47653600633258375 the regulation term lambda/alpha is 1.6627956821175331 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34883314388682873 the lambda is 0.575360842500048 the regulation term lambda/alpha is 1.649386970771078 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3609124084424946 the lambda is 0.5279057787455492 the regulation term lambda/alpha is 1.4626977803941652 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2746878810666372 the lambda is 0.45514834411890814 the regulation term lambda/alpha is 1.6569655070020821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4201405761378455 the lambda is 0.4842152734766963 the regulation term lambda/alpha is 1.1525077580648346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26949579659071915 the lambda is 0.476398200784887 the regulation term lambda/alpha is 1.767738891706681 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34317069471875344 the lambda is 0.5426564737396639 the regulation term lambda/alpha is 1.5813019062842752 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3304430081934709 the lambda is 0.5061074894612773 the regulation term lambda/alpha is 1.5316029600025813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32197535324792353 the lambda is 0.5499114911488221 the regulation term lambda/alpha is 1.7079303915706427 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29908014776580627 the lambda is 0.5139426553865541 the regulation term lambda/alpha is 1.7184111323530415 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2890570216515905 the lambda is 0.5040292540528586 the regulation term lambda/alpha is 1.7437018176309202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2853958877951058 the lambda is 0.5075727619551758 the regulation term lambda/alpha is 1.7784865993569514 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3292478095284813 the lambda is 0.506158476481516 the regulation term lambda/alpha is 1.5373176732941367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3814015902160796 the lambda is 0.6034119071209096 the regulation term lambda/alpha is 1.5820906954767864 490 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3623523238239909 the lambda is 0.5504286046310951 the regulation term lambda/alpha is 1.5190425683552686 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31369009922710245 the lambda is 0.49271356451427817 the regulation term lambda/alpha is 1.5707016757247667 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3187282214223104 the lambda is 0.4621928127057354 the regulation term lambda/alpha is 1.4501157463974188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34822669768641756 the lambda is 0.5001762363304094 the regulation term lambda/alpha is 1.436352352227813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3828792401449119 the lambda is 0.5356711235896134 the regulation term lambda/alpha is 1.3990602451751444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.298927640212356 the lambda is 0.631909219289138 the regulation term lambda/alpha is 2.1139203415255756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3431462140664289 the lambda is 0.48903715844249435 the regulation term lambda/alpha is 1.425156794379852 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336741363370567 the lambda is 0.5727237111790009 the regulation term lambda/alpha is 1.7007821832352301 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28580826645391677 the lambda is 0.4615077907992397 the regulation term lambda/alpha is 1.614746125174278 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.276428631219109 the lambda is 0.47415039651843116 the regulation term lambda/alpha is 1.7152723812556145 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2767740996362041 the lambda is 0.5142359180875187 the regulation term lambda/alpha is 1.857962572232871 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26385619844014474 the lambda is 0.466685848125374 the regulation term lambda/alpha is 1.7687128476962453 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32485211997022756 the lambda is 0.4864322524777427 the regulation term lambda/alpha is 1.4973959613448846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3402494028688789 the lambda is 0.5378431052038036 the regulation term lambda/alpha is 1.5807319591713462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3883385097311063 the lambda is 0.5041304414828166 the regulation term lambda/alpha is 1.298172673711621 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3558939300790028 the lambda is 0.46601115260579434 the regulation term lambda/alpha is 1.3094102293409369 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32070230234543623 the lambda is 0.4682323164376716 the regulation term lambda/alpha is 1.4600216868207176 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30475288672015605 the lambda is 0.45839980516361983 the regulation term lambda/alpha is 1.5041688697260887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31868727200013197 the lambda is 0.4973328004706116 the regulation term lambda/alpha is 1.5605668759510598 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.38917976257293757 the lambda is 0.4812267322106326 the regulation term lambda/alpha is 1.2365153034401273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31407771046063504 the lambda is 0.4910526901063846 the regulation term lambda/alpha is 1.563475132909601 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31360403693630823 the lambda is 0.440188437006386 the regulation term lambda/alpha is 1.4036440388545972 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3051087331244697 the lambda is 0.459127023183198 the regulation term lambda/alpha is 1.5047980386582256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891960045895249 the lambda is 0.5301873699183394 the regulation term lambda/alpha is 1.8333149888113758 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3043920144263461 the lambda is 0.4708362239481134 the regulation term lambda/alpha is 1.5468087257001346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.338177825521784 the lambda is 0.5626013870176235 the regulation term lambda/alpha is 1.6636258931216739 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33177777065876474 the lambda is 0.5073051331005347 the regulation term lambda/alpha is 1.5290510033063693 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3371980474235278 the lambda is 0.5526168125192038 the regulation term lambda/alpha is 1.6388493846321284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.23729372923820616 the lambda is 0.4438445703126634 the regulation term lambda/alpha is 1.870443739653618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2711872505997092 the lambda is 0.5062833314871796 the regulation term lambda/alpha is 1.8669142091583362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29962081221776454 the lambda is 0.4647302539596007 the regulation term lambda/alpha is 1.5510613248783083 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30171240456106313 the lambda is 0.5438740346918957 the regulation term lambda/alpha is 1.8026240435262642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3139568039302837 the lambda is 0.5245097899606397 the regulation term lambda/alpha is 1.67064316936132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29751539085422823 the lambda is 0.507847705266237 the regulation term lambda/alpha is 1.7069628021868086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3663718000647723 the lambda is 0.5658494039528225 the regulation term lambda/alpha is 1.5444676796980108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28766782531856955 the lambda is 0.4996184545163027 the regulation term lambda/alpha is 1.7367894861478321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32343761973867213 the lambda is 0.5074144092001414 the regulation term lambda/alpha is 1.5688169162576602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3108205890220637 the lambda is 0.5702710639102196 the regulation term lambda/alpha is 1.8347274410117624 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32607021761537835 the lambda is 0.47442228653467083 the regulation term lambda/alpha is 1.4549696994844334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35829351098829687 the lambda is 0.5235415763696158 the regulation term lambda/alpha is 1.4612086468591292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323280026520522 the lambda is 0.5486869161107607 the regulation term lambda/alpha is 1.697249663136642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222660278336631 the lambda is 0.5851976906656716 the regulation term lambda/alpha is 1.8158838975348657 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26313850636667113 the lambda is 0.4230571924609028 the regulation term lambda/alpha is 1.607735782582092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3633865366278036 the lambda is 0.5087683624018353 the regulation term lambda/alpha is 1.400074882033778 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33054428232405136 the lambda is 0.5261573760094453 the regulation term lambda/alpha is 1.5917908859594896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3480316782751987 the lambda is 0.4981656398269659 the regulation term lambda/alpha is 1.4313801614146513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246572739328589 the lambda is 0.5050851892773756 the regulation term lambda/alpha is 1.5557488768350536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.335540752231572 the lambda is 0.5417622259946081 the regulation term lambda/alpha is 1.6145944192814865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31894380586520304 the lambda is 0.4421964933397259 the regulation term lambda/alpha is 1.386440135246313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3458849137286135 the lambda is 0.559237557898831 the regulation term lambda/alpha is 1.6168313092071347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099886250795765 the lambda is 0.5111657903134394 the regulation term lambda/alpha is 1.6489824108294917 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38448550694766964 the lambda is 0.5763689511083895 the regulation term lambda/alpha is 1.4990654802154508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2870512762844831 the lambda is 0.4432823323932114 the regulation term lambda/alpha is 1.5442618410583027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2940653978884285 the lambda is 0.5137511593889265 the regulation term lambda/alpha is 1.7470643029679032 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2852594143593819 the lambda is 0.4863596117225244 the regulation term lambda/alpha is 1.7049730429222152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3347026391612365 the lambda is 0.5370798765769509 the regulation term lambda/alpha is 1.6046478686958399 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2848977717585118 the lambda is 0.5151359301634113 the regulation term lambda/alpha is 1.8081430647343095 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3108947063819229 the lambda is 0.5134138534271512 the regulation term lambda/alpha is 1.6514075115722324 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3166631547302483 the lambda is 0.5356319505901863 the regulation term lambda/alpha is 1.6914880768066247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240383819827404 the lambda is 0.5215035182227172 the regulation term lambda/alpha is 1.6093881071486609 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34366367027564304 the lambda is 0.4873480366439291 the regulation term lambda/alpha is 1.4180958850059444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3214050302692781 the lambda is 0.5633238896331285 the regulation term lambda/alpha is 1.7526915778547931 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.328635759942611 the lambda is 0.5568585663045706 the regulation term lambda/alpha is 1.6944551816327404 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2770473883102011 the lambda is 0.5066935033462658 the regulation term lambda/alpha is 1.8289055400837684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.254927534235129 the lambda is 0.5069245471124945 the regulation term lambda/alpha is 1.9885044925941167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3618692078660202 the lambda is 0.5287741540592071 the regulation term lambda/alpha is 1.4612300316388964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3356354130331607 the lambda is 0.5623274086538579 the regulation term lambda/alpha is 1.6754114340083062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.295278870918221 the lambda is 0.5347434670520833 the regulation term lambda/alpha is 1.810977756008093 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.330512387482798 the lambda is 0.5297295079716566 the regulation term lambda/alpha is 1.6027523567455613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3256230701998716 the lambda is 0.47096976296852466 the regulation term lambda/alpha is 1.4463648496386863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3141390649228939 the lambda is 0.4922322281970248 the regulation term lambda/alpha is 1.5669245985622458 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30904414399469216 the lambda is 0.5488531384927914 the regulation term lambda/alpha is 1.775970032624912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3625319913779048 the lambda is 0.6288393692540984 the regulation term lambda/alpha is 1.7345762145404535 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2633700837892933 the lambda is 0.4341747658544311 the regulation term lambda/alpha is 1.6485348662522676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31039696858377325 the lambda is 0.4676176855001216 the regulation term lambda/alpha is 1.506514988318631 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3329646501364897 the lambda is 0.5121381503565704 the regulation term lambda/alpha is 1.538115683291405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29629179762867813 the lambda is 0.5282421521875595 the regulation term lambda/alpha is 1.78284433256424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517343973080977 the lambda is 0.5316324704200566 the regulation term lambda/alpha is 1.5114599950666163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33928091147050166 the lambda is 0.5088317267044495 the regulation term lambda/alpha is 1.4997357926771817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3076838278745856 the lambda is 0.4873689848770444 the regulation term lambda/alpha is 1.583992854755109 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27364986195963253 the lambda is 0.44495702618844374 the regulation term lambda/alpha is 1.6260085899626056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3576863534024473 the lambda is 0.5415986835039837 the regulation term lambda/alpha is 1.5141720626243997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3330983528059687 the lambda is 0.5346119750571252 the regulation term lambda/alpha is 1.6049673333825794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211276792546015 the lambda is 0.5047154665657569 the regulation term lambda/alpha is 1.5716971758314253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28292424903699587 the lambda is 0.4713813080250182 the regulation term lambda/alpha is 1.666104300460224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33610009589609374 the lambda is 0.46839760589646295 the regulation term lambda/alpha is 1.3936253265493543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35375128953834095 the lambda is 0.49026501572265385 the regulation term lambda/alpha is 1.3859031195687472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2998339637412427 the lambda is 0.496599687469985 the regulation term lambda/alpha is 1.6562489494971007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37293310756445053 the lambda is 0.47920208477969994 the regulation term lambda/alpha is 1.2849545268567606 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34356063432785383 the lambda is 0.4860110443651999 the regulation term lambda/alpha is 1.4146296048033493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2999961179430332 the lambda is 0.4987400738944108 the regulation term lambda/alpha is 1.6624884258972892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30470394655870014 the lambda is 0.48748662175982516 the regulation term lambda/alpha is 1.5998697334427618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3042126197881884 the lambda is 0.46298761666180566 the regulation term lambda/alpha is 1.5219211385253058 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3606506224255395 the lambda is 0.523441577617002 the regulation term lambda/alpha is 1.451381323277967 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3281873404312442 the lambda is 0.5218646401720373 the regulation term lambda/alpha is 1.5901425066740769 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29179042822525003 the lambda is 0.4731543260076013 the regulation term lambda/alpha is 1.6215553364291508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33640044343703823 the lambda is 0.48472446852428397 the regulation term lambda/alpha is 1.4409150700629398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3529287349725912 the lambda is 0.48653937387610885 the regulation term lambda/alpha is 1.3785768220711583 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3024312799343688 the lambda is 0.49579323749969967 the regulation term lambda/alpha is 1.6393583283028552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3155427558379134 the lambda is 0.5813351282728346 the regulation term lambda/alpha is 1.8423339389589797 500 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2858336628046633 the lambda is 0.47675573532691873 the regulation term lambda/alpha is 1.667948171845421 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32201962227247305 the lambda is 0.42787358279907406 the regulation term lambda/alpha is 1.3287189761282123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3919239594026759 the lambda is 0.5275901244916301 the regulation term lambda/alpha is 1.3461543032370886 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3108996173417314 the lambda is 0.5348071326237928 the regulation term lambda/alpha is 1.7201923154377803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28103145402434454 the lambda is 0.4971302045821366 the regulation term lambda/alpha is 1.7689486264376384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.255130595389283 the lambda is 0.5086697883904399 the regulation term lambda/alpha is 1.9937624008375086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32279795468096 the lambda is 0.5202564269794424 the regulation term lambda/alpha is 1.6117091804179555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32882715916498184 the lambda is 0.4993471171379336 the regulation term lambda/alpha is 1.5185701765205992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3046017604865066 the lambda is 0.4468087082698878 the regulation term lambda/alpha is 1.4668618709105614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3198926679697872 the lambda is 0.5310508400058701 the regulation term lambda/alpha is 1.6600906903437564 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34079973824033893 the lambda is 0.5218206533420843 the regulation term lambda/alpha is 1.5311650649628308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2969279704941524 the lambda is 0.49533609553249763 the regulation term lambda/alpha is 1.6682028800053803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3022411106639347 the lambda is 0.5163178975594022 the regulation term lambda/alpha is 1.7082980420009832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3460408335378201 the lambda is 0.5954668609429581 the regulation term lambda/alpha is 1.720799406402647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35144135473115645 the lambda is 0.6150076601720343 the regulation term lambda/alpha is 1.749958142070387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2931261021065149 the lambda is 0.49445169959946317 the regulation term lambda/alpha is 1.6868224837233752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3325314441549202 the lambda is 0.4870427584333035 the regulation term lambda/alpha is 1.4646517404423245 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3663538461161279 the lambda is 0.5351810827107898 the regulation term lambda/alpha is 1.4608310746139854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3341009665019666 the lambda is 0.5634469463874349 the regulation term lambda/alpha is 1.6864570979447266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2960872768172269 the lambda is 0.46233341384856735 the regulation term lambda/alpha is 1.561476801091873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30642737604671805 the lambda is 0.4718570192178472 the regulation term lambda/alpha is 1.5398657434116059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3004853069789266 the lambda is 0.4867111093758223 the regulation term lambda/alpha is 1.6197501111425587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206919592889935 the lambda is 0.45964374028731986 the regulation term lambda/alpha is 1.4332873867695233 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3131402161599168 the lambda is 0.488397076262076 the regulation term lambda/alpha is 1.5596753500759473 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4245962995757212 the lambda is 0.5463845282935653 the regulation term lambda/alpha is 1.2868329960471658 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26604687511379504 the lambda is 0.49305381667173914 the regulation term lambda/alpha is 1.853259191489648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2899364890503247 the lambda is 0.42794683526998506 the regulation term lambda/alpha is 1.4760019915799756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34188375545432503 the lambda is 0.535485803665208 the regulation term lambda/alpha is 1.5662803368753442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35021792354725295 the lambda is 0.5284016320324268 the regulation term lambda/alpha is 1.508779524132872 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26691355121713606 the lambda is 0.47077467435506737 the regulation term lambda/alpha is 1.7637720985252219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33660326651585426 the lambda is 0.5457374752178803 the regulation term lambda/alpha is 1.6213077218969165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30022236129318314 the lambda is 0.5098878516823734 the regulation term lambda/alpha is 1.6983673350848132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32867749279876984 the lambda is 0.46250377004916243 the regulation term lambda/alpha is 1.4071659306842974 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30499362770516586 the lambda is 0.5311865423988559 the regulation term lambda/alpha is 1.7416316084883856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28233830691478196 the lambda is 0.47128780380720725 the regulation term lambda/alpha is 1.669230820844498 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29329325695543307 the lambda is 0.44778270150328997 the regulation term lambda/alpha is 1.526740526364478 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2964003250701398 the lambda is 0.4638880752715395 the regulation term lambda/alpha is 1.5650727615152433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29877304359391976 the lambda is 0.4897153027421865 the regulation term lambda/alpha is 1.6390879741071545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3569043216408927 the lambda is 0.5231834696025681 the regulation term lambda/alpha is 1.4658927838060223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31469599879677485 the lambda is 0.49063328810145385 the regulation term lambda/alpha is 1.5590706268187928 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3258062292647933 the lambda is 0.5164170335875843 the regulation term lambda/alpha is 1.5850434620385216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3572949844611748 the lambda is 0.5371949592242269 the regulation term lambda/alpha is 1.5035054579183458 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3458406006009435 the lambda is 0.6025058329724217 the regulation term lambda/alpha is 1.7421489319804804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35256339035547696 the lambda is 0.5179839751640842 the regulation term lambda/alpha is 1.4691938792675543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.342830871902866 the lambda is 0.5086449607889368 the regulation term lambda/alpha is 1.4836614858099793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30268639192067703 the lambda is 0.5168670758795789 the regulation term lambda/alpha is 1.7075993162422405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2749519737351609 the lambda is 0.48565179424102234 the regulation term lambda/alpha is 1.7663149954646684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31542935894179525 the lambda is 0.5230822338954634 the regulation term lambda/alpha is 1.658318159255383 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2810198999608993 the lambda is 0.5130698217350018 the regulation term lambda/alpha is 1.825741955663601 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3428080983411204 the lambda is 0.44668903433196194 the regulation term lambda/alpha is 1.3030294106047402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30396905828513865 the lambda is 0.5914777137625167 the regulation term lambda/alpha is 1.9458484264792506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2722826644154458 the lambda is 0.4718655639735653 the regulation term lambda/alpha is 1.732998922228843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34050732507497417 the lambda is 0.5503773903178163 the regulation term lambda/alpha is 1.6163452289804108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3209551757262699 the lambda is 0.5516473244554118 the regulation term lambda/alpha is 1.7187674983184884 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35989504536179034 the lambda is 0.4727750201900447 the regulation term lambda/alpha is 1.31364692646652 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30182626442298316 the lambda is 0.528042782708975 the regulation term lambda/alpha is 1.7494924893910793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3101576478153089 the lambda is 0.5133113479790279 the regulation term lambda/alpha is 1.6550014213568318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3270491182863613 the lambda is 0.5314122613541783 the regulation term lambda/alpha is 1.6248698792970862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322499385976468 the lambda is 0.47668671400249485 the regulation term lambda/alpha is 1.4781011522213487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3457735301724109 the lambda is 0.5761458052833796 the regulation term lambda/alpha is 1.6662519105962204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30654996765367626 the lambda is 0.5005908438293307 the regulation term lambda/alpha is 1.6329828629924092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3430235151869525 the lambda is 0.5307858793103941 the regulation term lambda/alpha is 1.547374613723227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2948043902441058 the lambda is 0.46444147644103323 the regulation term lambda/alpha is 1.5754225235806816 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3165648396015661 the lambda is 0.5177941620994885 the regulation term lambda/alpha is 1.6356654224492935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38510712139090153 the lambda is 0.5457451258307172 the regulation term lambda/alpha is 1.4171255100649274 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3367577662014908 the lambda is 0.5193767562302597 the regulation term lambda/alpha is 1.5422859050546833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30217169732189153 the lambda is 0.5059704297247115 the regulation term lambda/alpha is 1.6744467936906786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37338414068928694 the lambda is 0.5331628062718221 the regulation term lambda/alpha is 1.427920332362203 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2733248576006655 the lambda is 0.49446396696079786 the regulation term lambda/alpha is 1.80907061034025 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.288029677757673 the lambda is 0.5216710755664642 the regulation term lambda/alpha is 1.8111712641131372 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25872190895251185 the lambda is 0.49127853384045594 the regulation term lambda/alpha is 1.8988671497883454 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3367839667733676 the lambda is 0.5825896914942327 the regulation term lambda/alpha is 1.7298617184061955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2864480408885926 the lambda is 0.46207598775154873 the regulation term lambda/alpha is 1.6131232258322987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28318183977651523 the lambda is 0.5701728426802328 the regulation term lambda/alpha is 2.013451297336752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3117045409224246 the lambda is 0.5408312657221186 the regulation term lambda/alpha is 1.7350766341794097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29500059306823095 the lambda is 0.45558038646079624 the regulation term lambda/alpha is 1.5443371883507524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33956367459708675 the lambda is 0.5209124997214377 the regulation term lambda/alpha is 1.5340642674441916 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3397704413306905 the lambda is 0.52628622969344 the regulation term lambda/alpha is 1.5489464817253424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30945267990839403 the lambda is 0.5332028502061532 the regulation term lambda/alpha is 1.7230513252106752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2720348255055369 the lambda is 0.47054480056543496 the regulation term lambda/alpha is 1.729722654777734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3410331753200256 the lambda is 0.46134123296913 the regulation term lambda/alpha is 1.3527752323104851 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27504052873984536 the lambda is 0.4723587178812851 the regulation term lambda/alpha is 1.7174149571537458 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36091129833636754 the lambda is 0.5493245600127937 the regulation term lambda/alpha is 1.5220486655444796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3210437771599117 the lambda is 0.5316062912556321 the regulation term lambda/alpha is 1.655868542160963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2600910593954043 the lambda is 0.47432293110993945 the regulation term lambda/alpha is 1.8236802611075087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31309199381819824 the lambda is 0.4812268623069471 the regulation term lambda/alpha is 1.5370142699540859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33396437709318694 the lambda is 0.4588287640705107 the regulation term lambda/alpha is 1.3738853468868104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30597385562897644 the lambda is 0.4460821540721342 the regulation term lambda/alpha is 1.4579093797250864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3727990941965082 the lambda is 0.5431712625893742 the regulation term lambda/alpha is 1.457007999872071 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28737981094415677 the lambda is 0.5598959856219963 the regulation term lambda/alpha is 1.9482787735941356 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2379193003660332 the lambda is 0.4782363131797745 the regulation term lambda/alpha is 2.010077839183367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29217563807750596 the lambda is 0.5169688078958368 the regulation term lambda/alpha is 1.769376842290662 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2948928350250941 the lambda is 0.5121701834443743 the regulation term lambda/alpha is 1.736801042998521 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25194813181940706 the lambda is 0.5416066885983534 the regulation term lambda/alpha is 2.1496753505859276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4272524227166945 the lambda is 0.555824639010491 the regulation term lambda/alpha is 1.3009279981989734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3630931845999044 the lambda is 0.5390925318009493 the regulation term lambda/alpha is 1.4847222549632269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3995291794717457 the lambda is 0.5604017586854975 the regulation term lambda/alpha is 1.4026553940977633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3055144279194644 the lambda is 0.5048686782636136 the regulation term lambda/alpha is 1.6525199209141777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3431529039670536 the lambda is 0.5682646586346703 the regulation term lambda/alpha is 1.6560100528516288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3373072411004427 the lambda is 0.5133988714250051 the regulation term lambda/alpha is 1.5220511417130418 510 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37971300258882423 the lambda is 0.5276224434944414 the regulation term lambda/alpha is 1.3895295654802275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3136443276858674 the lambda is 0.4842949188339515 the regulation term lambda/alpha is 1.544089518236084 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30201958596989636 the lambda is 0.5182668517211099 the regulation term lambda/alpha is 1.716004112967587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2799306033422941 the lambda is 0.44627577129983975 the regulation term lambda/alpha is 1.5942371643951405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3015261489342206 the lambda is 0.45827258160161344 the regulation term lambda/alpha is 1.5198435798070298 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36319754731861603 the lambda is 0.5134286017062656 the regulation term lambda/alpha is 1.4136345509400121 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3056004784294366 the lambda is 0.5002054586629192 the regulation term lambda/alpha is 1.6367954043580368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38765459495837107 the lambda is 0.49200680287915155 the regulation term lambda/alpha is 1.2691886263646288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3538481423583581 the lambda is 0.5166374761958155 the regulation term lambda/alpha is 1.4600542276482922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32982446453792347 the lambda is 0.5372893552433774 the regulation term lambda/alpha is 1.6290160767670994 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3679253092447081 the lambda is 0.4857788772860954 the regulation term lambda/alpha is 1.3203192742660783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3488750330492548 the lambda is 0.5152173326002791 the regulation term lambda/alpha is 1.4767962272827353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3146733667181576 the lambda is 0.5663950512543374 the regulation term lambda/alpha is 1.7999459476392183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38079545514914426 the lambda is 0.5423001131715379 the regulation term lambda/alpha is 1.424124436987143 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3310870339867776 the lambda is 0.5315421924197365 the regulation term lambda/alpha is 1.6054455108651715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3353654072871516 the lambda is 0.5437239840288967 the regulation term lambda/alpha is 1.6212882193998654 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3046035603236376 the lambda is 0.49538942061622954 the regulation term lambda/alpha is 1.6263415309062188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39569889108412926 the lambda is 0.597896103293817 the regulation term lambda/alpha is 1.5109875634367111 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33493054950558726 the lambda is 0.5273015568079413 the regulation term lambda/alpha is 1.5743608864175735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24805588795601707 the lambda is 0.48298531761211083 the regulation term lambda/alpha is 1.947082657831324 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31538636167517037 the lambda is 0.4833116076003882 the regulation term lambda/alpha is 1.532442953567444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3369375733541371 the lambda is 0.543512080665325 the regulation term lambda/alpha is 1.613094304843433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24771715319655027 the lambda is 0.5243413517322872 the regulation term lambda/alpha is 2.116693757239534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3464838032736425 the lambda is 0.4935145238710528 the regulation term lambda/alpha is 1.4243509197493134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3310315282030378 the lambda is 0.5060462198498701 the regulation term lambda/alpha is 1.5286949330683912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2515917266675653 the lambda is 0.4334299952311631 the regulation term lambda/alpha is 1.7227513836488966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2621898845441342 the lambda is 0.4694056440349939 the regulation term lambda/alpha is 1.7903270557181974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35438588706422 the lambda is 0.49623428239649764 the regulation term lambda/alpha is 1.4002653618838174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28240374835083465 the lambda is 0.4644697661937697 the regulation term lambda/alpha is 1.6447011376660323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2787386838453474 the lambda is 0.49030811820736186 the regulation term lambda/alpha is 1.7590242999044925 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3031735282138324 the lambda is 0.43224766396455827 the regulation term lambda/alpha is 1.4257434232836057 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3328593095265001 the lambda is 0.48648244571823696 the regulation term lambda/alpha is 1.4615257311272718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3333908358473704 the lambda is 0.4867227760294598 the regulation term lambda/alpha is 1.459916481484471 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3070376024847667 the lambda is 0.43722469342861636 the regulation term lambda/alpha is 1.4240102511558295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31163746989420943 the lambda is 0.4589617045703096 the regulation term lambda/alpha is 1.4727423654354268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3287903625748981 the lambda is 0.5303428792899535 the regulation term lambda/alpha is 1.6130122401904101 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3303355956880639 the lambda is 0.5740881391445928 the regulation term lambda/alpha is 1.7378936652249384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971716536713027 the lambda is 0.5530645638601325 the regulation term lambda/alpha is 1.8610946132563142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33723098560731785 the lambda is 0.5460525642115324 the regulation term lambda/alpha is 1.6192241742796813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2913227496129485 the lambda is 0.4807447359388832 the regulation term lambda/alpha is 1.650213505734107 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2831573202065063 the lambda is 0.5506503626913413 the regulation term lambda/alpha is 1.9446799478457861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3164072877154841 the lambda is 0.5140028851989838 the regulation term lambda/alpha is 1.624497617959986 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3474423681221417 the lambda is 0.5524645347356824 the regulation term lambda/alpha is 1.5900897110552334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3405232611362343 the lambda is 0.5419210235420838 the regulation term lambda/alpha is 1.5914361378245923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300132512033422 the lambda is 0.5481837594101686 the regulation term lambda/alpha is 1.661096205716896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2982454171425464 the lambda is 0.4942704516574762 the regulation term lambda/alpha is 1.657260843747482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30274013513213943 the lambda is 0.5114850565449484 the regulation term lambda/alpha is 1.6895184918963464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24435661999804467 the lambda is 0.4906533939096988 the regulation term lambda/alpha is 2.0079398459252915 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29359614332712447 the lambda is 0.5312259294844524 the regulation term lambda/alpha is 1.809376388478513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.377820107961519 the lambda is 0.4647480026531103 the regulation term lambda/alpha is 1.2300774703617545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3097133745966934 the lambda is 0.5323389204876657 the regulation term lambda/alpha is 1.718811533989689 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30914176792925957 the lambda is 0.4802476998831359 the regulation term lambda/alpha is 1.5534869425765536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3544666457127039 the lambda is 0.5362693116763014 the regulation term lambda/alpha is 1.51289075618965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2916891861718949 the lambda is 0.4968909947404255 the regulation term lambda/alpha is 1.7034947413086594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3198965636493824 the lambda is 0.5080982469132432 the regulation term lambda/alpha is 1.588320428068544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31508757715615404 the lambda is 0.4625312597166315 the regulation term lambda/alpha is 1.4679450833677457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33588583265912614 the lambda is 0.5499367604253529 the regulation term lambda/alpha is 1.6372728676039647 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2664370730049511 the lambda is 0.43428732592922675 the regulation term lambda/alpha is 1.6299808470015602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2672015519711214 the lambda is 0.49835810576026207 the regulation term lambda/alpha is 1.8651018382337974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3106245725973671 the lambda is 0.4792261195272361 the regulation term lambda/alpha is 1.5427823868538921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919160535591096 the lambda is 0.5877556489580154 the regulation term lambda/alpha is 2.0134406511459697 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3251977081627332 the lambda is 0.45836551551994315 the regulation term lambda/alpha is 1.409497988499264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3082371069257847 the lambda is 0.5339626577720893 the regulation term lambda/alpha is 1.7323114114896403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427896567513211 the lambda is 0.5252631658020408 the regulation term lambda/alpha is 1.5323191801644593 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3200502070949413 the lambda is 0.5171841291610001 the regulation term lambda/alpha is 1.6159468661352248 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27545058183577165 the lambda is 0.5100258247434233 the regulation term lambda/alpha is 1.8516055451554987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3708500909638468 the lambda is 0.554831087317673 the regulation term lambda/alpha is 1.4961061108968747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2806455569961464 the lambda is 0.4812838012390277 the regulation term lambda/alpha is 1.714916873762004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3113569443118608 the lambda is 0.455379570843786 the regulation term lambda/alpha is 1.4625643627452534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2764424658052654 the lambda is 0.4449371158491214 the regulation term lambda/alpha is 1.6095107332841867 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.25955598002033925 the lambda is 0.43845791042158255 the regulation term lambda/alpha is 1.689261447134542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27585411046887987 the lambda is 0.4901348077465136 the regulation term lambda/alpha is 1.7767899376718097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31269750218234493 the lambda is 0.522712943006616 the regulation term lambda/alpha is 1.671624938985933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32268278408478723 the lambda is 0.5477167576694475 the regulation term lambda/alpha is 1.6973845047944391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3439613252887554 the lambda is 0.5008677151099638 the regulation term lambda/alpha is 1.4561745123219465 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3741242522801836 the lambda is 0.586533707020872 the regulation term lambda/alpha is 1.5677510972520805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29903987551939193 the lambda is 0.6413218953802127 the regulation term lambda/alpha is 2.1446032716082533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2826151063832847 the lambda is 0.4349795166837609 the regulation term lambda/alpha is 1.5391233761363006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3744785535463297 the lambda is 0.557128057909114 the regulation term lambda/alpha is 1.4877435640388077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33987724272944847 the lambda is 0.5116210030283129 the regulation term lambda/alpha is 1.505311149754081 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3515588011464714 the lambda is 0.4959704496949815 the regulation term lambda/alpha is 1.4107752332684262 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3341042933111305 the lambda is 0.49340423537979133 the regulation term lambda/alpha is 1.4767970518724065 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3539739274084078 the lambda is 0.5494054646098309 the regulation term lambda/alpha is 1.5521071527280546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31321002627895317 the lambda is 0.49753774268228673 the regulation term lambda/alpha is 1.5885115447714513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159503481204472 the lambda is 0.4713731754311297 the regulation term lambda/alpha is 1.491921684009134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3404889711916808 the lambda is 0.5122796752064933 the regulation term lambda/alpha is 1.5045411703455782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.345432738048287 the lambda is 0.5489056436060451 the regulation term lambda/alpha is 1.5890377000958005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30771269582298794 the lambda is 0.5443606766167546 the regulation term lambda/alpha is 1.7690549789011587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32194020257096795 the lambda is 0.5149051352576959 the regulation term lambda/alpha is 1.599381286169723 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33144638941090393 the lambda is 0.5187015635630816 the regulation term lambda/alpha is 1.5649636868423746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28079898839172923 the lambda is 0.4338147580078762 the regulation term lambda/alpha is 1.5449299176344682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36320636326991906 the lambda is 0.548944599291155 the regulation term lambda/alpha is 1.5113848621732529 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36419035992389154 the lambda is 0.5250272879320871 the regulation term lambda/alpha is 1.4416287351532513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.296424953140151 the lambda is 0.48301947139790646 the regulation term lambda/alpha is 1.629483166923308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31307857558985075 the lambda is 0.5446649208947903 the regulation term lambda/alpha is 1.7397067808572433 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33891858951148074 the lambda is 0.4365870450585177 the regulation term lambda/alpha is 1.288176743824577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2990293539303534 the lambda is 0.47962470056670015 the regulation term lambda/alpha is 1.6039385239698207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2641693648297898 the lambda is 0.4431168683325983 the regulation term lambda/alpha is 1.677396879907359 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.273291193280849 the lambda is 0.4995517269401133 the regulation term lambda/alpha is 1.8279100798785952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2833406634991679 the lambda is 0.5262805988270111 the regulation term lambda/alpha is 1.8574128835854744 520 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3233172719936469 the lambda is 0.45991854095046003 the regulation term lambda/alpha is 1.422499138739168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3298325097214031 the lambda is 0.5393745665251117 the regulation term lambda/alpha is 1.6352983730460675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33915128566175406 the lambda is 0.451761032280754 the regulation term lambda/alpha is 1.3320339664916059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2938099590374492 the lambda is 0.47280858895981287 the regulation term lambda/alpha is 1.6092326839729363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29481971376868843 the lambda is 0.4751080825622837 the regulation term lambda/alpha is 1.6115207375007734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3111402861137882 the lambda is 0.49089087420538524 the regulation term lambda/alpha is 1.577715571122988 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3256309497711483 the lambda is 0.5359221370737177 the regulation term lambda/alpha is 1.6457960689865656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3166753712972649 the lambda is 0.5113387918592281 the regulation term lambda/alpha is 1.614709693919429 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33736951610476285 the lambda is 0.5108440516219136 the regulation term lambda/alpha is 1.5141974222214019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3168233617568637 the lambda is 0.5162830568109495 the regulation term lambda/alpha is 1.6295611975961388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32339885967225707 the lambda is 0.5727673006226673 the regulation term lambda/alpha is 1.7710863334618074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3139479004440468 the lambda is 0.5592428695071116 the regulation term lambda/alpha is 1.7813238079188312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31155539812474564 the lambda is 0.5699988558935389 the regulation term lambda/alpha is 1.829526496168471 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161586420917578 the lambda is 0.5248013296377863 the regulation term lambda/alpha is 1.6599303633315665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31298780206744015 the lambda is 0.5074194385336301 the regulation term lambda/alpha is 1.6212115462068244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33685168550893785 the lambda is 0.4757777525667772 the regulation term lambda/alpha is 1.412425031651365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4238837515215361 the lambda is 0.5658612521178548 the regulation term lambda/alpha is 1.3349444277745692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38081436612796826 the lambda is 0.550007111265374 the regulation term lambda/alpha is 1.4442919180222065 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2924289609216176 the lambda is 0.48501831148742874 the regulation term lambda/alpha is 1.6585850798048443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2894980204711013 the lambda is 0.5071770851168538 the regulation term lambda/alpha is 1.751919008950467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31026511676204055 the lambda is 0.5667411720278034 the regulation term lambda/alpha is 1.8266351626711181 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3558525601936418 the lambda is 0.5334302591224849 the regulation term lambda/alpha is 1.4990204337217972 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35084517189019643 the lambda is 0.4988655817694205 the regulation term lambda/alpha is 1.421896670493587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32208841447767117 the lambda is 0.4619471810178964 the regulation term lambda/alpha is 1.434224766410904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4122519401412316 the lambda is 0.5587868617033719 the regulation term lambda/alpha is 1.3554499258680008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945042052324655 the lambda is 0.5176128144000525 the regulation term lambda/alpha is 1.7575735938693209 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058228424756761 the lambda is 0.48530580576458826 the regulation term lambda/alpha is 1.586885406714469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37158885962643595 the lambda is 0.4901959302017704 the regulation term lambda/alpha is 1.3191889840146767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3162989350308724 the lambda is 0.4716728592680335 the regulation term lambda/alpha is 1.4912249363786059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32434718899554205 the lambda is 0.5337440839786626 the regulation term lambda/alpha is 1.6455949121421198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3409365056683275 the lambda is 0.5202118358277847 the regulation term lambda/alpha is 1.5258320161639165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.327614880115516 the lambda is 0.47187125456871004 the regulation term lambda/alpha is 1.440323023186034 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919102733361171 the lambda is 0.5527060118653682 the regulation term lambda/alpha is 1.8934106208347128 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32021684103966186 the lambda is 0.54442314501428 the regulation term lambda/alpha is 1.7001702447837468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3119564477452905 the lambda is 0.461582580775836 the regulation term lambda/alpha is 1.4796378921224087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31426875625169176 the lambda is 0.5038714712074558 the regulation term lambda/alpha is 1.603313919007319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31824575736510763 the lambda is 0.4838247006101637 the regulation term lambda/alpha is 1.520286412035638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26904754399734415 the lambda is 0.42103388275770187 the regulation term lambda/alpha is 1.5649051335025679 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3116256770599625 the lambda is 0.5912230425582006 the regulation term lambda/alpha is 1.8972218468519793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32549349589015686 the lambda is 0.4565359716974769 the regulation term lambda/alpha is 1.4025962959688216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3464691185200083 the lambda is 0.5228334900837226 the regulation term lambda/alpha is 1.5090334524389348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3650224907202472 the lambda is 0.5400846806910813 the regulation term lambda/alpha is 1.4795928865243582 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2984349122709761 the lambda is 0.4675400869847113 the regulation term lambda/alpha is 1.5666400536951561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3896602804929337 the lambda is 0.5023760021301406 the regulation term lambda/alpha is 1.2892666439972214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30489803499286716 the lambda is 0.5197889890287833 the regulation term lambda/alpha is 1.7047961264851819 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321870237227152 the lambda is 0.5708360275227986 the regulation term lambda/alpha is 1.7734973958463425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2586014975933742 the lambda is 0.44883429641279815 the regulation term lambda/alpha is 1.7356214120559603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31275292699947066 the lambda is 0.5665399695913761 the regulation term lambda/alpha is 1.8114617664068575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32596971855488854 the lambda is 0.46975254333695543 the regulation term lambda/alpha is 1.4410925819106597 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2910692779404245 the lambda is 0.4812833478791403 the regulation term lambda/alpha is 1.653501019704486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3751092189055527 the lambda is 0.5549621344679085 the regulation term lambda/alpha is 1.4794681295413332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27719810878427675 the lambda is 0.4924580814690481 the regulation term lambda/alpha is 1.7765564261201099 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217666207246745 the lambda is 0.5993115892158217 the regulation term lambda/alpha is 1.862566066878123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35015437623930173 the lambda is 0.5499534422329209 the regulation term lambda/alpha is 1.5706027956568303 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37290137790295064 the lambda is 0.5548758370888552 the regulation term lambda/alpha is 1.4879962101756146 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.27671674049638617 the lambda is 0.4906837775935754 the regulation term lambda/alpha is 1.7732348852959388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3085310951495928 the lambda is 0.5448585507812285 the regulation term lambda/alpha is 1.7659761344867075 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28967141681720854 the lambda is 0.4739955633897591 the regulation term lambda/alpha is 1.6363214865927374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2756441051590933 the lambda is 0.4795566338280174 the regulation term lambda/alpha is 1.7397674205702023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29182409199937515 the lambda is 0.4865705201583353 the regulation term lambda/alpha is 1.6673418456464422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41989839074757146 the lambda is 0.549359194202603 the regulation term lambda/alpha is 1.30831459778768 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24480352170213132 the lambda is 0.5471566148007266 the regulation term lambda/alpha is 2.2350847365116273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3980596998158206 the lambda is 0.5028106407897956 the regulation term lambda/alpha is 1.2631538460749545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3541610858150305 the lambda is 0.5674351897109292 the regulation term lambda/alpha is 1.602195194328285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215211245430764 the lambda is 0.5006005753395361 the regulation term lambda/alpha is 1.556975691880137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3338753854034486 the lambda is 0.5033071944122335 the regulation term lambda/alpha is 1.5074702012070964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3235329228991852 the lambda is 0.5150201925933319 the regulation term lambda/alpha is 1.5918633194366287 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30209390676825704 the lambda is 0.5497986815317552 the regulation term lambda/alpha is 1.819959519916825 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34706724512983844 the lambda is 0.4645321476820422 the regulation term lambda/alpha is 1.3384499810930297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32534375983846414 the lambda is 0.5388799236777435 the regulation term lambda/alpha is 1.6563401245049294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3513627750536273 the lambda is 0.5602091269673745 the regulation term lambda/alpha is 1.594389522002926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30418302855152723 the lambda is 0.5194989740324718 the regulation term lambda/alpha is 1.7078499629195159 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32646431470595877 the lambda is 0.5478021230397535 the regulation term lambda/alpha is 1.6779846934668807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31850563074607136 the lambda is 0.533385443581919 the regulation term lambda/alpha is 1.6746499656301541 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35088951062440354 the lambda is 0.5635770178193303 the regulation term lambda/alpha is 1.606138116857503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30482853134837884 the lambda is 0.5547149673119686 the regulation term lambda/alpha is 1.8197606531719384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3421037036646722 the lambda is 0.4991722638466014 the regulation term lambda/alpha is 1.4591255765412199 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36712249500265287 the lambda is 0.5008424736403205 the regulation term lambda/alpha is 1.3642380416833388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2863461193708728 the lambda is 0.4747979971583733 the regulation term lambda/alpha is 1.6581261803077534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32882489172098245 the lambda is 0.5463055474858857 the regulation term lambda/alpha is 1.6613874473634493 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28675590837073117 the lambda is 0.5226566902927803 the regulation term lambda/alpha is 1.8226536055085072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.320960292290688 the lambda is 0.4299425242581129 the regulation term lambda/alpha is 1.339550513210281 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2986482366748137 the lambda is 0.5149001074231649 the regulation term lambda/alpha is 1.7241022855387536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29726021776196765 the lambda is 0.496466922774584 the regulation term lambda/alpha is 1.6701424984224829 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3712741599266933 the lambda is 0.5435316207055298 the regulation term lambda/alpha is 1.4639629669160066 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3328759834219053 the lambda is 0.5001527402113163 the regulation term lambda/alpha is 1.5025197524610698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37676459246504723 the lambda is 0.5239063800989296 the regulation term lambda/alpha is 1.3905403813855806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3043686370358299 the lambda is 0.4493996741830682 the regulation term lambda/alpha is 1.4764979682521147 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3271050584291324 the lambda is 0.48748132636836156 the regulation term lambda/alpha is 1.4902897824613581 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3209474382714336 the lambda is 0.513171159688141 the regulation term lambda/alpha is 1.598925862913848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.364458421357735 the lambda is 0.4889578663902533 the regulation term lambda/alpha is 1.341601230035279 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37988563062879066 the lambda is 0.6030529873199241 the regulation term lambda/alpha is 1.5874593264339703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.301066173675119 the lambda is 0.5261267649975251 the regulation term lambda/alpha is 1.747545260814552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105033662035905 the lambda is 0.5006996460613107 the regulation term lambda/alpha is 1.6125417646294131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28228686592307417 the lambda is 0.5474129967943021 the regulation term lambda/alpha is 1.9392081703988215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29225486948386864 the lambda is 0.49977677275356586 the regulation term lambda/alpha is 1.7100716701014682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3437738400192797 the lambda is 0.5390084260812238 the regulation term lambda/alpha is 1.5679157729133633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29858904876874265 the lambda is 0.5146193594992666 the regulation term lambda/alpha is 1.7235037976822771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308059285713287 the lambda is 0.5190071567653917 the regulation term lambda/alpha is 1.68476387771812 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2998694261317043 the lambda is 0.44033172077761246 the regulation term lambda/alpha is 1.4684115231681416 530 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3481670115667614 the lambda is 0.6037418040186405 the regulation term lambda/alpha is 1.7340580352566584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29725580737764 the lambda is 0.5150004596419189 the regulation term lambda/alpha is 1.7325160580888215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3147909704369711 the lambda is 0.5009277854237547 the regulation term lambda/alpha is 1.5913029040458224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37504793710450923 the lambda is 0.521695105971275 the regulation term lambda/alpha is 1.3910091333895318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3274534007017489 the lambda is 0.5332898814008996 the regulation term lambda/alpha is 1.6285977798918347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3504092159652092 the lambda is 0.5986990175177457 the regulation term lambda/alpha is 1.7085709799858353 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.31566881610017955 the lambda is 0.49028132721646756 the regulation term lambda/alpha is 1.5531509677562625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3667389475197487 the lambda is 0.5701501239478758 the regulation term lambda/alpha is 1.554648416274831 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971348076050189 the lambda is 0.49232226013869007 the regulation term lambda/alpha is 1.656898645119806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3226164800079227 the lambda is 0.5208184115504736 the regulation term lambda/alpha is 1.6143577399941984 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2659069032172523 the lambda is 0.512130982632988 the regulation term lambda/alpha is 1.9259785151744055 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32259976323281025 the lambda is 0.465457100590257 the regulation term lambda/alpha is 1.4428315009467352 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282578739541178 the lambda is 0.5456364105789664 the regulation term lambda/alpha is 1.6622188037909262 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27180308475429565 the lambda is 0.5157431978845908 the regulation term lambda/alpha is 1.897488390725263 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3371351686728526 the lambda is 0.4686945975249523 the regulation term lambda/alpha is 1.3902275439551122 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32260905824819064 the lambda is 0.5586143643717123 the regulation term lambda/alpha is 1.731552013465032 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3334937423521033 the lambda is 0.5162450089478847 the regulation term lambda/alpha is 1.5479900921284224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3017926821810488 the lambda is 0.5940189320284525 the regulation term lambda/alpha is 1.9683013111368082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3203412103646762 the lambda is 0.5298691010007506 the regulation term lambda/alpha is 1.6540772272089124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3649499913150422 the lambda is 0.5146982569453148 the regulation term lambda/alpha is 1.4103254396326395 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32678416665299986 the lambda is 0.5034999635311469 the regulation term lambda/alpha is 1.5407722127057493 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2842942599101861 the lambda is 0.5032886628933645 the regulation term lambda/alpha is 1.7703089153202138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2812133359517316 the lambda is 0.493941838801072 the regulation term lambda/alpha is 1.756466623922323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2824200912410997 the lambda is 0.4297998033545305 the regulation term lambda/alpha is 1.521845706747591 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33686247539693487 the lambda is 0.4834591800020787 the regulation term lambda/alpha is 1.435182649632924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34531784021585277 the lambda is 0.45665195654345475 the regulation term lambda/alpha is 1.322410554456175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35146602657247467 the lambda is 0.48996586222339616 the regulation term lambda/alpha is 1.3940632242654665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308379304441105 the lambda is 0.5046304289465839 the regulation term lambda/alpha is 1.6363952498730647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.372056396987563 the lambda is 0.5083487497177974 the regulation term lambda/alpha is 1.366321756147067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33632663008703184 the lambda is 0.5150771422015357 the regulation term lambda/alpha is 1.53147891401953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3456478786598803 the lambda is 0.45252474724589187 the regulation term lambda/alpha is 1.3092073615506812 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3318882035874517 the lambda is 0.46386914153998066 the regulation term lambda/alpha is 1.3976668544585746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3007906602318768 the lambda is 0.5305363399592105 the regulation term lambda/alpha is 1.763805895935149 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3244220949585983 the lambda is 0.4551782052417944 the regulation term lambda/alpha is 1.4030431721978824 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31503373446349753 the lambda is 0.5455305896664181 the regulation term lambda/alpha is 1.7316576924546088 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295032547955488 the lambda is 0.49372839125004886 the regulation term lambda/alpha is 1.498402167700586 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3779393361003398 the lambda is 0.5072619102877176 the regulation term lambda/alpha is 1.3421781271083244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3557050685940789 the lambda is 0.579246232147376 the regulation term lambda/alpha is 1.6284452578560142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30174144095652494 the lambda is 0.49634318829256996 the regulation term lambda/alpha is 1.6449288063288705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3048162001000327 the lambda is 0.5250708505796007 the regulation term lambda/alpha is 1.7225818391781218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37324310843528596 the lambda is 0.5534872419699789 the regulation term lambda/alpha is 1.4829134938092077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24392144748630107 the lambda is 0.4890728135826463 the regulation term lambda/alpha is 2.0050422733331525 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3849123460632219 the lambda is 0.5217693753298357 the regulation term lambda/alpha is 1.3555537531241855 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29610384804960493 the lambda is 0.5197334006407062 the regulation term lambda/alpha is 1.7552402782473722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.299850156368917 the lambda is 0.5495414806296647 the regulation term lambda/alpha is 1.8327203403340668 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2958272357701326 the lambda is 0.5269035931448386 the regulation term lambda/alpha is 1.7811192798835462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3072891475962424 the lambda is 0.49270257656654337 the regulation term lambda/alpha is 1.6033842406108074 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2936356767110562 the lambda is 0.48958981843494176 the regulation term lambda/alpha is 1.6673376475185901 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27885061100486735 the lambda is 0.46211799653154895 the regulation term lambda/alpha is 1.657224256623496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3548178310708076 the lambda is 0.5265522345456745 the regulation term lambda/alpha is 1.4840072522753105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3455292859283665 the lambda is 0.4476532075263637 the regulation term lambda/alpha is 1.2955579331679834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159501401012137 the lambda is 0.45254191818823875 the regulation term lambda/alpha is 1.432320675797986 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32580748135929716 the lambda is 0.47551646104579093 the regulation term lambda/alpha is 1.4595013566351973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31413863343563736 the lambda is 0.5071396613605074 the regulation term lambda/alpha is 1.614381700888163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3428719901792653 the lambda is 0.5458795265704586 the regulation term lambda/alpha is 1.5920796746478298 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2913975593071135 the lambda is 0.4830008314853878 the regulation term lambda/alpha is 1.657532179177717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29010466253226663 the lambda is 0.49291507662864653 the regulation term lambda/alpha is 1.6990939488048473 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33563904313855086 the lambda is 0.47241916722582905 the regulation term lambda/alpha is 1.4075214933526543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38134124400361236 the lambda is 0.506400859672775 the regulation term lambda/alpha is 1.3279467344161127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3088120811769942 the lambda is 0.5465830699330564 the regulation term lambda/alpha is 1.7699536489953087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29246175895884274 the lambda is 0.4542687561105855 the regulation term lambda/alpha is 1.5532586473109236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35812624510707336 the lambda is 0.5848156440715044 the regulation term lambda/alpha is 1.632987394980379 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36520026104811626 the lambda is 0.5159306914884401 the regulation term lambda/alpha is 1.4127336327956912 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909996987128449 the lambda is 0.44779847588168187 the regulation term lambda/alpha is 1.5388279708274342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3576915717790076 the lambda is 0.5451841083979946 the regulation term lambda/alpha is 1.5241737614517386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3353252658220422 the lambda is 0.5369159187904676 the regulation term lambda/alpha is 1.6011794323765929 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2880730896518756 the lambda is 0.4754455198241728 the regulation term lambda/alpha is 1.6504336465399425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3547681594896797 the lambda is 0.6167157281114024 the regulation term lambda/alpha is 1.7383626788788604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34312610119013914 the lambda is 0.591588376756242 the regulation term lambda/alpha is 1.7241135976083046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2933573363245797 the lambda is 0.4785687699373182 the regulation term lambda/alpha is 1.6313509521637282 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2856797128744078 the lambda is 0.4297432884043656 the regulation term lambda/alpha is 1.504283535153551 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35551171308812246 the lambda is 0.527298624356867 the regulation term lambda/alpha is 1.4832102711230863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2920526194358854 the lambda is 0.543504542098365 the regulation term lambda/alpha is 1.860981569513644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35410588801910997 the lambda is 0.5576603907942992 the regulation term lambda/alpha is 1.574840774079995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3466601521679992 the lambda is 0.5154094432117101 the regulation term lambda/alpha is 1.4867859486830526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3207939246443709 the lambda is 0.5353133670117154 the regulation term lambda/alpha is 1.668714167842046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3143184887984709 the lambda is 0.5801118388991966 the regulation term lambda/alpha is 1.845617930770666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.397201268001195 the lambda is 0.5061736553297107 the regulation term lambda/alpha is 1.2743505524966952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29447646223610136 the lambda is 0.4866644046059466 the regulation term lambda/alpha is 1.6526427983767185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34032272706429717 the lambda is 0.4611537468767229 the regulation term lambda/alpha is 1.3550483414808707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2951460570054091 the lambda is 0.5373480895763424 the regulation term lambda/alpha is 1.8206175445077843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3388081999134406 the lambda is 0.519363192111343 the regulation term lambda/alpha is 1.5329121085145843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3989639917478395 the lambda is 0.5304436094340828 the regulation term lambda/alpha is 1.3295525922282816 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32003516807595844 the lambda is 0.5116981206237504 the regulation term lambda/alpha is 1.598880909557733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2805508096183173 the lambda is 0.5175124478900683 the regulation term lambda/alpha is 1.8446300283151267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3255620226540558 the lambda is 0.509530459024598 the regulation term lambda/alpha is 1.5650795349862665 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.26509567829237446 the lambda is 0.5061331933895407 the regulation term lambda/alpha is 1.9092472448054227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3639637425602955 the lambda is 0.5695437488491429 the regulation term lambda/alpha is 1.5648364994894797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3661311708396509 the lambda is 0.5209697619473705 the regulation term lambda/alpha is 1.4229046949283977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2962986423959538 the lambda is 0.42911999578630633 the regulation term lambda/alpha is 1.4482685182636068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3367432067110029 the lambda is 0.5255203389907656 the regulation term lambda/alpha is 1.5605967054942655 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3103172388990188 the lambda is 0.46618337833947804 the regulation term lambda/alpha is 1.5022799893214442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28353735302061545 the lambda is 0.47759377021609756 the regulation term lambda/alpha is 1.6844121775425218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129728301797838 the lambda is 0.5083251620912831 the regulation term lambda/alpha is 1.6241830378671571 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.313981468512477 the lambda is 0.5007823193882056 the regulation term lambda/alpha is 1.5949422803859061 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2999903336442093 the lambda is 0.44576491369636784 the regulation term lambda/alpha is 1.4859309241112024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28939778256086673 the lambda is 0.4840397746074122 the regulation term lambda/alpha is 1.6725759621382308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3213596749588116 the lambda is 0.5120267615310706 the regulation term lambda/alpha is 1.5933136651220992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34973162711019584 the lambda is 0.49590277770215063 the regulation term lambda/alpha is 1.4179523361949138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3179902928804508 the lambda is 0.5046989350612892 the regulation term lambda/alpha is 1.5871520180367014 540 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28595922140957075 the lambda is 0.4701468577605459 the regulation term lambda/alpha is 1.6441045525409679 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32623357564772465 the lambda is 0.5138799284935595 the regulation term lambda/alpha is 1.5751901914855635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35403050922778534 the lambda is 0.5152462668946282 the regulation term lambda/alpha is 1.4553724988800771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25694688526844883 the lambda is 0.5435564552876929 the regulation term lambda/alpha is 2.1154428656327346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2773911816819 the lambda is 0.48166147592463043 the regulation term lambda/alpha is 1.7363979381182297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2636505715930414 the lambda is 0.48736878712905884 the regulation term lambda/alpha is 1.848540605029821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2715192815595552 the lambda is 0.5363963323588643 the regulation term lambda/alpha is 1.9755367989997088 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29376614354551894 the lambda is 0.458444825142808 the regulation term lambda/alpha is 1.5605774702617226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3243256933941232 the lambda is 0.4874913870691607 the regulation term lambda/alpha is 1.503092098462755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.335363864613685 the lambda is 0.5058950820279776 the regulation term lambda/alpha is 1.5084961005286968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30109074827307175 the lambda is 0.4810142975350037 the regulation term lambda/alpha is 1.5975724936548092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31716076007894395 the lambda is 0.5463617337543106 the regulation term lambda/alpha is 1.7226649779068401 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3223955368244489 the lambda is 0.5074449382183691 the regulation term lambda/alpha is 1.5739825160628185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.316618644249916 the lambda is 0.5439707261059289 the regulation term lambda/alpha is 1.7180628367436175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34075898026514606 the lambda is 0.5332188724709477 the regulation term lambda/alpha is 1.564797711438295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973167747485788 the lambda is 0.5616197588084415 the regulation term lambda/alpha is 1.888960887872426 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.37797260522126597 the lambda is 0.48866842192577353 the regulation term lambda/alpha is 1.2928673008979208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29783715371717384 the lambda is 0.4650524502741874 the regulation term lambda/alpha is 1.5614319586058132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.271455879443178 the lambda is 0.4903640442347515 the regulation term lambda/alpha is 1.8064226320704762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30357968491636833 the lambda is 0.5066031877711298 the regulation term lambda/alpha is 1.6687651148682474 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.294998276149187 the lambda is 0.4705003072381174 the regulation term lambda/alpha is 1.5949256157692775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38050010517856 the lambda is 0.5802443093294644 the regulation term lambda/alpha is 1.524951771188523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35686255853978216 the lambda is 0.5606883799893965 the regulation term lambda/alpha is 1.571160567484673 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33630629094587633 the lambda is 0.5005359831114943 the regulation term lambda/alpha is 1.488333690409759 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161946906314618 the lambda is 0.5100987721007547 the regulation term lambda/alpha is 1.6132426862767795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3356303849258256 the lambda is 0.5218853794322459 the regulation term lambda/alpha is 1.5549408005701948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129713217673407 the lambda is 0.49675912659579274 the regulation term lambda/alpha is 1.5872352897722615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3357035667532471 the lambda is 0.49400088957534477 the regulation term lambda/alpha is 1.4715389960049228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33419772825908245 the lambda is 0.5159127883320997 the regulation term lambda/alpha is 1.5437351744418355 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3276421114634447 the lambda is 0.5323511459273211 the regulation term lambda/alpha is 1.6247946381175609 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3339867117574583 the lambda is 0.552361009054582 the regulation term lambda/alpha is 1.6538412745465976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3453879228685077 the lambda is 0.5883598102180144 the regulation term lambda/alpha is 1.7034753425411702 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32991055571629907 the lambda is 0.5373511851675518 the regulation term lambda/alpha is 1.6287783941949336 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2792446996247758 the lambda is 0.48628132216911474 the regulation term lambda/alpha is 1.741416481038087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27121935773815736 the lambda is 0.4598040990340573 the regulation term lambda/alpha is 1.695321834210539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3545571619603687 the lambda is 0.5129634172858365 the regulation term lambda/alpha is 1.4467721211711808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2933735030898228 the lambda is 0.55048387047243 the regulation term lambda/alpha is 1.8763926008133296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3075777004889801 the lambda is 0.480831644636495 the regulation term lambda/alpha is 1.5632851272120174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3037509982525141 the lambda is 0.5316695544982082 the regulation term lambda/alpha is 1.7503466904040295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33211763870582023 the lambda is 0.531345156954395 the regulation term lambda/alpha is 1.5998703321657797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40246458643993793 the lambda is 0.5520221054423342 the regulation term lambda/alpha is 1.3716041710037898 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32514650877315104 the lambda is 0.566160912286793 the regulation term lambda/alpha is 1.7412486279586457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.314336603250066 the lambda is 0.5065069859910738 the regulation term lambda/alpha is 1.6113522280067694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33463868595678953 the lambda is 0.49936841685005456 the regulation term lambda/alpha is 1.4922614682826476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31457526796350055 the lambda is 0.5422255093263555 the regulation term lambda/alpha is 1.7236749501530066 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33621287109688164 the lambda is 0.4985917757585002 the regulation term lambda/alpha is 1.4829645698329859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875016200193151 the lambda is 0.561819270518016 the regulation term lambda/alpha is 1.9541429731083653 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28672944556243884 the lambda is 0.5382468773881839 the regulation term lambda/alpha is 1.877194287919669 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.353665557681856 the lambda is 0.5294211365969845 the regulation term lambda/alpha is 1.4969541848155639 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3209142864242398 the lambda is 0.5504665411878382 the regulation term lambda/alpha is 1.7153070600918547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171614715507492 the lambda is 0.5515422542072964 the regulation term lambda/alpha is 1.738995129233545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31265385051706407 the lambda is 0.5090643802117647 the regulation term lambda/alpha is 1.628204416385337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29784893420148517 the lambda is 0.5030086002685613 the regulation term lambda/alpha is 1.6888044324116744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3566012033922848 the lambda is 0.527232888601453 the regulation term lambda/alpha is 1.4784944178145751 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3262751851512196 the lambda is 0.5033535339683163 the regulation term lambda/alpha is 1.54272698898332 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2989514284300908 the lambda is 0.531182051179727 the regulation term lambda/alpha is 1.7768172373992952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38857733449878384 the lambda is 0.48101827771841243 the regulation term lambda/alpha is 1.2378958704291536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3445414819965657 the lambda is 0.47913378685108965 the regulation term lambda/alpha is 1.3906418004432497 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32647585147601227 the lambda is 0.5571855184057439 the regulation term lambda/alpha is 1.706666866436469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3074501065354138 the lambda is 0.5113694242581321 the regulation term lambda/alpha is 1.6632598700993775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3052580961701589 the lambda is 0.5435761625683321 the regulation term lambda/alpha is 1.7807100594158471 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3732470578619271 the lambda is 0.5278441412938422 the regulation term lambda/alpha is 1.4141950490313153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34519885638019876 the lambda is 0.5481751624681374 the regulation term lambda/alpha is 1.587998199693867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3563364590273402 the lambda is 0.5644588788038413 the regulation term lambda/alpha is 1.584061536516904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30701146580035765 the lambda is 0.5260633613362835 the regulation term lambda/alpha is 1.7134974420739393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34713622581465914 the lambda is 0.4956170797419261 the regulation term lambda/alpha is 1.4277307952484999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3504912353094198 the lambda is 0.5193561722324647 the regulation term lambda/alpha is 1.4817950348286684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3205128404450477 the lambda is 0.5362274817853453 the regulation term lambda/alpha is 1.673029639126992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3093169679415432 the lambda is 0.5247790242171795 the regulation term lambda/alpha is 1.696573672338453 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29031934429405054 the lambda is 0.4772380283194485 the regulation term lambda/alpha is 1.6438381998964458 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32395417338952065 the lambda is 0.4759281327052031 the regulation term lambda/alpha is 1.469121782644701 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2977000669911886 the lambda is 0.5318563495595405 the regulation term lambda/alpha is 1.7865509905151702 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2524922996858045 the lambda is 0.4308309687582331 the regulation term lambda/alpha is 1.7063132986405887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3708237622678622 the lambda is 0.53185760722647 the regulation term lambda/alpha is 1.4342597787524902 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26914912291621695 the lambda is 0.49062160020192785 the regulation term lambda/alpha is 1.822861597638023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3061783142732016 the lambda is 0.5483291324065603 the regulation term lambda/alpha is 1.7908816753014345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31019358267261854 the lambda is 0.5036130769947771 the regulation term lambda/alpha is 1.6235444739238705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33980567530379724 the lambda is 0.46142693766322107 the regulation term lambda/alpha is 1.357914158586935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3467326794293206 the lambda is 0.5445974542909939 the regulation term lambda/alpha is 1.5706551086771932 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29756605619515236 the lambda is 0.547416449230712 the regulation term lambda/alpha is 1.8396468207102914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39142376620940506 the lambda is 0.4948693372431175 the regulation term lambda/alpha is 1.2642802506232358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33024614784545203 the lambda is 0.5534043900295175 the regulation term lambda/alpha is 1.6757330665019554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38765239131958146 the lambda is 0.6168142640813168 the regulation term lambda/alpha is 1.5911529965845452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215627003291455 the lambda is 0.4685360475975246 the regulation term lambda/alpha is 1.4570596873267325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36843783149063175 the lambda is 0.4645856609116804 the regulation term lambda/alpha is 1.2609607950194806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30160422395096476 the lambda is 0.5131756079427241 the regulation term lambda/alpha is 1.7014868068497506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30445913736881997 the lambda is 0.579798935222426 the regulation term lambda/alpha is 1.9043571502998153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30513724430102435 the lambda is 0.43469012931884643 the regulation term lambda/alpha is 1.424572507740207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3403848362463357 the lambda is 0.5567441671659541 the regulation term lambda/alpha is 1.6356315202097889 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29949256923074286 the lambda is 0.47618538096481616 the regulation term lambda/alpha is 1.589973942218049 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3992359590788481 the lambda is 0.5887813838286304 the regulation term lambda/alpha is 1.4747704219507631 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37813724218127975 the lambda is 0.5038291209725804 the regulation term lambda/alpha is 1.3323975127819958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3046060881622119 the lambda is 0.5060005583535261 the regulation term lambda/alpha is 1.6611636405772217 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3605252471955759 the lambda is 0.44464818049069166 the regulation term lambda/alpha is 1.2333343751914305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29460875504073974 the lambda is 0.5256580331201711 the regulation term lambda/alpha is 1.784258017204821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3060936647080218 the lambda is 0.4733597959854547 the regulation term lambda/alpha is 1.546454077829365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30793431433020746 the lambda is 0.4411903172345965 the regulation term lambda/alpha is 1.4327416487968747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30692464399322733 the lambda is 0.4275047420686744 the regulation term lambda/alpha is 1.3928654815939374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35288012227601917 the lambda is 0.609545778350752 the regulation term lambda/alpha is 1.7273451800551451 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31860569897813257 the lambda is 0.550198578312391 the regulation term lambda/alpha is 1.7268949679087624 550 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32810511237109613 the lambda is 0.4648235003434214 the regulation term lambda/alpha is 1.416690818940038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29552304027970705 the lambda is 0.5132942324710932 the regulation term lambda/alpha is 1.7369008926859637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282505385716222 the lambda is 0.5421384577882734 the regulation term lambda/alpha is 1.6515995987314496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31498802514693425 the lambda is 0.474804659809601 the regulation term lambda/alpha is 1.507373683771363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30391138901714154 the lambda is 0.4721590210010549 the regulation term lambda/alpha is 1.553607525298842 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33193597265957875 the lambda is 0.47840497595670856 the regulation term lambda/alpha is 1.4412567945666528 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31280275605253577 the lambda is 0.5229060173007503 the regulation term lambda/alpha is 1.6716796996920553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36972100775179445 the lambda is 0.5841954198776883 the regulation term lambda/alpha is 1.5800979863981042 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27838482321187813 the lambda is 0.5014146245444556 the regulation term lambda/alpha is 1.8011564666469981 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2894555344523288 the lambda is 0.526783037398455 the regulation term lambda/alpha is 1.8199100542166773 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24436071462370754 the lambda is 0.4289344190758295 the regulation term lambda/alpha is 1.7553329705077516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2979143991527404 the lambda is 0.5186996272019923 the regulation term lambda/alpha is 1.7411029096853272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29648909818369557 the lambda is 0.4816426474964998 the regulation term lambda/alpha is 1.6244868713455656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37965055211991217 the lambda is 0.4953860946750605 the regulation term lambda/alpha is 1.3048475549657397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3299755540852583 the lambda is 0.5121906408678766 the regulation term lambda/alpha is 1.552207836388807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37994334048110806 the lambda is 0.5197988091689582 the regulation term lambda/alpha is 1.3680955915973059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.338592650999434 the lambda is 0.4845751475120689 the regulation term lambda/alpha is 1.4311449054837253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33404817621651733 the lambda is 0.5201301501448999 the regulation term lambda/alpha is 1.5570513092930982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2925005574537684 the lambda is 0.4885717053312621 the regulation term lambda/alpha is 1.6703274331656068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38072367869731094 the lambda is 0.5082415262814804 the regulation term lambda/alpha is 1.3349354261875337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2933387453818051 the lambda is 0.5148959830337622 the regulation term lambda/alpha is 1.7552948294081698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3432049829937677 the lambda is 0.5796030281063818 the regulation term lambda/alpha is 1.688795491984179 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2644831830498967 the lambda is 0.47306429971849256 the regulation term lambda/alpha is 1.788636594067478 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3177374049904203 the lambda is 0.5439691386820862 the regulation term lambda/alpha is 1.712008501795647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2869515428257314 the lambda is 0.45480194628946236 the regulation term lambda/alpha is 1.5849433734031821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190773571210577 the lambda is 0.49793465281112376 the regulation term lambda/alpha is 1.5605452461554885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34898428814397603 the lambda is 0.5384708961689564 the regulation term lambda/alpha is 1.5429660144092396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3165625429517678 the lambda is 0.5472891570425965 the regulation term lambda/alpha is 1.728850014721997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31525502547095 the lambda is 0.45494350684728624 the regulation term lambda/alpha is 1.4430967632241858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4100561074807617 the lambda is 0.5092537659635298 the regulation term lambda/alpha is 1.2419124033835347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2985564570414382 the lambda is 0.53818559993862 the regulation term lambda/alpha is 1.8026258928438532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3122237199270421 the lambda is 0.48725375852395825 the regulation term lambda/alpha is 1.5605917405564693 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3464842016647674 the lambda is 0.5252500233133478 the regulation term lambda/alpha is 1.515942201086389 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3108003466110722 the lambda is 0.51728432637164 the regulation term lambda/alpha is 1.6643621283310752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28389097300495814 the lambda is 0.42706420462607103 the regulation term lambda/alpha is 1.504324706437962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33581020373471476 the lambda is 0.5538604343624769 the regulation term lambda/alpha is 1.6493258042868129 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30548387742593713 the lambda is 0.5184030646043449 the regulation term lambda/alpha is 1.6969899327339424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2914762746717175 the lambda is 0.5055835684277546 the regulation term lambda/alpha is 1.7345616517062354 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3348906255023981 the lambda is 0.47498582357667224 the regulation term lambda/alpha is 1.41833120250561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3050860496282812 the lambda is 0.49347720132904044 the regulation term lambda/alpha is 1.617501691507351 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3461605836250688 the lambda is 0.5326645849860199 the regulation term lambda/alpha is 1.5387788505780775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2743193739674632 the lambda is 0.4938992766111649 the regulation term lambda/alpha is 1.8004534986644651 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2936908667669599 the lambda is 0.48421640432946106 the regulation term lambda/alpha is 1.648728166659949 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3391438944917169 the lambda is 0.5615605462071825 the regulation term lambda/alpha is 1.6558179443236236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3501702079186189 the lambda is 0.585177430672757 the regulation term lambda/alpha is 1.671122835237756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33734132701702413 the lambda is 0.521214723149315 the regulation term lambda/alpha is 1.5450663212782454 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29319990174772104 the lambda is 0.557964868792855 the regulation term lambda/alpha is 1.903018607669748 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3375470753677686 the lambda is 0.50094464531507 the regulation term lambda/alpha is 1.4840734281856074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28728565658661054 the lambda is 0.4840136475803895 the regulation term lambda/alpha is 1.684781806830198 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3105857148619529 the lambda is 0.45664972762454864 the regulation term lambda/alpha is 1.4702856756548424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3154431492215671 the lambda is 0.5237112191451302 the regulation term lambda/alpha is 1.6602396356919318 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28950939311426943 the lambda is 0.4385960910512078 the regulation term lambda/alpha is 1.514963249838646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2949647490650742 the lambda is 0.5017519967094906 the regulation term lambda/alpha is 1.7010574934796552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30675468889714513 the lambda is 0.5215745640955233 the regulation term lambda/alpha is 1.7002985870263494 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2727913890691454 the lambda is 0.4963523786407271 the regulation term lambda/alpha is 1.8195309622288514 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3702717691464223 the lambda is 0.5511541006119504 the regulation term lambda/alpha is 1.4885123483286649 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2963601533257673 the lambda is 0.49787214386013734 the regulation term lambda/alpha is 1.6799564255619157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.313714417305288 the lambda is 0.5485228858149652 the regulation term lambda/alpha is 1.7484784107998956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29095661240841975 the lambda is 0.550283916710362 the regulation term lambda/alpha is 1.8912920113941973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35818038217237635 the lambda is 0.49417163548768844 the regulation term lambda/alpha is 1.3796725339632518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31013883219863375 the lambda is 0.48665883549923905 the regulation term lambda/alpha is 1.5691644675683503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491702678298933 the lambda is 0.518340353038353 the regulation term lambda/alpha is 1.4844916672311717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32218434749051506 the lambda is 0.47159754735364795 the regulation term lambda/alpha is 1.4637506478105102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3278731166720545 the lambda is 0.5051365001642274 the regulation term lambda/alpha is 1.5406462880867278 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26965686875775774 the lambda is 0.5270449882382844 the regulation term lambda/alpha is 1.954502366901499 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33220850141000796 the lambda is 0.5788918544459353 the regulation term lambda/alpha is 1.7425558105494523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.306785427988795 the lambda is 0.511467427980567 the regulation term lambda/alpha is 1.667182927603875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2961838613046043 the lambda is 0.5513085629318981 the regulation term lambda/alpha is 1.8613727314632988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32345385793337117 the lambda is 0.5689800908764837 the regulation term lambda/alpha is 1.7590765326215059 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3034907424242248 the lambda is 0.49414332558591384 the regulation term lambda/alpha is 1.6281990074517378 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2706728713263452 the lambda is 0.4609194904775821 the regulation term lambda/alpha is 1.7028654856284435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3218938567241753 the lambda is 0.5802398355239027 the regulation term lambda/alpha is 1.8025812652308524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28276997574596113 the lambda is 0.5153210323796413 the regulation term lambda/alpha is 1.8224036375156134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2873324695513266 the lambda is 0.5423194236153472 the regulation term lambda/alpha is 1.8874282619788363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2884756205165814 the lambda is 0.5470220018341135 the regulation term lambda/alpha is 1.896250368937749 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3365011300597321 the lambda is 0.48561326931580967 the regulation term lambda/alpha is 1.4431252258487477 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41626272313249163 the lambda is 0.5455985833735645 the regulation term lambda/alpha is 1.310707284254965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3288397493523104 the lambda is 0.5179351519539152 the regulation term lambda/alpha is 1.5750381545237488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3174925989425491 the lambda is 0.5322981855610669 the regulation term lambda/alpha is 1.676568799820708 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3128778029166888 the lambda is 0.478625050716289 the regulation term lambda/alpha is 1.5297507405590367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30804790041281616 the lambda is 0.535638655061223 the regulation term lambda/alpha is 1.7388161202962644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3293530917144568 the lambda is 0.558754153977109 the regulation term lambda/alpha is 1.696520142162621 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36112190122623344 the lambda is 0.4989047403945003 the regulation term lambda/alpha is 1.381541077127719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3523899503153562 the lambda is 0.5077797841126416 the regulation term lambda/alpha is 1.4409598901961476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3311071980347642 the lambda is 0.49974903974833446 the regulation term lambda/alpha is 1.5093270176985518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2993736950554593 the lambda is 0.5096429007736389 the regulation term lambda/alpha is 1.7023636651818292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40430481338111146 the lambda is 0.5192185736852192 the regulation term lambda/alpha is 1.2842255558203957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3244478937542015 the lambda is 0.4828254930326686 the regulation term lambda/alpha is 1.4881449450815432 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32515966690725245 the lambda is 0.5104302159814228 the regulation term lambda/alpha is 1.5697833031887574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34538842878231774 the lambda is 0.5670746617556842 the regulation term lambda/alpha is 1.641846149145561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41079109995713553 the lambda is 0.5540244100099296 the regulation term lambda/alpha is 1.348676760688681 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3356796253785276 the lambda is 0.47025423996367716 the regulation term lambda/alpha is 1.400901944624721 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31759258245537014 the lambda is 0.5512520644371671 the regulation term lambda/alpha is 1.7357208413853056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945147859569838 the lambda is 0.48648011301443533 the regulation term lambda/alpha is 1.6518020018373187 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919990295177813 the lambda is 0.5801883562599445 the regulation term lambda/alpha is 1.986953029323729 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29479547104807746 the lambda is 0.5844126691662759 the regulation term lambda/alpha is 1.9824343538539826 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31144129855387326 the lambda is 0.5993416201726152 the regulation term lambda/alpha is 1.9244127961049482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151250530655724 the lambda is 0.521949500755826 the regulation term lambda/alpha is 1.6563249912320261 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31526807645559146 the lambda is 0.4811753033491661 the regulation term lambda/alpha is 1.5262417583118164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27177473376439937 the lambda is 0.4334851223403443 the regulation term lambda/alpha is 1.5950162707771471 560 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2995072023375181 the lambda is 0.4533189925694676 the regulation term lambda/alpha is 1.5135495541727149 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29050328191975805 the lambda is 0.5148815330544109 the regulation term lambda/alpha is 1.7723776807334999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3040965378011104 the lambda is 0.5041255253851611 the regulation term lambda/alpha is 1.6577812066866626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34620406262455283 the lambda is 0.5377696006584625 the regulation term lambda/alpha is 1.553331282659315 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33787143104286205 the lambda is 0.5090959564976654 the regulation term lambda/alpha is 1.506774203803819 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3507697943274053 the lambda is 0.552219927897752 the regulation term lambda/alpha is 1.5743086686144787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2988492162951689 the lambda is 0.4793721662484527 the regulation term lambda/alpha is 1.604060309045562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3074357730544963 the lambda is 0.5651641387862981 the regulation term lambda/alpha is 1.8383161242791244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33482434509630965 the lambda is 0.4915141802714222 the regulation term lambda/alpha is 1.4679762313282265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2903522804330593 the lambda is 0.5001719583879813 the regulation term lambda/alpha is 1.7226382986969375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171657397697141 the lambda is 0.5458022450189983 the regulation term lambda/alpha is 1.7208739046508976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2640161125385479 the lambda is 0.46966122321203807 the regulation term lambda/alpha is 1.7789112137747456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28684742314022355 the lambda is 0.46250911242253256 the regulation term lambda/alpha is 1.6123871965077334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2869391581555197 the lambda is 0.5399604291324669 the regulation term lambda/alpha is 1.8817941496845505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35192387125838204 the lambda is 0.5426648184363464 the regulation term lambda/alpha is 1.5419949107059083 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3201255958275265 the lambda is 0.5007034427761224 the regulation term lambda/alpha is 1.564084375951886 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28560314410540816 the lambda is 0.5379283531926569 the regulation term lambda/alpha is 1.883481902405537 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2878881786085043 the lambda is 0.4602323666080997 the regulation term lambda/alpha is 1.5986497564179742 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30023084858562443 the lambda is 0.5034553295835645 the regulation term lambda/alpha is 1.6768940698643144 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34692478435338586 the lambda is 0.45515027606759567 the regulation term lambda/alpha is 1.311956644769342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29585263688722313 the lambda is 0.5649171655729472 the regulation term lambda/alpha is 1.9094545565544159 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31993418901772014 the lambda is 0.4915880846141061 the regulation term lambda/alpha is 1.5365287658796558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3067760960104316 the lambda is 0.5226903875649024 the regulation term lambda/alpha is 1.7038171955455383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3694591739933113 the lambda is 0.5278477350186284 the regulation term lambda/alpha is 1.428703824872906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2759519884983074 the lambda is 0.503442370336349 the regulation term lambda/alpha is 1.8243839193767468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3047922594928341 the lambda is 0.4726821598096137 the regulation term lambda/alpha is 1.5508338715561338 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2587546638962847 the lambda is 0.5345116328965223 the regulation term lambda/alpha is 2.065708207334063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2987764051778614 the lambda is 0.5122574795080012 the regulation term lambda/alpha is 1.7145178489012698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27930195326862334 the lambda is 0.47095607819575463 the regulation term lambda/alpha is 1.6861897050279657 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3017037920242068 the lambda is 0.4747296368864827 the regulation term lambda/alpha is 1.5734957578802768 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30143065186175066 the lambda is 0.5407666184301915 the regulation term lambda/alpha is 1.794000096175391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28261819477073047 the lambda is 0.4708410341596544 the regulation term lambda/alpha is 1.6659968921732613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30587161154285464 the lambda is 0.559904410176964 the regulation term lambda/alpha is 1.8305210063553665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28097295727357174 the lambda is 0.46864741100748514 the regulation term lambda/alpha is 1.667944899591111 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34888095225046406 the lambda is 0.47063446388087954 the regulation term lambda/alpha is 1.3489829721142466 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28132580827808945 the lambda is 0.48895554814922876 the regulation term lambda/alpha is 1.7380401433554156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30900869532564595 the lambda is 0.5440595415070295 the regulation term lambda/alpha is 1.7606609449409745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2807336395177255 the lambda is 0.4693546130597639 the regulation term lambda/alpha is 1.6718858981989897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3643579094125137 the lambda is 0.592541095028885 the regulation term lambda/alpha is 1.6262611013008914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3464845073024589 the lambda is 0.5355268913757689 the regulation term lambda/alpha is 1.5456012609195484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3022612307257276 the lambda is 0.4712315907323937 the regulation term lambda/alpha is 1.5590209488691924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35199532672391526 the lambda is 0.5584960799211242 the regulation term lambda/alpha is 1.5866576557113672 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3274852568076929 the lambda is 0.5216404378647094 the regulation term lambda/alpha is 1.592866936819171 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3098916674366564 the lambda is 0.5081929233562185 the regulation term lambda/alpha is 1.6399050918660016 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3739176623953098 the lambda is 0.5317933033076837 the regulation term lambda/alpha is 1.4222203356242265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32765755365262994 the lambda is 0.48001366119859046 the regulation term lambda/alpha is 1.4649857933917272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2786569312881723 the lambda is 0.48884857357642664 the regulation term lambda/alpha is 1.7543025802967922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30072664488125084 the lambda is 0.5251041131439071 the regulation term lambda/alpha is 1.7461176855521305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3475461925218644 the lambda is 0.5299487578795065 the regulation term lambda/alpha is 1.52482970402896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3484445726890031 the lambda is 0.49437675308576307 the regulation term lambda/alpha is 1.4188103125572533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3137468055111315 the lambda is 0.517981293474179 the regulation term lambda/alpha is 1.6509532029507832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2900845117106994 the lambda is 0.5265647542214292 the regulation term lambda/alpha is 1.8152115434090155 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2901690308277994 the lambda is 0.4985703898374553 the regulation term lambda/alpha is 1.7182067583681304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3029728819309981 the lambda is 0.5033878809602487 the regulation term lambda/alpha is 1.661494843208096 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28220077046652714 the lambda is 0.5026741986655057 the regulation term lambda/alpha is 1.7812644445814143 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100349011654777 the lambda is 0.5191609564186109 the regulation term lambda/alpha is 1.6745242373261535 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3675507322625922 the lambda is 0.5551065887818005 the regulation term lambda/alpha is 1.5102856287746729 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33125984865697616 the lambda is 0.5244500136086374 the regulation term lambda/alpha is 1.583198252776213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3036481090436877 the lambda is 0.47336333295629923 the regulation term lambda/alpha is 1.5589207337635471 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891080436350078 the lambda is 0.5361988452153343 the regulation term lambda/alpha is 1.85466595281684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27888685216077314 the lambda is 0.49732019241440784 the regulation term lambda/alpha is 1.78323283640389 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29615100210353085 the lambda is 0.4756595211475015 the regulation term lambda/alpha is 1.6061384826285903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24478694731065292 the lambda is 0.47707806611991826 the regulation term lambda/alpha is 1.9489522270747164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31192549945161707 the lambda is 0.48445059822925157 the regulation term lambda/alpha is 1.5530971308243267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28094603273582525 the lambda is 0.4998320499312481 the regulation term lambda/alpha is 1.7791034280282658 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124230427221006 the lambda is 0.511667183942837 the regulation term lambda/alpha is 1.63773830343866 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29408567744946335 the lambda is 0.5151673633315265 the regulation term lambda/alpha is 1.7517594457487802 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2670300406123492 the lambda is 0.5184506043412124 the regulation term lambda/alpha is 1.9415441167304974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34700313259005144 the lambda is 0.5063709739076617 the regulation term lambda/alpha is 1.4592691718028004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3452404164268583 the lambda is 0.5081226515561077 the regulation term lambda/alpha is 1.4717936469172264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28850594123592194 the lambda is 0.46624139358024974 the regulation term lambda/alpha is 1.6160547390564375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33843153693888034 the lambda is 0.48203092322476115 the regulation term lambda/alpha is 1.4243085251000542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3326092005444677 the lambda is 0.5235232438794429 the regulation term lambda/alpha is 1.5739890629076307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36043314796506337 the lambda is 0.5247124816028964 the regulation term lambda/alpha is 1.4557830892228496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32537968671525686 the lambda is 0.5371090011686009 the regulation term lambda/alpha is 1.6507146054222819 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151614920604501 the lambda is 0.5217297574272702 the regulation term lambda/alpha is 1.655436246402841 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25882253545940453 the lambda is 0.49855987926479656 the regulation term lambda/alpha is 1.9262614763427122 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.275482287491624 the lambda is 0.4578373208047999 the regulation term lambda/alpha is 1.6619483051835786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29795295133561156 the lambda is 0.5352011825936008 the regulation term lambda/alpha is 1.7962607189977284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2606454680943041 the lambda is 0.503879200727073 the regulation term lambda/alpha is 1.933197628223348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28780176963944626 the lambda is 0.4508178297297926 the regulation term lambda/alpha is 1.5664178517545964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27199310636601776 the lambda is 0.47763270863892215 the regulation term lambda/alpha is 1.7560471109741205 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.30828389278593865 the lambda is 0.4790561103629539 the regulation term lambda/alpha is 1.5539446645549964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28147375679732206 the lambda is 0.4530875718119929 the regulation term lambda/alpha is 1.6096973905039504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240863456604728 the lambda is 0.5477802501175104 the regulation term lambda/alpha is 1.690229339965434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2594276371707544 the lambda is 0.4989265066028887 the regulation term lambda/alpha is 1.9231817860426987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3452411844110478 the lambda is 0.5348625068644499 the regulation term lambda/alpha is 1.549243053886749 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30110203163319726 the lambda is 0.4908973565636307 the regulation term lambda/alpha is 1.6303355839247284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2956736407129967 the lambda is 0.45753414203199455 the regulation term lambda/alpha is 1.5474295947676715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3290677757341484 the lambda is 0.5427409451033623 the regulation term lambda/alpha is 1.6493287557327978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3397714737934567 the lambda is 0.5062849627645166 the regulation term lambda/alpha is 1.4900749527674642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089316654070589 the lambda is 0.5446083731255169 the regulation term lambda/alpha is 1.762876500238078 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3400415952076547 the lambda is 0.5286050015362085 the regulation term lambda/alpha is 1.5545304132966526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30560736552573425 the lambda is 0.5106056533477107 the regulation term lambda/alpha is 1.6707897483731102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3780327683700754 the lambda is 0.47619432061569883 the regulation term lambda/alpha is 1.25966413617755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29579114125965666 the lambda is 0.5037418479250885 the regulation term lambda/alpha is 1.7030322334193397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28663398801592754 the lambda is 0.5314707335132618 the regulation term lambda/alpha is 1.8541790427300244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30866463369308506 the lambda is 0.5234929069156106 the regulation term lambda/alpha is 1.6959925102275761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2978113698463357 the lambda is 0.49194979370049124 the regulation term lambda/alpha is 1.651883855053374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34276284750920005 the lambda is 0.6027395537112414 the regulation term lambda/alpha is 1.758473994749572 570 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35958382650526155 the lambda is 0.5718959178497454 the regulation term lambda/alpha is 1.590438378188228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29502269054890745 the lambda is 0.45137417909750494 the regulation term lambda/alpha is 1.5299642826038098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3385410381122434 the lambda is 0.518650130170121 the regulation term lambda/alpha is 1.5320155366161616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3420077870515065 the lambda is 0.5439142086757149 the regulation term lambda/alpha is 1.5903562119590022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3312177287800589 the lambda is 0.5610357837787728 the regulation term lambda/alpha is 1.6938579521246637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30986100833758123 the lambda is 0.47884945362524456 the regulation term lambda/alpha is 1.5453685386047578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28183261747806615 the lambda is 0.5424455963186056 the regulation term lambda/alpha is 1.9247083647471068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24122206312316452 the lambda is 0.48889654151591055 the regulation term lambda/alpha is 2.026748860307554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2835551120516202 the lambda is 0.4978675262214543 the regulation term lambda/alpha is 1.7558051506079682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3119114709438554 the lambda is 0.5108403978937323 the regulation term lambda/alpha is 1.6377736809355254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3551689913240657 the lambda is 0.5064577816281591 the regulation term lambda/alpha is 1.4259628345934443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3272283286354795 the lambda is 0.5324603606181182 the regulation term lambda/alpha is 1.6271829607126091 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2645700598693465 the lambda is 0.4760588371955039 the regulation term lambda/alpha is 1.799367764555814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3107400427849418 the lambda is 0.4713980632434463 the regulation term lambda/alpha is 1.5170174368859612 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2991024336921826 the lambda is 0.5528649280383907 the regulation term lambda/alpha is 1.8484133385800683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.353164008073619 the lambda is 0.6169745815119169 the regulation term lambda/alpha is 1.7469916735776345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33279457372900445 the lambda is 0.5168555731548511 the regulation term lambda/alpha is 1.5530769247930347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891436868714985 the lambda is 0.48813735111339474 the regulation term lambda/alpha is 1.6882172195941223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3194900534357349 the lambda is 0.5020197989755779 the regulation term lambda/alpha is 1.5713158941161174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105197354065407 the lambda is 0.46729190074006305 the regulation term lambda/alpha is 1.5048702142176955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2954456962883693 the lambda is 0.49923182882965056 the regulation term lambda/alpha is 1.689758338339023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.360245266386174 the lambda is 0.5393155492693842 the regulation term lambda/alpha is 1.4970787948987268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33054624963453044 the lambda is 0.531979354308358 the regulation term lambda/alpha is 1.60939461541779 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36319573880950284 the lambda is 0.503049131892507 the regulation term lambda/alpha is 1.385063419360098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33290527594963837 the lambda is 0.5114516620742201 the regulation term lambda/alpha is 1.5363278957212805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28682195153695134 the lambda is 0.48567425491878846 the regulation term lambda/alpha is 1.6932952736576683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3998011114445819 the lambda is 0.5196379831738153 the regulation term lambda/alpha is 1.2997412170672378 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33863992200685517 the lambda is 0.49166837363951077 the regulation term lambda/alpha is 1.4518913503339332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3290985629949188 the lambda is 0.5002279912894465 the regulation term lambda/alpha is 1.5199944561811105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32695038388811176 the lambda is 0.5080265304939715 the regulation term lambda/alpha is 1.5538337176806227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34777012210949115 the lambda is 0.5385577672419176 the regulation term lambda/alpha is 1.548602749353952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.300074763316744 the lambda is 0.5471623920307302 the regulation term lambda/alpha is 1.8234202236233137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30452050294881616 the lambda is 0.44502658043673665 the regulation term lambda/alpha is 1.4614010423841208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129146271458864 the lambda is 0.522991001237061 the regulation term lambda/alpha is 1.6713536404715053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31552682522895714 the lambda is 0.47560158581207257 the regulation term lambda/alpha is 1.5073253612175752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3303515213401479 the lambda is 0.5838267851147055 the regulation term lambda/alpha is 1.7672895306983185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30572506943528716 the lambda is 0.5453753921325333 the regulation term lambda/alpha is 1.783875274408836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3049332201865329 the lambda is 0.5094842525873405 the regulation term lambda/alpha is 1.6708059957379529 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28030481889594727 the lambda is 0.4522001178557512 the regulation term lambda/alpha is 1.6132441805205413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3116328996738213 the lambda is 0.5098202156856778 the regulation term lambda/alpha is 1.6359640340262356 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29148802752336234 the lambda is 0.4735483968373096 the regulation term lambda/alpha is 1.62458952726405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.360590998147482 the lambda is 0.5284920441818575 the regulation term lambda/alpha is 1.465627391967516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124838445636046 the lambda is 0.560295187238802 the regulation term lambda/alpha is 1.7930372945240585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3523829843929802 the lambda is 0.5265078470463492 the regulation term lambda/alpha is 1.494135274304799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2741835037149143 the lambda is 0.5242825585157771 the regulation term lambda/alpha is 1.9121593801679126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31997145158455964 the lambda is 0.4867788075334266 the regulation term lambda/alpha is 1.5213194962325707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30680714313775614 the lambda is 0.5433485112260975 the regulation term lambda/alpha is 1.7709773823034312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2676751829205181 the lambda is 0.47118978306624415 the regulation term lambda/alpha is 1.7603043282729594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31599157072508605 the lambda is 0.5138603839274604 the regulation term lambda/alpha is 1.6261838337913166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2828552327439679 the lambda is 0.5358676564697535 the regulation term lambda/alpha is 1.8944944071612948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3568089820394492 the lambda is 0.5382571687868098 the regulation term lambda/alpha is 1.5085303226119444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24810302389703484 the lambda is 0.5332022911648135 the regulation term lambda/alpha is 2.149116454888908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32821363614204196 the lambda is 0.5356495906592958 the regulation term lambda/alpha is 1.632015040433851 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33241149706407186 the lambda is 0.5326036328352911 the regulation term lambda/alpha is 1.6022419126274459 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3405128395228806 the lambda is 0.5202340311373712 the regulation term lambda/alpha is 1.527795638679329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3467091557670575 the lambda is 0.49912325123968143 the regulation term lambda/alpha is 1.4396021649195383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33659346098847 the lambda is 0.5650275112805582 the regulation term lambda/alpha is 1.6786645516560204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3341569693451886 the lambda is 0.5477312892011118 the regulation term lambda/alpha is 1.6391436942776976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27218696904845724 the lambda is 0.5064821744292929 the regulation term lambda/alpha is 1.860787737928498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.251750684759198 the lambda is 0.5112550628096513 the regulation term lambda/alpha is 2.030799095139192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28682226252799736 the lambda is 0.47538298410283314 the regulation term lambda/alpha is 1.657413130741307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3468145850089932 the lambda is 0.5083663323139198 the regulation term lambda/alpha is 1.4658158978542883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29187555416464134 the lambda is 0.5428377358254007 the regulation term lambda/alpha is 1.8598259706230706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879960654550166 the lambda is 0.4457118079373576 the regulation term lambda/alpha is 1.5476315873731106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32913396769566183 the lambda is 0.5470341937570852 the regulation term lambda/alpha is 1.6620411365833494 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29329085865248317 the lambda is 0.47255133732977717 the regulation term lambda/alpha is 1.6112037705535773 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2979017354283758 the lambda is 0.45828710353258184 the regulation term lambda/alpha is 1.538383463505426 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3499747004871708 the lambda is 0.4969756210011834 the regulation term lambda/alpha is 1.420032991840224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28000721718609756 the lambda is 0.5107933831738664 the regulation term lambda/alpha is 1.8242150624081392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27564276985817415 the lambda is 0.533431491006907 the regulation term lambda/alpha is 1.9352275819945224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945914244513012 the lambda is 0.5387860945870886 the regulation term lambda/alpha is 1.828926607726679 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3260114937077501 the lambda is 0.5557431836999971 the regulation term lambda/alpha is 1.704673591042737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35689478212930914 the lambda is 0.5479914528695634 the regulation term lambda/alpha is 1.5354426018787146 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3247363387840016 the lambda is 0.4818916323591271 the regulation term lambda/alpha is 1.4839473591517496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34762453088132766 the lambda is 0.5677935543275321 the regulation term lambda/alpha is 1.6333529537976303 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3264184635250029 the lambda is 0.547447096399183 the regulation term lambda/alpha is 1.6771327531147753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2747897528588647 the lambda is 0.44552071180604386 the regulation term lambda/alpha is 1.621314867715859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35345282900881647 the lambda is 0.5984165994405238 the regulation term lambda/alpha is 1.6930593004974845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3485963213323884 the lambda is 0.5598614052296859 the regulation term lambda/alpha is 1.606045075547011 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3413431002396262 the lambda is 0.5414079746433679 the regulation term lambda/alpha is 1.5861107907653447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3081386395890967 the lambda is 0.43776894190607424 the regulation term lambda/alpha is 1.4206882411431416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27340167779045305 the lambda is 0.5218788823749537 the regulation term lambda/alpha is 1.908835697690723 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3339731473841346 the lambda is 0.5299623922975603 the regulation term lambda/alpha is 1.5868413267609196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32435115770400486 the lambda is 0.5519434289226542 the regulation term lambda/alpha is 1.7016847814871827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27822300042437786 the lambda is 0.4417860702839819 the regulation term lambda/alpha is 1.587884788856848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31509970096737105 the lambda is 0.4999873804365772 the regulation term lambda/alpha is 1.58675929841124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27395811913253904 the lambda is 0.4855765920133141 the regulation term lambda/alpha is 1.7724482616205857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32308810668887894 the lambda is 0.5169224688763719 the regulation term lambda/alpha is 1.5999427344261479 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35586210267247137 the lambda is 0.5570930169766448 the regulation term lambda/alpha is 1.5654744149291517 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2860546555830081 the lambda is 0.43751403058632277 the regulation term lambda/alpha is 1.529477049393324 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3649043010590404 the lambda is 0.5732392960750722 the regulation term lambda/alpha is 1.570930499891049 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3439749529625294 the lambda is 0.5753810373356253 the regulation term lambda/alpha is 1.6727410887917293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3519702804978661 the lambda is 0.5258699727068676 the regulation term lambda/alpha is 1.4940749314488098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34235200702718926 the lambda is 0.5259335983340634 the regulation term lambda/alpha is 1.5362363518794684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3006034668493114 the lambda is 0.46580412400342963 the regulation term lambda/alpha is 1.5495633795764943 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29529707091555446 the lambda is 0.5575168324362537 the regulation term lambda/alpha is 1.8879863274894648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32792082307490705 the lambda is 0.5298385480727041 the regulation term lambda/alpha is 1.615751458246593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.334462164184661 the lambda is 0.5024792190789028 the regulation term lambda/alpha is 1.5023499602827342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2704781386408745 the lambda is 0.5218833459800096 the regulation term lambda/alpha is 1.9294843886549244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31367239970432187 the lambda is 0.5487908391360633 the regulation term lambda/alpha is 1.7495668718490118 580 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37769594910922677 the lambda is 0.5363158545878082 the regulation term lambda/alpha is 1.4199671875027438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3135692701681319 the lambda is 0.5082055887136339 the regulation term lambda/alpha is 1.620712349909608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29258183503330254 the lambda is 0.5341734644405043 the regulation term lambda/alpha is 1.8257232694562295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32519614437953026 the lambda is 0.479575692945759 the regulation term lambda/alpha is 1.4747274875007599 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2712101612551022 the lambda is 0.4748013163339274 the regulation term lambda/alpha is 1.7506767229393219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31449613941009874 the lambda is 0.5044365545717658 the regulation term lambda/alpha is 1.6039515000659113 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3278087313037726 the lambda is 0.530810921662565 the regulation term lambda/alpha is 1.6192702358823845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3097464940804422 the lambda is 0.5196816766435371 the regulation term lambda/alpha is 1.6777645157416183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2990153696704209 the lambda is 0.4890162035016208 the regulation term lambda/alpha is 1.6354216308031977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31555329895926687 the lambda is 0.4997479003082713 the regulation term lambda/alpha is 1.5837194602512497 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28535389203175565 the lambda is 0.5353002792765159 the regulation term lambda/alpha is 1.8759172179678731 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2585184982919855 the lambda is 0.4601295434387792 the regulation term lambda/alpha is 1.7798708660263172 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2820020816223927 the lambda is 0.5183078166315854 the regulation term lambda/alpha is 1.8379574138236736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30572752671830694 the lambda is 0.5137779027205752 the regulation term lambda/alpha is 1.680509139086985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3228082885982998 the lambda is 0.4991679588798621 the regulation term lambda/alpha is 1.546329436110059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3624860975173144 the lambda is 0.4976720506808146 the regulation term lambda/alpha is 1.37294107026282 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246252186286523 the lambda is 0.48844861345415885 the regulation term lambda/alpha is 1.5046539376009127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35367206975939197 the lambda is 0.5141714759065193 the regulation term lambda/alpha is 1.4538085415009372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2898571448335578 the lambda is 0.45773580836363675 the regulation term lambda/alpha is 1.5791772482492314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34340281992416866 the lambda is 0.5606450260737937 the regulation term lambda/alpha is 1.6326162557360397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351246257131285 the lambda is 0.5442207978304864 the regulation term lambda/alpha is 1.623935563292049 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29457152133031833 the lambda is 0.4858413141890038 the regulation term lambda/alpha is 1.6493152902048691 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3188280708651677 the lambda is 0.5272512934028398 the regulation term lambda/alpha is 1.653716662940304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100816148107676 the lambda is 0.5143959988475768 the regulation term lambda/alpha is 1.6589051858540385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3064976194412804 the lambda is 0.5110444112598899 the regulation term lambda/alpha is 1.6673682888352648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34955991097584654 the lambda is 0.5285441376480603 the regulation term lambda/alpha is 1.5120273265105075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3330969562056996 the lambda is 0.48395158718369746 the regulation term lambda/alpha is 1.4528850479343305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.326162101285994 the lambda is 0.5227676546332785 the regulation term lambda/alpha is 1.6027847888277236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30068107108755204 the lambda is 0.4628048173195581 the regulation term lambda/alpha is 1.5391884020021964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2785634702270974 the lambda is 0.5838516665098867 the regulation term lambda/alpha is 2.0959376548328637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3356141489595832 the lambda is 0.4840807369021612 the regulation term lambda/alpha is 1.4423728510935256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25501825916673987 the lambda is 0.4428108612293175 the regulation term lambda/alpha is 1.7363888479051701 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2890702240577379 the lambda is 0.4947686832707037 the regulation term lambda/alpha is 1.7115864661725944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.281028510606663 the lambda is 0.5018497296152462 the regulation term lambda/alpha is 1.7857609127696372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3212060474481709 the lambda is 0.503460895068594 the regulation term lambda/alpha is 1.5674078961724138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34449220348263443 the lambda is 0.525219631923294 the regulation term lambda/alpha is 1.524619792882395 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3222116208030285 the lambda is 0.5720482754923976 the regulation term lambda/alpha is 1.7753806460074788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30472884375927417 the lambda is 0.5161110454204856 the regulation term lambda/alpha is 1.6936730998401859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35603999633854866 the lambda is 0.5172098552865543 the regulation term lambda/alpha is 1.4526734653562732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.327477103261891 the lambda is 0.4928020681329347 the regulation term lambda/alpha is 1.504844348579783 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34718938081841794 the lambda is 0.46452081302818177 the regulation term lambda/alpha is 1.33794648883898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38115273317276455 the lambda is 0.5336552747242342 the regulation term lambda/alpha is 1.4001087445497737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27255632356866905 the lambda is 0.47116198403099485 the regulation term lambda/alpha is 1.7286774999820844 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25986565320848953 the lambda is 0.5030475011148231 the regulation term lambda/alpha is 1.9357983438897537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34695257713334077 the lambda is 0.6041616754545328 the regulation term lambda/alpha is 1.7413379097695576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33039191695586423 the lambda is 0.49186592455077804 the regulation term lambda/alpha is 1.488734739889186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3652886627133233 the lambda is 0.5149609485279794 the regulation term lambda/alpha is 1.4097370137438898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.296263872085914 the lambda is 0.5278735113118407 the regulation term lambda/alpha is 1.781768082605637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29442818879843574 the lambda is 0.45019035799199847 the regulation term lambda/alpha is 1.5290328002533644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3923217379080638 the lambda is 0.49913201566069554 the regulation term lambda/alpha is 1.272251745014602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35353937206169983 the lambda is 0.5054559929388096 the regulation term lambda/alpha is 1.4297021290477294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427701937542514 the lambda is 0.4920702207947052 the regulation term lambda/alpha is 1.435568873142728 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112070407992458 the lambda is 0.5366484098667706 the regulation term lambda/alpha is 1.7244096036148266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30248688482794145 the lambda is 0.4728538910651642 the regulation term lambda/alpha is 1.5632211338158668 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3225959604085224 the lambda is 0.4622443262962839 the regulation term lambda/alpha is 1.4328893818475485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31486619559922746 the lambda is 0.48267266788819513 the regulation term lambda/alpha is 1.5329453419717292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3065441045067623 the lambda is 0.4951304270793458 the regulation term lambda/alpha is 1.6152012705513419 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3150206153655402 the lambda is 0.5082636041599612 the regulation term lambda/alpha is 1.6134296594214566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3328619466112396 the lambda is 0.46108155582309307 the regulation term lambda/alpha is 1.3852035671761704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3093339625024142 the lambda is 0.48987192328244294 the regulation term lambda/alpha is 1.583634461989022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31569419277937794 the lambda is 0.5299695620236602 the regulation term lambda/alpha is 1.6787434616956292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3360364899249779 the lambda is 0.46982912770127905 the regulation term lambda/alpha is 1.3981491349530852 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3318825629055144 the lambda is 0.4718473447299367 the regulation term lambda/alpha is 1.4217298450363893 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419711283534074 the lambda is 0.5169213538981275 the regulation term lambda/alpha is 1.5115935558276696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3245801263695216 the lambda is 0.49909285746221477 the regulation term lambda/alpha is 1.537656858553371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24729507430024983 the lambda is 0.501775588788147 the regulation term lambda/alpha is 2.029056139544952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3284744005036927 the lambda is 0.4865460262177458 the regulation term lambda/alpha is 1.4812296649956929 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29612185794449347 the lambda is 0.5566671599565991 the regulation term lambda/alpha is 1.8798583928273997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2911806273599561 the lambda is 0.5240148538077511 the regulation term lambda/alpha is 1.7996212816725836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2961298708516922 the lambda is 0.4999122028173923 the regulation term lambda/alpha is 1.6881518955842127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3378144326433482 the lambda is 0.5217964702123226 the regulation term lambda/alpha is 1.544624562453836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33740651962761764 the lambda is 0.5020028640636648 the regulation term lambda/alpha is 1.4878279904540839 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3221972681672482 the lambda is 0.4885425179684644 the regulation term lambda/alpha is 1.5162838615840424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30395132340678654 the lambda is 0.4584620830276335 the regulation term lambda/alpha is 1.5083404733660624 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31311683711693794 the lambda is 0.5016123370745263 the regulation term lambda/alpha is 1.6019973301122483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34208701172892647 the lambda is 0.5920484941880362 the regulation term lambda/alpha is 1.7306956238875912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3038009851559753 the lambda is 0.5074858197156614 the regulation term lambda/alpha is 1.6704548191478434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41891063738158646 the lambda is 0.53757156685548 the regulation term lambda/alpha is 1.2832607217032903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3284100595929766 the lambda is 0.4948546240743381 the regulation term lambda/alpha is 1.5068193242547103 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3451785144124524 the lambda is 0.455325964836797 the regulation term lambda/alpha is 1.319102857870029 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34637340626863256 the lambda is 0.5408428827964442 the regulation term lambda/alpha is 1.5614445942105306 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29684938462192284 the lambda is 0.4809362843170127 the regulation term lambda/alpha is 1.6201356958497624 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3040707403630901 the lambda is 0.5768013413328867 the regulation term lambda/alpha is 1.8969314201166798 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3100384635064109 the lambda is 0.5208953334233751 the regulation term lambda/alpha is 1.6800990674907152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3466135698248532 the lambda is 0.5367931160799922 the regulation term lambda/alpha is 1.5486788828009197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26545401833664045 the lambda is 0.5134228484643943 the regulation term lambda/alpha is 1.93413100951174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30897465488372894 the lambda is 0.5108878886271435 the regulation term lambda/alpha is 1.6534944874989732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29651843612016393 the lambda is 0.5271953191697487 the regulation term lambda/alpha is 1.7779512332113578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33305905743393505 the lambda is 0.5210592894887699 the regulation term lambda/alpha is 1.5644651537276575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.320009600738833 the lambda is 0.5530857974181904 the regulation term lambda/alpha is 1.7283412627034778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28510441565701117 the lambda is 0.46469719392227915 the regulation term lambda/alpha is 1.6299193151793316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3327790911830308 the lambda is 0.49571206039587634 the regulation term lambda/alpha is 1.489613000124552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33696126130641296 the lambda is 0.5568134515908871 the regulation term lambda/alpha is 1.6524553874000174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2716245570051695 the lambda is 0.4423164954546315 the regulation term lambda/alpha is 1.6284112906853756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2892334049043861 the lambda is 0.5281044718164011 the regulation term lambda/alpha is 1.8258764819747575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34109424636839464 the lambda is 0.4824172543365551 the regulation term lambda/alpha is 1.4143224621136712 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3021812440126678 the lambda is 0.4972206470487951 the regulation term lambda/alpha is 1.6454384807150737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.369070251448376 the lambda is 0.4924905511656202 the regulation term lambda/alpha is 1.3344086911174624 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3097428716108184 the lambda is 0.5091563346903532 the regulation term lambda/alpha is 1.6438032360276271 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26720860552677544 the lambda is 0.4785981238486976 the regulation term lambda/alpha is 1.7911029583242222 590 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2787547366904673 the lambda is 0.5361823093477256 the regulation term lambda/alpha is 1.9234912945824094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3018986993056546 the lambda is 0.5056841586069666 the regulation term lambda/alpha is 1.6750127104555401 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.34421384178818537 the lambda is 0.535929778409172 the regulation term lambda/alpha is 1.5569675397858072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35248916202384617 the lambda is 0.5638352348914271 the regulation term lambda/alpha is 1.5995817620437451 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3367509300602368 the lambda is 0.4958511933645487 the regulation term lambda/alpha is 1.4724567895799205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3466235197920298 the lambda is 0.5175925196683712 the regulation term lambda/alpha is 1.4932411971897372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28168853667619215 the lambda is 0.5227749434033127 the regulation term lambda/alpha is 1.8558616178416065 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32278949776248306 the lambda is 0.5594371258462759 the regulation term lambda/alpha is 1.7331329851937263 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36095546376171916 the lambda is 0.47522854681334226 the regulation term lambda/alpha is 1.3165849932307971 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31800443110227544 the lambda is 0.5429468207323336 the regulation term lambda/alpha is 1.7073561486245863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28588959697732075 the lambda is 0.49022811196138527 the regulation term lambda/alpha is 1.7147462417118817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3401725322558538 the lambda is 0.4574305570113787 the regulation term lambda/alpha is 1.3447016253132738 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.301321278743986 the lambda is 0.5033528881869992 the regulation term lambda/alpha is 1.6704857031177904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3481352000388319 the lambda is 0.5442513848194838 the regulation term lambda/alpha is 1.5633333967917538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30328777840701787 the lambda is 0.5469529200906826 the regulation term lambda/alpha is 1.8034123332086978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32255962776171687 the lambda is 0.4984875006650927 the regulation term lambda/alpha is 1.545411941736671 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3403369427669972 the lambda is 0.4990634694018822 the regulation term lambda/alpha is 1.4663805384875686 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28882524467081205 the lambda is 0.48358442535227225 the regulation term lambda/alpha is 1.6743149509089366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129136235729849 the lambda is 0.5508622720571714 the regulation term lambda/alpha is 1.7604291745664011 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2808456564923851 the lambda is 0.507877046531228 the regulation term lambda/alpha is 1.8083849074767469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28574704553462155 the lambda is 0.5115518993267598 the regulation term lambda/alpha is 1.790226381412505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3456243733002168 the lambda is 0.5484726402509413 the regulation term lambda/alpha is 1.586903825716383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2562666871589754 the lambda is 0.5027322837103159 the regulation term lambda/alpha is 1.961754332112801 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3077525841947597 the lambda is 0.48192544154156225 the regulation term lambda/alpha is 1.5659509173660686 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3115669100617785 the lambda is 0.5491047126896184 the regulation term lambda/alpha is 1.7623974015107704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2803352810702052 the lambda is 0.48817378524278815 the regulation term lambda/alpha is 1.7413926045239139 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36232520055967243 the lambda is 0.5893360486072731 the regulation term lambda/alpha is 1.6265389426320445 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32785052223096284 the lambda is 0.5393443194973044 the regulation term lambda/alpha is 1.645092146955158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29619750962660896 the lambda is 0.4717481242525541 the regulation term lambda/alpha is 1.5926809271531246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3061719114615313 the lambda is 0.4769099705372295 the regulation term lambda/alpha is 1.5576542219717973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3678677363303936 the lambda is 0.5489118343809269 the regulation term lambda/alpha is 1.4921445404712848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090266709769721 the lambda is 0.528674129126686 the regulation term lambda/alpha is 1.7107718484469627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3194276399933729 the lambda is 0.5500357258985393 the regulation term lambda/alpha is 1.7219415511755676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37686319208543434 the lambda is 0.576678349384523 the regulation term lambda/alpha is 1.5302060840523553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3312416018594688 the lambda is 0.5937303987839979 the regulation term lambda/alpha is 1.792439100194581 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31217034171560637 the lambda is 0.5433159935513253 the regulation term lambda/alpha is 1.7404471884337347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28238656815235924 the lambda is 0.48028627191337586 the regulation term lambda/alpha is 1.7008113206512059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3160780007803682 the lambda is 0.5643418880689942 the regulation term lambda/alpha is 1.7854513337710465 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3528654771397654 the lambda is 0.5147119716411028 the regulation term lambda/alpha is 1.4586634425481984 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.338272611850057 the lambda is 0.5465845034477624 the regulation term lambda/alpha is 1.6158106932110776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.262655028703823 the lambda is 0.47246103694624264 the regulation term lambda/alpha is 1.798789230412956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2685059297377794 the lambda is 0.5054925323982659 the regulation term lambda/alpha is 1.8826121750529885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30174070493238936 the lambda is 0.5206173165448564 the regulation term lambda/alpha is 1.7253797980670538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3131294011657173 the lambda is 0.4528727338270716 the regulation term lambda/alpha is 1.4462798195925333 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3777834056906261 the lambda is 0.5822188657212877 the regulation term lambda/alpha is 1.5411446266596411 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30917219544393937 the lambda is 0.4968486505129347 the regulation term lambda/alpha is 1.6070288914548454 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33165129175070457 the lambda is 0.54290454210345 the regulation term lambda/alpha is 1.6369740013301082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29433458334602 the lambda is 0.4492421761906291 the regulation term lambda/alpha is 1.526297627290707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3580222026021403 the lambda is 0.5343178801272922 the regulation term lambda/alpha is 1.4924154877653333 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35764831565676103 the lambda is 0.5406572897699681 the regulation term lambda/alpha is 1.5117009254668006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3478914294326404 the lambda is 0.49047434375329035 the regulation term lambda/alpha is 1.4098488846166222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33001182320781486 the lambda is 0.5084584977607766 the regulation term lambda/alpha is 1.540728125490796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3451352562122505 the lambda is 0.4850852454333775 the regulation term lambda/alpha is 1.4054931702922313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3154652234469101 the lambda is 0.47690181599479464 the regulation term lambda/alpha is 1.511741328517794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2646728491835189 the lambda is 0.48930815042964493 the regulation term lambda/alpha is 1.8487281636144264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336211162525512 the lambda is 0.5567155905384241 the regulation term lambda/alpha is 1.6687060962801599 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3004843322030386 the lambda is 0.5694772966482882 the regulation term lambda/alpha is 1.895197970799655 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31400246119324576 the lambda is 0.4769799490231206 the regulation term lambda/alpha is 1.5190325171673542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3289935475293359 the lambda is 0.49701329076524015 the regulation term lambda/alpha is 1.5107083239099761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2969034623615312 the lambda is 0.5293875669508696 the regulation term lambda/alpha is 1.7830292807641595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2551436911935132 the lambda is 0.45438883404814395 the regulation term lambda/alpha is 1.7809134606566215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29577005377840454 the lambda is 0.5479002479693769 the regulation term lambda/alpha is 1.852453421061593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30895376224787024 the lambda is 0.5173707129312948 the regulation term lambda/alpha is 1.6745894569046027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3235789330990033 the lambda is 0.48619377769802347 the regulation term lambda/alpha is 1.502550778079443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32017951485922447 the lambda is 0.48047433923051086 the regulation term lambda/alpha is 1.500640474896604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31420050700466384 the lambda is 0.5534339467167807 the regulation term lambda/alpha is 1.7614037354451684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35080046111198754 the lambda is 0.4701991866584903 the regulation term lambda/alpha is 1.340360799891841 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3311767397053193 the lambda is 0.540062839263505 the regulation term lambda/alpha is 1.630739042071772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.274753299941491 the lambda is 0.4496469496520894 the regulation term lambda/alpha is 1.6365479495527158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3173032548549836 the lambda is 0.5406671574592443 the regulation term lambda/alpha is 1.7039445678120895 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30195655941427235 the lambda is 0.5799798642258684 the regulation term lambda/alpha is 1.9207394114931586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31097200476591996 the lambda is 0.5330176913967052 the regulation term lambda/alpha is 1.714037544305402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3084933213361431 the lambda is 0.49440947671804925 the regulation term lambda/alpha is 1.602658607248507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35274788875911955 the lambda is 0.5259451200614677 the regulation term lambda/alpha is 1.4909943810340394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2793761957304944 the lambda is 0.48394508277390963 the regulation term lambda/alpha is 1.7322344930230082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3681813533700548 the lambda is 0.5725898940603074 the regulation term lambda/alpha is 1.5551843916571295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3812567789389521 the lambda is 0.5129452201164375 the regulation term lambda/alpha is 1.3454061631218148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3297983008782439 the lambda is 0.4847740464625232 the regulation term lambda/alpha is 1.4699106853236754 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30657995303571517 the lambda is 0.5335449216553654 the regulation term lambda/alpha is 1.7403124906644167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3235441770851717 the lambda is 0.5385359927378116 the regulation term lambda/alpha is 1.6644898313099425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3511769664139659 the lambda is 0.4852216714394081 the regulation term lambda/alpha is 1.381701301182239 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34330572801788417 the lambda is 0.5686693170026088 the regulation term lambda/alpha is 1.656451584090623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3627833364144607 the lambda is 0.5537465838690669 the regulation term lambda/alpha is 1.5263837345506985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3774407503205847 the lambda is 0.5628076294819403 the regulation term lambda/alpha is 1.491115172391724 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33505492888170363 the lambda is 0.5040534172514083 the regulation term lambda/alpha is 1.504390396326246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29564338884494634 the lambda is 0.5315477982978252 the regulation term lambda/alpha is 1.7979356831706514 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34222592793188694 the lambda is 0.5182937225419503 the regulation term lambda/alpha is 1.514478244456995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31838253351814366 the lambda is 0.5259477487150528 the regulation term lambda/alpha is 1.6519365648086992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3501396260420482 the lambda is 0.5981175141891204 the regulation term lambda/alpha is 1.7082257182661542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31104751554753296 the lambda is 0.5544219875044673 the regulation term lambda/alpha is 1.7824350293508222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2901317600603984 the lambda is 0.5018646059954532 the regulation term lambda/alpha is 1.7297816891572888 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3225399258678573 the lambda is 0.5588994486734324 the regulation term lambda/alpha is 1.7328070227882741 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36714141947373596 the lambda is 0.6342821644739007 the regulation term lambda/alpha is 1.7276235554764887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.310066310877228 the lambda is 0.5055614840457873 the regulation term lambda/alpha is 1.6304947242268004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31383507489571044 the lambda is 0.46769196687644915 the regulation term lambda/alpha is 1.490247599099197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3615054482925014 the lambda is 0.5672148995743022 the regulation term lambda/alpha is 1.5690355491277603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29669969964823484 the lambda is 0.5370366552727175 the regulation term lambda/alpha is 1.81003437451883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36947735922135694 the lambda is 0.5557179384555859 the regulation term lambda/alpha is 1.5040649300588151 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314095902174759 the lambda is 0.5720822607167257 the regulation term lambda/alpha is 1.7262091309467444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3452100543947896 the lambda is 0.5481740830567929 the regulation term lambda/alpha is 1.5879435609656067 600 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3026586939816799 the lambda is 0.5086262226095489 the regulation term lambda/alpha is 1.6805273819107156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3140271809407752 the lambda is 0.5056331855757831 the regulation term lambda/alpha is 1.6101573884814269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29563101055464275 the lambda is 0.46085770970998347 the regulation term lambda/alpha is 1.558895018642847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3261337836524318 the lambda is 0.5441298912817183 the regulation term lambda/alpha is 1.6684254087016326 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32631779828739 the lambda is 0.5013425724627328 the regulation term lambda/alpha is 1.5363629415677704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.42310068339790724 the lambda is 0.585785078330446 the regulation term lambda/alpha is 1.3845051575573595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37148155354037876 the lambda is 0.5732657918059318 the regulation term lambda/alpha is 1.5431877743119748 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3585529509480877 the lambda is 0.5183019046062913 the regulation term lambda/alpha is 1.4455379693174872 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3396161657225706 the lambda is 0.5455838482225388 the regulation term lambda/alpha is 1.606471962433677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2977046911914249 the lambda is 0.5431664889975313 the regulation term lambda/alpha is 1.8245143763901046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31378200724638294 the lambda is 0.503371385892315 the regulation term lambda/alpha is 1.6042072976385344 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2797607669057873 the lambda is 0.5323135869427852 the regulation term lambda/alpha is 1.9027456667004636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36637794945302626 the lambda is 0.5603271342146521 the regulation term lambda/alpha is 1.529369152950326 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32840696043687667 the lambda is 0.5236745114555 the regulation term lambda/alpha is 1.5945901717760818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32567853196428337 the lambda is 0.49702042800500035 the regulation term lambda/alpha is 1.5261074317895407 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29855209570680946 the lambda is 0.479432149106316 the regulation term lambda/alpha is 1.6058575906870813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30101986754897736 the lambda is 0.46738145734015657 the regulation term lambda/alpha is 1.5526598332055654 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133038908597788 the lambda is 0.4718000416447254 the regulation term lambda/alpha is 1.505886314881045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2748086820653683 the lambda is 0.4946195348421439 the regulation term lambda/alpha is 1.7998686618077429 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30644687195991144 the lambda is 0.5029858708636309 the regulation term lambda/alpha is 1.6413477078318168 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3436618534286719 the lambda is 0.5299790279779681 the regulation term lambda/alpha is 1.5421526209279057 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3760623123487937 the lambda is 0.5096868576663294 the regulation term lambda/alpha is 1.3553255429477877 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28660901601636796 the lambda is 0.5225645477417088 the regulation term lambda/alpha is 1.8232662566060576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3238781172472503 the lambda is 0.5051393711768426 the regulation term lambda/alpha is 1.5596588478103832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29851908479870254 the lambda is 0.43635449862783937 the regulation term lambda/alpha is 1.4617306592711887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2809772420021957 the lambda is 0.5378399808951141 the regulation term lambda/alpha is 1.9141763121545308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3258991587450615 the lambda is 0.5094133707203407 the regulation term lambda/alpha is 1.5631012141361045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34496565964535947 the lambda is 0.5471086691492861 the regulation term lambda/alpha is 1.5859800935308719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427300993321049 the lambda is 0.5012642444884932 the regulation term lambda/alpha is 1.4625626563448368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3091495623779089 the lambda is 0.5274308666177224 the regulation term lambda/alpha is 1.7060702352636141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29809461697740636 the lambda is 0.5105693190730598 the regulation term lambda/alpha is 1.7127760449017355 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.28735965559917603 the lambda is 0.5186751641043121 the regulation term lambda/alpha is 1.8049686307662716 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3460869095653106 the lambda is 0.5529058746470462 the regulation term lambda/alpha is 1.597592568125454 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3938184998087415 the lambda is 0.5628431784248341 the regulation term lambda/alpha is 1.4291943590719574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3393109082706425 the lambda is 0.5346992084203401 the regulation term lambda/alpha is 1.5758385462628608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2878298819241588 the lambda is 0.5363490861158462 the regulation term lambda/alpha is 1.8634239173859317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34348184227222966 the lambda is 0.5257426730105325 the regulation term lambda/alpha is 1.5306272655712914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073431430026932 the lambda is 0.5002140618688115 the regulation term lambda/alpha is 1.6275426124097003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31923941051472154 the lambda is 0.5562465690461953 the regulation term lambda/alpha is 1.7424119664590858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31211222982648373 the lambda is 0.4997375720980759 the regulation term lambda/alpha is 1.6011470373202004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2934972334752819 the lambda is 0.5009411506599452 the regulation term lambda/alpha is 1.706800247240266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35338365680801775 the lambda is 0.5523593309640571 the regulation term lambda/alpha is 1.5630585068741212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34564327819751295 the lambda is 0.49720123732469557 the regulation term lambda/alpha is 1.4384808520435828 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32779670106799225 the lambda is 0.5420332645599739 the regulation term lambda/alpha is 1.6535653433789266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2978318311244243 the lambda is 0.5211740275456708 the regulation term lambda/alpha is 1.7498936415830633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2904717936195434 the lambda is 0.48463625625751594 the regulation term lambda/alpha is 1.6684451533779108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31160000508881863 the lambda is 0.473156204592233 the regulation term lambda/alpha is 1.5184730323010243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35730662483504483 the lambda is 0.5337823056760704 the regulation term lambda/alpha is 1.493905426249787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34330105742452005 the lambda is 0.5813293252466335 the regulation term lambda/alpha is 1.6933513971900527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2892550839014047 the lambda is 0.4353329456728824 the regulation term lambda/alpha is 1.5050139821268265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3162084027664319 the lambda is 0.5098063251612225 the regulation term lambda/alpha is 1.6122478741900863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30226077097931425 the lambda is 0.49976830255119264 the regulation term lambda/alpha is 1.6534342214901423 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30665426492300313 the lambda is 0.551835355436338 the regulation term lambda/alpha is 1.7995358896276776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3096739693271906 the lambda is 0.4898286881003828 the regulation term lambda/alpha is 1.5817560938835227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336261762681636 the lambda is 0.49822275917011205 the regulation term lambda/alpha is 1.4933563209669982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3529251558734454 the lambda is 0.5757020046913349 the regulation term lambda/alpha is 1.6312297242358504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29927768927849235 the lambda is 0.45073079264657906 the regulation term lambda/alpha is 1.5060621248888095 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34911583079875935 the lambda is 0.5649921434992764 the regulation term lambda/alpha is 1.6183515431156559 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3051384627167297 the lambda is 0.5308400337656503 the regulation term lambda/alpha is 1.739669358754183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30861815777970614 the lambda is 0.47592261207379644 the regulation term lambda/alpha is 1.5421082657538039 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31425691772408854 the lambda is 0.48479494502772014 the regulation term lambda/alpha is 1.5426707184004163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3018356701518374 the lambda is 0.4667249030579619 the regulation term lambda/alpha is 1.54628809385974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29184842003804046 the lambda is 0.5528275595897828 the regulation term lambda/alpha is 1.894228378956876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3223577721679219 the lambda is 0.528923991298537 the regulation term lambda/alpha is 1.6407980106743356 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087389515247989 the lambda is 0.5524789197721459 the regulation term lambda/alpha is 1.789469443500941 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29553007188342284 the lambda is 0.47558098104764307 the regulation term lambda/alpha is 1.6092473365459896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2902378549040977 the lambda is 0.5708019091443762 the regulation term lambda/alpha is 1.9666694040754413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35243451504161216 the lambda is 0.4979015017659034 the regulation term lambda/alpha is 1.4127489803520403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32795856919587735 the lambda is 0.49330405298746904 the regulation term lambda/alpha is 1.5041657676364513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35757672030705573 the lambda is 0.5542021358267076 the regulation term lambda/alpha is 1.5498831561260675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32283466980129144 the lambda is 0.5060220015455189 the regulation term lambda/alpha is 1.5674338876211202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28840948162846647 the lambda is 0.48209068592338883 the regulation term lambda/alpha is 1.6715493651641642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3483215250550047 the lambda is 0.47786004755682454 the regulation term lambda/alpha is 1.3718935327966424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193104391814964 the lambda is 0.4800816446796403 the regulation term lambda/alpha is 1.5034949872301588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.298372796275096 the lambda is 0.4688541018927829 the regulation term lambda/alpha is 1.571370137445457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3214330166403174 the lambda is 0.4595653361121303 the regulation term lambda/alpha is 1.4297390508156245 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3334114343587056 the lambda is 0.5788479501412714 the regulation term lambda/alpha is 1.736137068168182 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36080128955232527 the lambda is 0.5304370103536579 the regulation term lambda/alpha is 1.4701638428504873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3311703350320014 the lambda is 0.516950344624928 the regulation term lambda/alpha is 1.5609802266104977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2956059808408667 the lambda is 0.4894342563138115 the regulation term lambda/alpha is 1.6556980847328937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2844255609407003 the lambda is 0.48077009430825124 the regulation term lambda/alpha is 1.6903195785855782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3603758206778526 the lambda is 0.5128844622156579 the regulation term lambda/alpha is 1.4231933242661579 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3673834747005766 the lambda is 0.5581240775850596 the regulation term lambda/alpha is 1.5191866701134003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517840313888092 the lambda is 0.4948458934421275 the regulation term lambda/alpha is 1.4066752589323737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3214947245994036 the lambda is 0.559455556265392 the regulation term lambda/alpha is 1.7401702530655767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40078953697195074 the lambda is 0.5750318611243203 the regulation term lambda/alpha is 1.4347476869501308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35068711207195286 the lambda is 0.5246126333695397 the regulation term lambda/alpha is 1.495956410459422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33646975040547095 the lambda is 0.49203257475323253 the regulation term lambda/alpha is 1.4623382166161947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35057194133324615 the lambda is 0.6049577133698774 the regulation term lambda/alpha is 1.7256307252348457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171713356639829 the lambda is 0.4839595602094927 the regulation term lambda/alpha is 1.525861595267891 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27766191008595337 the lambda is 0.47217166733137156 the regulation term lambda/alpha is 1.7005273326298358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.334752915728567 the lambda is 0.5679903904658522 the regulation term lambda/alpha is 1.6967451627110093 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2821195945807082 the lambda is 0.4908005065930236 the regulation term lambda/alpha is 1.7396895360014295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2921013501174004 the lambda is 0.49851168667910983 the regulation term lambda/alpha is 1.7066394471602053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30851280892193766 the lambda is 0.5750100577456677 the regulation term lambda/alpha is 1.8638125909746628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.313536422255971 the lambda is 0.46881992112276344 the regulation term lambda/alpha is 1.4952646258750093 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3350319344595455 the lambda is 0.47794363874259804 the regulation term lambda/alpha is 1.4265614396239261 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3468921199598986 the lambda is 0.5263933137174122 the regulation term lambda/alpha is 1.5174553800134296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32373943193901833 the lambda is 0.47616591174664424 the regulation term lambda/alpha is 1.4708307508130118 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3572548617111928 the lambda is 0.5145464555741478 the regulation term lambda/alpha is 1.4402783858827106 610 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26214992922834435 the lambda is 0.4696839751945488 the regulation term lambda/alpha is 1.7916616517009738 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33115374355078675 the lambda is 0.49826177579775116 the regulation term lambda/alpha is 1.5046237148194468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30383689620751875 the lambda is 0.519163295424283 the regulation term lambda/alpha is 1.7086907544951275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3361658474571164 the lambda is 0.49282369867780745 the regulation term lambda/alpha is 1.4660135834907362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30313115324007245 the lambda is 0.5314259313634078 the regulation term lambda/alpha is 1.7531221244770294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31602647282559443 the lambda is 0.501334301593964 the regulation term lambda/alpha is 1.5863680568008471 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3137217778444604 the lambda is 0.547757249941792 the regulation term lambda/alpha is 1.7459968947816036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30696624760393443 the lambda is 0.5735303496339075 the regulation term lambda/alpha is 1.868382449571164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29710615863998785 the lambda is 0.49397421183189866 the regulation term lambda/alpha is 1.6626185538969642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33454163764595685 the lambda is 0.5379970307288275 the regulation term lambda/alpha is 1.6081616462288804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3596009817738201 the lambda is 0.5441050150821855 the regulation term lambda/alpha is 1.5130798931589506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3278975339341082 the lambda is 0.5140830399031361 the regulation term lambda/alpha is 1.567816121503501 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3226506151098704 the lambda is 0.5748579416868624 the regulation term lambda/alpha is 1.7816731621326967 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3304604438356504 the lambda is 0.5367963911167651 the regulation term lambda/alpha is 1.624389245763202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3083477071759411 the lambda is 0.45393507973130004 the regulation term lambda/alpha is 1.4721532515637865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26879045532585677 the lambda is 0.4594468269392042 the regulation term lambda/alpha is 1.7093122833629386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29423189970710656 the lambda is 0.5043922885023663 the regulation term lambda/alpha is 1.7142678581230115 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31700675100930836 the lambda is 0.5392578843374368 the regulation term lambda/alpha is 1.7010927452507232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3424575675193447 the lambda is 0.5016199598142694 the regulation term lambda/alpha is 1.4647652947132903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3238871882038483 the lambda is 0.48596450885974984 the regulation term lambda/alpha is 1.50041288003616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3278778515875915 the lambda is 0.43633760887991396 the regulation term lambda/alpha is 1.3307931803479804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29419044503112896 the lambda is 0.5333537786102126 the regulation term lambda/alpha is 1.8129541173703898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3009264419693602 the lambda is 0.4961401562532411 the regulation term lambda/alpha is 1.6487090765648211 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32488742750056615 the lambda is 0.530358191749182 the regulation term lambda/alpha is 1.6324367976604996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30993543350701497 the lambda is 0.5579888532631537 the regulation term lambda/alpha is 1.800339015611535 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30517914057369006 the lambda is 0.5026822745823486 the regulation term lambda/alpha is 1.6471711455684124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2776044746473644 the lambda is 0.5179611480627019 the regulation term lambda/alpha is 1.8658242044572875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30920240623813783 the lambda is 0.4967143632238717 the regulation term lambda/alpha is 1.6064375735851102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3470060045380522 the lambda is 0.5046246989877494 the regulation term lambda/alpha is 1.4542246888768549 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34848652156134086 the lambda is 0.5209433443756587 the regulation term lambda/alpha is 1.4948737243599874 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.366590318015042 the lambda is 0.5284470186240543 the regulation term lambda/alpha is 1.4415193000333713 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30511290584094186 the lambda is 0.47680591126257554 the regulation term lambda/alpha is 1.5627195773591394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3311023282250531 the lambda is 0.4944539892575572 the regulation term lambda/alpha is 1.4933570292549334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161448394373879 the lambda is 0.5075191301589587 the regulation term lambda/alpha is 1.6053373860605817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29740576466547797 the lambda is 0.46867867946448244 the regulation term lambda/alpha is 1.5758896939729876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3712712857665108 the lambda is 0.4559376607613192 the regulation term lambda/alpha is 1.228044500721379 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.363504185319951 the lambda is 0.5100141586813133 the regulation term lambda/alpha is 1.403048931148912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27667899630389076 the lambda is 0.520313892555272 the regulation term lambda/alpha is 1.8805688162313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28781793641799236 the lambda is 0.5036078717485597 the regulation term lambda/alpha is 1.7497445712249837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2727428123149658 the lambda is 0.46143131994107417 the regulation term lambda/alpha is 1.6918184425267613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3125425733296733 the lambda is 0.5216298593978747 the regulation term lambda/alpha is 1.6689881760449123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3525439747633938 the lambda is 0.5436501193899813 the regulation term lambda/alpha is 1.5420774663780497 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3396138203020484 the lambda is 0.4974220816959079 the regulation term lambda/alpha is 1.464669727673352 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26976794910085616 the lambda is 0.5264357591672642 the regulation term lambda/alpha is 1.9514392310943116 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217997446527669 the lambda is 0.5218591992256438 the regulation term lambda/alpha is 1.6216892893707795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2786278370501761 the lambda is 0.501984475959412 the regulation term lambda/alpha is 1.8016307389595578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282865190086387 the lambda is 0.5692094083107614 the regulation term lambda/alpha is 1.73387993521532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3409424508616202 the lambda is 0.4768482452068271 the regulation term lambda/alpha is 1.3986179896394526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3234036589136852 the lambda is 0.5516327585513967 the regulation term lambda/alpha is 1.7057097016290241 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217239213336234 the lambda is 0.554818222148727 the regulation term lambda/alpha is 1.7245165353228056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314547963542208 the lambda is 0.5354375923475269 the regulation term lambda/alpha is 1.6154166367087737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3297034857244417 the lambda is 0.6255315673791735 the regulation term lambda/alpha is 1.8972549410714385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3014780786529276 the lambda is 0.4917656924047372 the regulation term lambda/alpha is 1.6311822557781244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31271347603030203 the lambda is 0.4924873670546388 the regulation term lambda/alpha is 1.5748837348055849 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24877347862190055 the lambda is 0.43784935488543264 the regulation term lambda/alpha is 1.7600322884534645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3395919793267665 the lambda is 0.5701459976841755 the regulation term lambda/alpha is 1.6789147930244914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3808314910272171 the lambda is 0.5061352985657014 the regulation term lambda/alpha is 1.3290269068886669 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.344654962625346 the lambda is 0.5850662788099906 the regulation term lambda/alpha is 1.6975420123167688 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2932536419808837 the lambda is 0.505275205875105 the regulation term lambda/alpha is 1.72299720631617 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30235133493527994 the lambda is 0.5096782256452366 the regulation term lambda/alpha is 1.6857151490809068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31067346692801445 the lambda is 0.574080167831348 the regulation term lambda/alpha is 1.8478570877260239 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3315992645110915 the lambda is 0.4982816135107374 the regulation term lambda/alpha is 1.5026619984981018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3893548999379483 the lambda is 0.5660680184248925 the regulation term lambda/alpha is 1.4538612934243464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2801030180566983 the lambda is 0.4946572157056129 the regulation term lambda/alpha is 1.7659831698260553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31333581150227335 the lambda is 0.48312896065197103 the regulation term lambda/alpha is 1.5418887433761008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28602242770039327 the lambda is 0.5179575847128634 the regulation term lambda/alpha is 1.810898497985692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28604430210367165 the lambda is 0.459156406244175 the regulation term lambda/alpha is 1.6051933314782894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33433728938873253 the lambda is 0.5649915855067098 the regulation term lambda/alpha is 1.6898850455469132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3085590104666785 the lambda is 0.5267233789219483 the regulation term lambda/alpha is 1.7070426111534005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3721304379344044 the lambda is 0.44920002235353207 the regulation term lambda/alpha is 1.2071036834474496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30104275484567283 the lambda is 0.570892976284855 the regulation term lambda/alpha is 1.8963850386551198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29159162542834755 the lambda is 0.5019876127963707 the regulation term lambda/alpha is 1.7215433127030033 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30919156763618105 the lambda is 0.42929239205934205 the regulation term lambda/alpha is 1.3884349930412108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.300287027392506 the lambda is 0.5575984124134947 the regulation term lambda/alpha is 1.8568847853845392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3049623693997969 the lambda is 0.45614125187055365 the regulation term lambda/alpha is 1.4957296297516813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33999141318769177 the lambda is 0.47722731049756534 the regulation term lambda/alpha is 1.4036451862803743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3098204847369559 the lambda is 0.47987569923320816 the regulation term lambda/alpha is 1.5488830560723985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33154043514938153 the lambda is 0.4808556588494129 the regulation term lambda/alpha is 1.4503680633487577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32773653515864426 the lambda is 0.4485616437081462 the regulation term lambda/alpha is 1.3686653625327896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2828377943240923 the lambda is 0.5102751274524161 the regulation term lambda/alpha is 1.8041263851312341 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29329930545477795 the lambda is 0.49220130314983745 the regulation term lambda/alpha is 1.6781536607686478 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2942479564105923 the lambda is 0.4932919491920886 the regulation term lambda/alpha is 1.6764498731258854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2976360059250849 the lambda is 0.5170345028225884 the regulation term lambda/alpha is 1.7371369475799452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2885635416940649 the lambda is 0.47416690354237073 the regulation term lambda/alpha is 1.6431975458808394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3642860198294711 the lambda is 0.5011299637135581 the regulation term lambda/alpha is 1.3756497269594539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35784203875162673 the lambda is 0.5888642734987575 the regulation term lambda/alpha is 1.6455983638844627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32280964759990766 the lambda is 0.5319510802579005 the regulation term lambda/alpha is 1.6478785073896058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34112253435351847 the lambda is 0.4884089489979484 the regulation term lambda/alpha is 1.43176981820788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3565818664315367 the lambda is 0.5334422447153147 the regulation term lambda/alpha is 1.495988144472105 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.29696822389056216 the lambda is 0.4329911606109981 the regulation term lambda/alpha is 1.4580386916095196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29139778788614085 the lambda is 0.44959066467724396 the regulation term lambda/alpha is 1.5428760387601657 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3148568550801581 the lambda is 0.5329373405378313 the regulation term lambda/alpha is 1.6926337538439586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3522728527244862 the lambda is 0.5319020408340287 the regulation term lambda/alpha is 1.5099149330420618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090661764514831 the lambda is 0.5667684678546853 the regulation term lambda/alpha is 1.833809426712392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27687641866046364 the lambda is 0.5016942827369488 the regulation term lambda/alpha is 1.8119790958152402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3236991230758332 the lambda is 0.5264095430624662 the regulation term lambda/alpha is 1.6262309828350814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3508441902954481 the lambda is 0.508299213477743 the regulation term lambda/alpha is 1.4487890281144487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27016517658833183 the lambda is 0.4258978421363863 the regulation term lambda/alpha is 1.5764350073338815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3480658156977927 the lambda is 0.576315371736394 the regulation term lambda/alpha is 1.6557655068223605 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3331575688499392 the lambda is 0.5859032805837504 the regulation term lambda/alpha is 1.7586371596067594 620 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3926518584742054 the lambda is 0.5923385857663299 the regulation term lambda/alpha is 1.5085592312438847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37400899606187205 the lambda is 0.5201816165919482 the regulation term lambda/alpha is 1.3908264829701982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30305959792240345 the lambda is 0.5043560837313519 the regulation term lambda/alpha is 1.664214191495394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3237204370652284 the lambda is 0.5416377500135806 the regulation term lambda/alpha is 1.6731651387967288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3165454952086265 the lambda is 0.49868863658129176 the regulation term lambda/alpha is 1.575409045870704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35064852561105636 the lambda is 0.5324130893915993 the regulation term lambda/alpha is 1.5183668274771485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3199058581820803 the lambda is 0.552137813316055 the regulation term lambda/alpha is 1.7259384259284045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3344968110993676 the lambda is 0.5107246840927618 the regulation term lambda/alpha is 1.5268447026869951 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3413133856950085 the lambda is 0.4769587853272099 the regulation term lambda/alpha is 1.3974218572060684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308483500630943 the lambda is 0.47511240434317786 the regulation term lambda/alpha is 1.5401549949071114 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3570838749523996 the lambda is 0.527988314997961 the regulation term lambda/alpha is 1.4786114748764374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32079332226112833 the lambda is 0.49352095948913377 the regulation term lambda/alpha is 1.538439004934784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.341280150297526 the lambda is 0.5321811553252475 the regulation term lambda/alpha is 1.5593674430267774 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31946262778364276 the lambda is 0.5837372297365492 the regulation term lambda/alpha is 1.827247317742241 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30463730092496477 the lambda is 0.4848682582373616 the regulation term lambda/alpha is 1.5916247181982142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3227448173174192 the lambda is 0.4693249485566991 the regulation term lambda/alpha is 1.4541672658220208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3183844674251024 the lambda is 0.511000863564213 the regulation term lambda/alpha is 1.6049805057918607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3109127687360312 the lambda is 0.5099149571421449 the regulation term lambda/alpha is 1.6400579468483296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27979082287354506 the lambda is 0.4602853055888421 the regulation term lambda/alpha is 1.6451050855119498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3241217717526796 the lambda is 0.46832159962974945 the regulation term lambda/alpha is 1.4448939887540206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3137404319883847 the lambda is 0.5025331908404009 the regulation term lambda/alpha is 1.6017482593987304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33190492509981573 the lambda is 0.552476558006961 the regulation term lambda/alpha is 1.664562699215179 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3205727517571744 the lambda is 0.4746534438873614 the regulation term lambda/alpha is 1.4806418863912025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3443894881008449 the lambda is 0.473275019859348 the regulation term lambda/alpha is 1.3742435126845758 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3174658055039086 the lambda is 0.5112567657517578 the regulation term lambda/alpha is 1.6104309720546053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32530353539760565 the lambda is 0.5189151518223414 the regulation term lambda/alpha is 1.5951721864568484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31202669548052603 the lambda is 0.5264134047929308 the regulation term lambda/alpha is 1.6870781007447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28474595588555895 the lambda is 0.5854228997148707 the regulation term lambda/alpha is 2.055948074465913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2864256523945891 the lambda is 0.5005832370731846 the regulation term lambda/alpha is 1.7476899603376488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3401360292855212 the lambda is 0.52354697582916 the regulation term lambda/alpha is 1.5392282226875698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28224160746487537 the lambda is 0.4579512858564623 the regulation term lambda/alpha is 1.6225505869592731 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300843307474604 the lambda is 0.5164244292811729 the regulation term lambda/alpha is 1.5645227027643334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33190397035552666 the lambda is 0.5783995202492682 the regulation term lambda/alpha is 1.7426712902219943 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28648456369650943 the lambda is 0.44718579950441656 the regulation term lambda/alpha is 1.5609420407661048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31278842475641105 the lambda is 0.5284784917141275 the regulation term lambda/alpha is 1.6895717676435391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3181864998087299 the lambda is 0.5197444754404831 the regulation term lambda/alpha is 1.6334586029040041 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28490172220459875 the lambda is 0.48452457779569214 the regulation term lambda/alpha is 1.700672688274368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.372600200852542 the lambda is 0.5847618973361636 the regulation term lambda/alpha is 1.5694084329481761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35511155395365535 the lambda is 0.5060414477247359 the regulation term lambda/alpha is 1.425021073211203 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28131733104466894 the lambda is 0.4680324329311676 the regulation term lambda/alpha is 1.6637170244475663 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27193529207182704 the lambda is 0.5385945834866441 the regulation term lambda/alpha is 1.9805983231642608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2816043395213553 the lambda is 0.5072359644604564 the regulation term lambda/alpha is 1.8012363208699433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2961911820087737 the lambda is 0.48654796638910897 the regulation term lambda/alpha is 1.6426821456646086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133990194502066 the lambda is 0.5466442836835519 the regulation term lambda/alpha is 1.7442437587792252 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308067501153499 the lambda is 0.4894356347271138 the regulation term lambda/alpha is 1.5887285510302678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980901099151958 the lambda is 0.5757325766606526 the regulation term lambda/alpha is 1.9314044898183431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3025929718884579 the lambda is 0.47314132838088685 the regulation term lambda/alpha is 1.5636229930525176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2871476675463359 the lambda is 0.48253596762200196 the regulation term lambda/alpha is 1.6804453671703148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32344801401553247 the lambda is 0.5211718041099419 the regulation term lambda/alpha is 1.6113000591338131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3059291235794915 the lambda is 0.4857467505724045 the regulation term lambda/alpha is 1.5877754457927242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196210741918744 the lambda is 0.44881887073482596 the regulation term lambda/alpha is 1.4042217706376636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31622343439324735 the lambda is 0.4866818842297026 the regulation term lambda/alpha is 1.5390443316243207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3436470629701178 the lambda is 0.4836280301746545 the regulation term lambda/alpha is 1.4073393381997532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3768940203509053 the lambda is 0.5511987625261422 the regulation term lambda/alpha is 1.4624768045217362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32683826751907774 the lambda is 0.5213070735454959 the regulation term lambda/alpha is 1.5950001127547493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3644905544590538 the lambda is 0.5031104428663136 the regulation term lambda/alpha is 1.3803113323827767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2935530619596126 the lambda is 0.5434576132277837 the regulation term lambda/alpha is 1.85130963921798 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29098931946763046 the lambda is 0.5075910996542775 the regulation term lambda/alpha is 1.7443633346506442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3434475306897102 the lambda is 0.5580957833686084 the regulation term lambda/alpha is 1.6249812081858395 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37249351286581395 the lambda is 0.5696759118633206 the regulation term lambda/alpha is 1.5293579409758449 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3239839396355266 the lambda is 0.5728990274559185 the regulation term lambda/alpha is 1.768294527501625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29900624041879864 the lambda is 0.5343518788282838 the regulation term lambda/alpha is 1.787092731174613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32175176500492114 the lambda is 0.5256850501942487 the regulation term lambda/alpha is 1.6338218072749606 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3783217762923107 the lambda is 0.5330633316299447 the regulation term lambda/alpha is 1.4090210107759507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29354411722771195 the lambda is 0.485632340798791 the regulation term lambda/alpha is 1.6543759942634781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2970943356546679 the lambda is 0.5016794494144311 the regulation term lambda/alpha is 1.6886200415398218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3009369155614261 the lambda is 0.5065770681182514 the regulation term lambda/alpha is 1.683333090502321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089627990713593 the lambda is 0.46485786366101056 the regulation term lambda/alpha is 1.5045755186650969 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30778170220639317 the lambda is 0.5127819333798733 the regulation term lambda/alpha is 1.6660572402579361 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32703739752198563 the lambda is 0.4931085446489428 the regulation term lambda/alpha is 1.5078047598999524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2934909506328198 the lambda is 0.5319692419182087 the regulation term lambda/alpha is 1.8125575618981995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3175723555116705 the lambda is 0.5526906440678974 the regulation term lambda/alpha is 1.740361320737146 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31905066033952756 the lambda is 0.5211148340949712 the regulation term lambda/alpha is 1.6333294328255294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2743024485007342 the lambda is 0.4529423197855702 the regulation term lambda/alpha is 1.6512514644372847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2979951319707242 the lambda is 0.47079333728179285 the regulation term lambda/alpha is 1.579869221917507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3379428806851793 the lambda is 0.5379141076041595 the regulation term lambda/alpha is 1.5917308466849145 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427758890225609 the lambda is 0.5057457824347782 the regulation term lambda/alpha is 1.475441530840843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3685710760224286 the lambda is 0.5538924379627655 the regulation term lambda/alpha is 1.5028103776897013 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336946633393855 the lambda is 0.45525122264279033 the regulation term lambda/alpha is 1.3642748076548508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2969597409479391 the lambda is 0.5109387773656375 the regulation term lambda/alpha is 1.7205658104854413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31861237088935 the lambda is 0.5013717082417012 the regulation term lambda/alpha is 1.5736102990672045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112237940873992 the lambda is 0.48681056384008664 the regulation term lambda/alpha is 1.5641817016837036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31278691360465627 the lambda is 0.4781663953645341 the regulation term lambda/alpha is 1.5287289031820157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2641822580219911 the lambda is 0.4273322097121429 the regulation term lambda/alpha is 1.6175658914860622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26050130679443273 the lambda is 0.5128464353583762 the regulation term lambda/alpha is 1.9686904517645067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32276143940496793 the lambda is 0.48565873746853777 the regulation term lambda/alpha is 1.5046987594425214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3431707924112534 the lambda is 0.5041544981905699 the regulation term lambda/alpha is 1.4691066644925737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336765396823164 the lambda is 0.5438903755689113 the regulation term lambda/alpha is 1.615042343125618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3370857652628557 the lambda is 0.46481900939364756 the regulation term lambda/alpha is 1.378933960712304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2962795929135826 the lambda is 0.5179768259661874 the regulation term lambda/alpha is 1.7482703444825796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2977996087148795 the lambda is 0.48487099562773894 the regulation term lambda/alpha is 1.6281787532231653 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3378760954812377 the lambda is 0.46839786134957595 the regulation term lambda/alpha is 1.3863006812673024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32852855680422505 the lambda is 0.4899344906009733 the regulation term lambda/alpha is 1.4912995551036143 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3184727924746658 the lambda is 0.5090684728801399 the regulation term lambda/alpha is 1.598467702451021 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3776629700247348 the lambda is 0.5221832838799895 the regulation term lambda/alpha is 1.3826700665034473 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28548237447935776 the lambda is 0.552372561052179 the regulation term lambda/alpha is 1.9348744806384506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29306447715789546 the lambda is 0.5276493602714001 the regulation term lambda/alpha is 1.8004548534454976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28730693758310866 the lambda is 0.48432080646089914 the regulation term lambda/alpha is 1.6857261106714512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3086645984779136 the lambda is 0.5438297336029527 the regulation term lambda/alpha is 1.7618791927700328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3263365858693036 the lambda is 0.5260983097034886 the regulation term lambda/alpha is 1.6121340128078336 630 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124816228348718 the lambda is 0.5349391261170883 the regulation term lambda/alpha is 1.7119058755009482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3036045622376649 the lambda is 0.4715493430070206 the regulation term lambda/alpha is 1.5531694897189547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3598452774523898 the lambda is 0.5108349488801299 the regulation term lambda/alpha is 1.4195960900104272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2633380036128159 the lambda is 0.4733888097487526 the regulation term lambda/alpha is 1.7976471426614633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133306640767119 the lambda is 0.49953508493971027 the regulation term lambda/alpha is 1.5942744908535682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2800439923603387 the lambda is 0.48587419610283117 the regulation term lambda/alpha is 1.7349923917583856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.365796042013028 the lambda is 0.5459496694535468 the regulation term lambda/alpha is 1.4924974760500622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3219015828149294 the lambda is 0.536282727991366 the regulation term lambda/alpha is 1.6659835074488918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151855167364362 the lambda is 0.5419882486883267 the regulation term lambda/alpha is 1.7195848790905803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3187165629130454 the lambda is 0.5674589939458313 the regulation term lambda/alpha is 1.7804502808366744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3698597775693148 the lambda is 0.5678481186075306 the regulation term lambda/alpha is 1.5353064946379877 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35419686035001535 the lambda is 0.5242021810642999 the regulation term lambda/alpha is 1.47997410407954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156446724708237 the lambda is 0.5129225544492264 the regulation term lambda/alpha is 1.6249998786107753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3242637019816451 the lambda is 0.5213365430103195 the regulation term lambda/alpha is 1.6077548607023233 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30762245222394274 the lambda is 0.48412356293388037 the regulation term lambda/alpha is 1.5737588704398224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34669505619563085 the lambda is 0.5155712365441105 the regulation term lambda/alpha is 1.4871029376697755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3612121382202013 the lambda is 0.5426264739064676 the regulation term lambda/alpha is 1.5022376506508008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33426656448118813 the lambda is 0.47873302664866274 the regulation term lambda/alpha is 1.4321893887044899 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32957256911766564 the lambda is 0.5764447778264019 the regulation term lambda/alpha is 1.7490678285807115 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32616695260813144 the lambda is 0.5290631590869227 the regulation term lambda/alpha is 1.6220624280184448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29282474450939855 the lambda is 0.4535604142450928 the regulation term lambda/alpha is 1.5489142319751439 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3045313096109033 the lambda is 0.5016023578271362 the regulation term lambda/alpha is 1.6471290208813956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3252946200133647 the lambda is 0.510451529145863 the regulation term lambda/alpha is 1.5691975758003351 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3176569690220403 the lambda is 0.520292986426682 the regulation term lambda/alpha is 1.637908300984204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2738343730778641 the lambda is 0.5324806630808558 the regulation term lambda/alpha is 1.944535512820541 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224409965251132 the lambda is 0.49086772136328904 the regulation term lambda/alpha is 1.5223489774975247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32142142421458597 the lambda is 0.5767870111967756 the regulation term lambda/alpha is 1.7944883811220484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30761531620706306 the lambda is 0.5689685701146585 the regulation term lambda/alpha is 1.8496106667578036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3137529798352818 the lambda is 0.5218140629985023 the regulation term lambda/alpha is 1.663136596415598 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32679603013495007 the lambda is 0.44901899358644404 the regulation term lambda/alpha is 1.3740038194497715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3482142552377562 the lambda is 0.5027070843938907 the regulation term lambda/alpha is 1.443671753330859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29537415716154203 the lambda is 0.5355607276970316 the regulation term lambda/alpha is 1.8131604093046296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3457310393724096 the lambda is 0.4538356772471366 the regulation term lambda/alpha is 1.3126842127654044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099126016721121 the lambda is 0.4952896790454488 the regulation term lambda/alpha is 1.598159211252293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3505340844997792 the lambda is 0.5290995437249049 the regulation term lambda/alpha is 1.509409689730866 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3835385134451643 the lambda is 0.5861441902890483 the regulation term lambda/alpha is 1.5282537991399165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29619211319487326 the lambda is 0.4686990383857889 the regulation term lambda/alpha is 1.5824156603299508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33690018771842184 the lambda is 0.4970392796023516 the regulation term lambda/alpha is 1.4753309666237782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3122046175647811 the lambda is 0.49318099710077007 the regulation term lambda/alpha is 1.579672334597797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35825403586704885 the lambda is 0.5201736161370312 the regulation term lambda/alpha is 1.4519686146119846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28934004440420547 the lambda is 0.4435055298084508 the regulation term lambda/alpha is 1.5328176600017298 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3310416587638638 the lambda is 0.532164468085256 the regulation term lambda/alpha is 1.607545316418486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3072135138025542 the lambda is 0.52594529649179 the regulation term lambda/alpha is 1.7119862013290683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3074480529920185 the lambda is 0.5606531087332405 the regulation term lambda/alpha is 1.8235702040623927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2820701539261933 the lambda is 0.531928126213143 the regulation term lambda/alpha is 1.885800815184182 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39751290289255864 the lambda is 0.5497939506393976 the regulation term lambda/alpha is 1.3830845404985461 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3032776093001418 the lambda is 0.45930655111216206 the regulation term lambda/alpha is 1.5144756389107665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30995688630660784 the lambda is 0.5637403266373444 the regulation term lambda/alpha is 1.8187701307584283 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3514252408414191 the lambda is 0.5411918540522707 the regulation term lambda/alpha is 1.539991415404575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3121287791631474 the lambda is 0.4811000092068117 the regulation term lambda/alpha is 1.5413510106203447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32417679373055364 the lambda is 0.49184733271227105 the regulation term lambda/alpha is 1.5172194377401373 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30266455255798896 the lambda is 0.5005390400870213 the regulation term lambda/alpha is 1.6537748998245199 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3106872286792029 the lambda is 0.5380781281801046 the regulation term lambda/alpha is 1.731896513633948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2927908462306565 the lambda is 0.5246070488920689 the regulation term lambda/alpha is 1.7917467559036695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3722335503562615 the lambda is 0.5541434364013291 the regulation term lambda/alpha is 1.4886982537467761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2995332517883299 the lambda is 0.5005600401798007 the regulation term lambda/alpha is 1.671133462449537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3380635204338467 the lambda is 0.5966032703409277 the regulation term lambda/alpha is 1.7647667798503948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.316050482836969 the lambda is 0.5318576486906651 the regulation term lambda/alpha is 1.682824983896695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34504159122987316 the lambda is 0.4957408832618907 the regulation term lambda/alpha is 1.436756889205333 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31721653269781014 the lambda is 0.48289814041856527 the regulation term lambda/alpha is 1.5222981485602087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33004806096008527 the lambda is 0.5275589321497982 the regulation term lambda/alpha is 1.5984306364811491 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3568593036581886 the lambda is 0.48248797500201496 the regulation term lambda/alpha is 1.352039781661844 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3233051129973214 the lambda is 0.523692177800691 the regulation term lambda/alpha is 1.619807905125923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28553781294370784 the lambda is 0.5062370523972396 the regulation term lambda/alpha is 1.7729247386826534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3146095084874401 the lambda is 0.4996602010731958 the regulation term lambda/alpha is 1.5881916712416952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3543212211186647 the lambda is 0.47376612314085925 the regulation term lambda/alpha is 1.3371090832354962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215219045206948 the lambda is 0.5035286773751757 the regulation term lambda/alpha is 1.5660789212038462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211043999890013 the lambda is 0.46179233232455813 the regulation term lambda/alpha is 1.4381376659440848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3653851965747662 the lambda is 0.5702012132497937 the regulation term lambda/alpha is 1.560548206646126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3002312964630761 the lambda is 0.44694586094523314 the regulation term lambda/alpha is 1.4886717880865585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3205039423886476 the lambda is 0.5281781666517066 the regulation term lambda/alpha is 1.647961528071409 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30539505344701273 the lambda is 0.5104117384638678 the regulation term lambda/alpha is 1.671316325208346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.338618946863893 the lambda is 0.582296993764553 the regulation term lambda/alpha is 1.7196231904843937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3049937951683465 the lambda is 0.5108425909883759 the regulation term lambda/alpha is 1.6749278151918063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35350589311300895 the lambda is 0.5350650313632531 the regulation term lambda/alpha is 1.5135957894546421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31392510639535653 the lambda is 0.5178870061996229 the regulation term lambda/alpha is 1.6497151570521322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40518718991503855 the lambda is 0.5254981143169324 the regulation term lambda/alpha is 1.2969267721102467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30053300924614634 the lambda is 0.5487727099004777 the regulation term lambda/alpha is 1.82599812006346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34181825685648143 the lambda is 0.45384180473907093 the regulation term lambda/alpha is 1.3277283926049175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300384543643067 the lambda is 0.48647753199424454 the regulation term lambda/alpha is 1.474002576249056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33064579319044823 the lambda is 0.5667557552641216 the regulation term lambda/alpha is 1.7140873010825717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27876283120733236 the lambda is 0.5046746459304352 the regulation term lambda/alpha is 1.8104086679873004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3311838800208253 the lambda is 0.5668415302044324 the regulation term lambda/alpha is 1.7115613542808563 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26535537144754756 the lambda is 0.5247210150883719 the regulation term lambda/alpha is 1.9774275237993166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2993720580020049 the lambda is 0.5260191081074801 the regulation term lambda/alpha is 1.757074830624164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31933413833770563 the lambda is 0.5136871304225181 the regulation term lambda/alpha is 1.608619526545196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129866133723237 the lambda is 0.5202631313233803 the regulation term lambda/alpha is 1.6622536207466607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2750092330392905 the lambda is 0.46809332203749754 the regulation term lambda/alpha is 1.7021003871918046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161861815495484 the lambda is 0.5034105668552215 the regulation term lambda/alpha is 1.5921333575937244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3183294276597456 the lambda is 0.5008526010850396 the regulation term lambda/alpha is 1.5733782602731547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40346527524840503 the lambda is 0.51146928493905 the regulation term lambda/alpha is 1.2676909670210135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40146604960003474 the lambda is 0.49480112225306544 the regulation term lambda/alpha is 1.232485593105611 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300277767829564 the lambda is 0.48463001149430807 the regulation term lambda/alpha is 1.468452189747126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3369148902499976 the lambda is 0.49191782408313905 the regulation term lambda/alpha is 1.460065548655704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33393446646243374 the lambda is 0.5675583413629816 the regulation term lambda/alpha is 1.69960994854908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28727098070724344 the lambda is 0.505039532119737 the regulation term lambda/alpha is 1.7580596928947043 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3237699176774353 the lambda is 0.527563567337704 the regulation term lambda/alpha is 1.6294397302942263 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3365136895636498 the lambda is 0.5157597022653881 the regulation term lambda/alpha is 1.5326559312762666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217330938867316 the lambda is 0.5057554020380275 the regulation term lambda/alpha is 1.5719719595152442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33958605444845374 the lambda is 0.48736306797477796 the regulation term lambda/alpha is 1.4351680865291703 640 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3123851390262573 the lambda is 0.5164721247077859 the regulation term lambda/alpha is 1.653318484732317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28751209483020906 the lambda is 0.5328911279182827 the regulation term lambda/alpha is 1.8534563849669796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30153346385787233 the lambda is 0.4908067201842445 the regulation term lambda/alpha is 1.62770232499165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089227325048146 the lambda is 0.4484810789580249 the regulation term lambda/alpha is 1.4517580992555648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3772892364430061 the lambda is 0.5080983020727671 the regulation term lambda/alpha is 1.346707652895158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058837261295811 the lambda is 0.5485846158513596 the regulation term lambda/alpha is 1.7934416544244773 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4073906080788441 the lambda is 0.5539776833637228 the regulation term lambda/alpha is 1.3598194763893747 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3303983348978902 the lambda is 0.4759746409319681 the regulation term lambda/alpha is 1.4406084736446034 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29575797203626053 the lambda is 0.4801302644162184 the regulation term lambda/alpha is 1.6233890877414912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28244828250745757 the lambda is 0.49540105108686283 the regulation term lambda/alpha is 1.7539531367969377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32128358085664244 the lambda is 0.4682067105484118 the regulation term lambda/alpha is 1.457300461168997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2983740381859383 the lambda is 0.5162964670433573 the regulation term lambda/alpha is 1.7303665901441998 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3309851921446765 the lambda is 0.4633737199965298 the regulation term lambda/alpha is 1.3999832348813515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31868709617678 the lambda is 0.5085198422906159 the regulation term lambda/alpha is 1.5956712662395753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2936169519390565 the lambda is 0.5737917908871366 the regulation term lambda/alpha is 1.954218879726786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32257421178076373 the lambda is 0.47564392073988226 the regulation term lambda/alpha is 1.4745255614641375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27672862410841764 the lambda is 0.44846146493259814 the regulation term lambda/alpha is 1.620582136659988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2967028770505167 the lambda is 0.5321061808194657 the regulation term lambda/alpha is 1.7933974422798376 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29047004478276855 the lambda is 0.46452574726470086 the regulation term lambda/alpha is 1.5992208339834213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32095694305792366 the lambda is 0.4786029138146658 the regulation term lambda/alpha is 1.4911748263015188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30175812120163353 the lambda is 0.5181118997396922 the regulation term lambda/alpha is 1.7169774840740473 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3220106784510529 the lambda is 0.5006475729923665 the regulation term lambda/alpha is 1.5547545671485152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3456033101396154 the lambda is 0.5583958421812426 the regulation term lambda/alpha is 1.6157132347941463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32254127002412125 the lambda is 0.4825194121258961 the regulation term lambda/alpha is 1.4959927828454662 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3623584551952778 the lambda is 0.5729789358358023 the regulation term lambda/alpha is 1.5812489749329002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31844293579547495 the lambda is 0.5129110959834289 the regulation term lambda/alpha is 1.6106844848109747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32873499538188045 the lambda is 0.5185873619231204 the regulation term lambda/alpha is 1.5775240519211982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3437790977412075 the lambda is 0.5756652323436735 the regulation term lambda/alpha is 1.674520749301131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39369065422558347 the lambda is 0.5448073170125957 the regulation term lambda/alpha is 1.383846203015078 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3003724870647833 the lambda is 0.4723502151479669 the regulation term lambda/alpha is 1.5725482042770849 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3488515094599807 the lambda is 0.5399522641958748 the regulation term lambda/alpha is 1.5477997071926577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29625794093880575 the lambda is 0.48243865438880296 the regulation term lambda/alpha is 1.6284412591946495 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073495123148852 the lambda is 0.520147465364373 the regulation term lambda/alpha is 1.6923647005220308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35225871256215086 the lambda is 0.5255833183218038 the regulation term lambda/alpha is 1.4920378107867875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34040188336684457 the lambda is 0.52119476520355 the regulation term lambda/alpha is 1.531115985753429 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3032532482693078 the lambda is 0.5299484274651164 the regulation term lambda/alpha is 1.747544108726213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2786482122777144 the lambda is 0.4843695077929825 the regulation term lambda/alpha is 1.7382832060312527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.280787103413132 the lambda is 0.5114268019298465 the regulation term lambda/alpha is 1.8214041731730324 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3473321835267726 the lambda is 0.42911548339553557 the regulation term lambda/alpha is 1.2354613357113768 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3116562830156769 the lambda is 0.5205101770951385 the regulation term lambda/alpha is 1.6701417730408978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40101666562389493 the lambda is 0.46410699202276545 the regulation term lambda/alpha is 1.1573259462938172 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28992471661544544 the lambda is 0.5852351680255324 the regulation term lambda/alpha is 2.018576321665549 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31701928746010194 the lambda is 0.5001030902893959 the regulation term lambda/alpha is 1.577516290242548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33310825658052207 the lambda is 0.5734036996059458 the regulation term lambda/alpha is 1.7213734222385968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3169706228866698 the lambda is 0.5238592280795416 the regulation term lambda/alpha is 1.6527059299966833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3103026770418863 the lambda is 0.5185287979591058 the regulation term lambda/alpha is 1.6710419739276436 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3178297411901257 the lambda is 0.44823494433153394 the regulation term lambda/alpha is 1.4102989312866094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.294896802872394 the lambda is 0.49140140310891467 the regulation term lambda/alpha is 1.6663503921456584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34369395879344694 the lambda is 0.5775193050798968 the regulation term lambda/alpha is 1.6803301027091202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31615135495014557 the lambda is 0.48863453686921576 the regulation term lambda/alpha is 1.5455715410306223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30053340950595864 the lambda is 0.513275402814934 the regulation term lambda/alpha is 1.7078813422397796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30754242903548024 the lambda is 0.5446758636436019 the regulation term lambda/alpha is 1.7710592497816433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32055898255632115 the lambda is 0.6097004205101418 the regulation term lambda/alpha is 1.9019913765886112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387305951611161 the lambda is 0.547626578304728 the regulation term lambda/alpha is 1.6167024358819766 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2932483221618335 the lambda is 0.4773993555679414 the regulation term lambda/alpha is 1.6279696062659188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37651824445519844 the lambda is 0.4641189463990457 the regulation term lambda/alpha is 1.232659912856549 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30668399290379644 the lambda is 0.48961401567823737 the regulation term lambda/alpha is 1.5964772437008936 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32906021555656106 the lambda is 0.4640560649591165 the regulation term lambda/alpha is 1.4102466449012323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066492365911946 the lambda is 0.5729119104075149 the regulation term lambda/alpha is 1.8682972009849967 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.292386599569667 the lambda is 0.4834120646267551 the regulation term lambda/alpha is 1.653331805692321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3518869529099747 the lambda is 0.5370677657558985 the regulation term lambda/alpha is 1.5262508635644123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35529362613676074 the lambda is 0.5149984647000954 the regulation term lambda/alpha is 1.4495009952749913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32970751550144406 the lambda is 0.5302821718879086 the regulation term lambda/alpha is 1.6083411719669642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875016322469548 the lambda is 0.4816310898452949 the regulation term lambda/alpha is 1.6752290624617707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32822290712952823 the lambda is 0.4698107024943898 the regulation term lambda/alpha is 1.431376946243993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28954830674919424 the lambda is 0.5060203063274521 the regulation term lambda/alpha is 1.7476196355924996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30543966820088214 the lambda is 0.48857010488005126 the regulation term lambda/alpha is 1.5995633696102876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36963323409330795 the lambda is 0.5555927961842031 the regulation term lambda/alpha is 1.5030921057383944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28287126425832554 the lambda is 0.5160598475639614 the regulation term lambda/alpha is 1.8243629267788821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27436805634563105 the lambda is 0.47809915838597633 the regulation term lambda/alpha is 1.742546726298553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3360058686815091 the lambda is 0.5168517453453321 the regulation term lambda/alpha is 1.5382223750241752 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3076705661579806 the lambda is 0.5557861142219023 the regulation term lambda/alpha is 1.8064325137183288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3003339593366846 the lambda is 0.4865232832881203 the regulation term lambda/alpha is 1.6199409629289077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3016772813293368 the lambda is 0.5110980424083944 the regulation term lambda/alpha is 1.694188041460225 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3404191200064228 the lambda is 0.5138206151848518 the regulation term lambda/alpha is 1.5093764861831418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2991205237805893 the lambda is 0.470741486654686 the regulation term lambda/alpha is 1.5737518800280788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29792362109662923 the lambda is 0.5260806165247516 the regulation term lambda/alpha is 1.7658237859364678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.316610306971141 the lambda is 0.5016348448798825 the regulation term lambda/alpha is 1.5843920233639346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35095675508785956 the lambda is 0.4873766428472115 the regulation term lambda/alpha is 1.3887085396752092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3382864561610449 the lambda is 0.5842063642224603 the regulation term lambda/alpha is 1.7269575934318298 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3176817932302676 the lambda is 0.4504343250867952 the regulation term lambda/alpha is 1.4178789426572636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.286541921043062 the lambda is 0.4928765286707996 the regulation term lambda/alpha is 1.7200852387554466 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2933434647967083 the lambda is 0.5057233480911408 the regulation term lambda/alpha is 1.7239973232115984 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3007220720104369 the lambda is 0.5273652901568334 the regulation term lambda/alpha is 1.7536633963420238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30028317018301465 the lambda is 0.5095024455081646 the regulation term lambda/alpha is 1.6967399311710887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33296774621632214 the lambda is 0.5160191447941058 the regulation term lambda/alpha is 1.54975714812587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32258896851978053 the lambda is 0.4976415206783968 the regulation term lambda/alpha is 1.5426489100413314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28562359697546097 the lambda is 0.5328518077293372 the regulation term lambda/alpha is 1.8655734798239254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3621121356801981 the lambda is 0.5596892650006837 the regulation term lambda/alpha is 1.545624158520269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2678786359054084 the lambda is 0.468197571023073 the regulation term lambda/alpha is 1.7477973539793594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3977629576889952 the lambda is 0.49937135717372727 the regulation term lambda/alpha is 1.2554496277759934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3132817209265091 the lambda is 0.5145084701503317 the regulation term lambda/alpha is 1.642318832483135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29486468247277553 the lambda is 0.5183825548080032 the regulation term lambda/alpha is 1.7580354163163125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3191301443097341 the lambda is 0.56958093770205 the regulation term lambda/alpha is 1.784792028763159 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3298803586135086 the lambda is 0.4868383761546409 the regulation term lambda/alpha is 1.4758028583478835 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32383854912776144 the lambda is 0.5157199066607203 the regulation term lambda/alpha is 1.592521668744438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3276303767773391 the lambda is 0.4669248687288676 the regulation term lambda/alpha is 1.4251574390679729 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28157339231938033 the lambda is 0.49056926189226585 the regulation term lambda/alpha is 1.7422429649738627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3438816905944992 the lambda is 0.4888069840283098 the regulation term lambda/alpha is 1.4214394002287973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2929321671465866 the lambda is 0.4688665302410363 the regulation term lambda/alpha is 1.600597622337632 650 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3435468116999493 the lambda is 0.551967422975942 the regulation term lambda/alpha is 1.6066731058998314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30959764956281743 the lambda is 0.5007773287480854 the regulation term lambda/alpha is 1.6175101117700108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33435017936454375 the lambda is 0.5512868163536261 the regulation term lambda/alpha is 1.6488306284189402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2816521882028181 the lambda is 0.5784112434620032 the regulation term lambda/alpha is 2.0536366046106784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31817346743109337 the lambda is 0.5118130347671637 the regulation term lambda/alpha is 1.6085974701143384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35225388455376 the lambda is 0.5451841874774034 the regulation term lambda/alpha is 1.5477024140359732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2931488800045355 the lambda is 0.4691323251588878 the regulation term lambda/alpha is 1.6003210558117418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29725454748079705 the lambda is 0.5129098896485689 the regulation term lambda/alpha is 1.72549047271246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2716676438528169 the lambda is 0.5147260027041523 the regulation term lambda/alpha is 1.8946901272608623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33348380659782484 the lambda is 0.5170643862707406 the regulation term lambda/alpha is 1.5504932354760794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33280153977520555 the lambda is 0.5416344784579755 the regulation term lambda/alpha is 1.6274999172895308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2969355343174391 the lambda is 0.5023648347466175 the regulation term lambda/alpha is 1.6918313124813285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2747122088409248 the lambda is 0.5283296523334814 the regulation term lambda/alpha is 1.923211402080119 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2733092113288013 the lambda is 0.4186681860851134 the regulation term lambda/alpha is 1.5318480634062486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3343631608021479 the lambda is 0.45011610092427967 the regulation term lambda/alpha is 1.346189274692932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30372905493471436 the lambda is 0.49872645014669403 the regulation term lambda/alpha is 1.6420110030431359 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33082062064100365 the lambda is 0.5188940908394621 the regulation term lambda/alpha is 1.5685058864651307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3098619020158 the lambda is 0.545813895639472 the regulation term lambda/alpha is 1.7614746830400618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36360416353339686 the lambda is 0.5152522654343549 the regulation term lambda/alpha is 1.4170692118244383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29753799227379457 the lambda is 0.4840506126063844 the regulation term lambda/alpha is 1.626853125233704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3576866779274985 the lambda is 0.5362313599849385 the regulation term lambda/alpha is 1.499165032066501 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3018008432999682 the lambda is 0.49999430693645 the regulation term lambda/alpha is 1.6567028159013188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2968377272817013 the lambda is 0.5345391153143741 the regulation term lambda/alpha is 1.8007788976469705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38847747725648163 the lambda is 0.5236881143676371 the regulation term lambda/alpha is 1.3480527058249154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3674133740521339 the lambda is 0.5311972798468139 the regulation term lambda/alpha is 1.4457755687778526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36890737923364486 the lambda is 0.5601206932423946 the regulation term lambda/alpha is 1.5183233645419874 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2913166789406155 the lambda is 0.4974610820531744 the regulation term lambda/alpha is 1.70762993681725 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2659149041233918 the lambda is 0.478842581533284 the regulation term lambda/alpha is 1.8007361532134654 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.395581206087751 the lambda is 0.5668529700296963 the regulation term lambda/alpha is 1.4329623382157148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30030586071776844 the lambda is 0.48580087345567885 the regulation term lambda/alpha is 1.6176869552081141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31528620407170765 the lambda is 0.47356582278382797 the regulation term lambda/alpha is 1.5020188535624024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3514520271085191 the lambda is 0.5522172542592211 the regulation term lambda/alpha is 1.5712450396216124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3092034876799858 the lambda is 0.4582278601136105 the regulation term lambda/alpha is 1.4819621329364159 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34698748766720094 the lambda is 0.5705986033823247 the regulation term lambda/alpha is 1.6444356746649935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28589360683015896 the lambda is 0.513325492673334 the regulation term lambda/alpha is 1.7955123179032322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35032824336132645 the lambda is 0.4497836934551628 the regulation term lambda/alpha is 1.2838921839118138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31571808987268746 the lambda is 0.5116361659442898 the regulation term lambda/alpha is 1.620547514875077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3038740771240546 the lambda is 0.5181408712955856 the regulation term lambda/alpha is 1.7051170544042753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206623092175891 the lambda is 0.4986222330578727 the regulation term lambda/alpha is 1.554976118878776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33559992032544317 the lambda is 0.5542017068189289 the regulation term lambda/alpha is 1.6513761573051025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29596344781391276 the lambda is 0.4956848848813053 the regulation term lambda/alpha is 1.6748179160048424 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.32189540956083657 the lambda is 0.48699242213226895 the regulation term lambda/alpha is 1.512890235982784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35462078228976757 the lambda is 0.536082608489373 the regulation term lambda/alpha is 1.5117066885587358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3122625588082285 the lambda is 0.4775288994400321 the regulation term lambda/alpha is 1.5292544237854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31939755920201424 the lambda is 0.5241293336141348 the regulation term lambda/alpha is 1.6409935471129595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33173542035992637 the lambda is 0.5272728373396468 the regulation term lambda/alpha is 1.5894378621600498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3451727994167752 the lambda is 0.5267811012762421 the regulation term lambda/alpha is 1.526137349658847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27444138359653647 the lambda is 0.519492665419798 the regulation term lambda/alpha is 1.8929093659705414 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27473023850037076 the lambda is 0.552240935818852 the regulation term lambda/alpha is 2.0101206872359145 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4133714637363165 the lambda is 0.5373980714225135 the regulation term lambda/alpha is 1.3000366947567328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3737185923825231 the lambda is 0.4989167019481677 the regulation term lambda/alpha is 1.3350063714183558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3395738212786157 the lambda is 0.5134016250198197 the regulation term lambda/alpha is 1.5118998958361418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3094745725594883 the lambda is 0.5477949014845951 the regulation term lambda/alpha is 1.770080484978442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2968825754730839 the lambda is 0.49075358387333756 the regulation term lambda/alpha is 1.6530225227644946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31770472252216975 the lambda is 0.5187117942066708 the regulation term lambda/alpha is 1.6326851867002845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2897255803335445 the lambda is 0.5191669698863114 the regulation term lambda/alpha is 1.791926585455879 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32187589299199104 the lambda is 0.5144306811748444 the regulation term lambda/alpha is 1.598226808453917 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2731251314160818 the lambda is 0.47882027030095387 the regulation term lambda/alpha is 1.7531168509408013 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29369331772243534 the lambda is 0.49018895317236966 the regulation term lambda/alpha is 1.6690504127698236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3001367682184808 the lambda is 0.4983619666784223 the regulation term lambda/alpha is 1.660449566497784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29045043103127777 the lambda is 0.49063915953565435 the regulation term lambda/alpha is 1.6892354326815195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3175178402376511 the lambda is 0.5282634171320796 the regulation term lambda/alpha is 1.6637283018072078 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.371005649778555 the lambda is 0.49579339533257627 the regulation term lambda/alpha is 1.3363499871996674 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31731872496959035 the lambda is 0.5171505429330879 the regulation term lambda/alpha is 1.629751105872016 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34492906776627913 the lambda is 0.46397301567076893 the regulation term lambda/alpha is 1.3451258795769365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36371760023605926 the lambda is 0.5314190401494561 the regulation term lambda/alpha is 1.4610759550941597 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3841097099573969 the lambda is 0.5194138164482328 the regulation term lambda/alpha is 1.3522538040130332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301578730797124 the lambda is 0.5425990298970061 the regulation term lambda/alpha is 1.6434532511239026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29668946765078197 the lambda is 0.5112016956548744 the regulation term lambda/alpha is 1.7230193565771732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3028448056769516 the lambda is 0.5227656245263675 the regulation term lambda/alpha is 1.7261832289242176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31518163812431327 the lambda is 0.5134455868409792 the regulation term lambda/alpha is 1.6290466344948276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2606929061179619 the lambda is 0.498476205480936 the regulation term lambda/alpha is 1.912120329255828 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28231042820830327 the lambda is 0.5158050817762386 the regulation term lambda/alpha is 1.8270847628612958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28842205384506686 the lambda is 0.42543020325354075 the regulation term lambda/alpha is 1.4750266062596977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30392744016621376 the lambda is 0.520416832278194 the regulation term lambda/alpha is 1.712306174110456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3142489194870971 the lambda is 0.4564805249857083 the regulation term lambda/alpha is 1.4526080972076378 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31184418032395006 the lambda is 0.5225557583235088 the regulation term lambda/alpha is 1.6756950788072018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3600366040877172 the lambda is 0.5330349711756354 the regulation term lambda/alpha is 1.4805021631794135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3710168907702062 the lambda is 0.4934596257991977 the regulation term lambda/alpha is 1.3300193012097337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2637422432184698 the lambda is 0.5690063271539029 the regulation term lambda/alpha is 2.1574334100228643 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3359091101393127 the lambda is 0.5337492147650471 the regulation term lambda/alpha is 1.588969154613531 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28658781412462647 the lambda is 0.5578999419427748 the regulation term lambda/alpha is 1.946698060581755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3168435570755175 the lambda is 0.5485909747603225 the regulation term lambda/alpha is 1.7314253754245337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3580875393578926 the lambda is 0.5034981061659735 the regulation term lambda/alpha is 1.4060754726869997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34375809305981514 the lambda is 0.6157012948833086 the regulation term lambda/alpha is 1.791088871255096 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32165657199242975 the lambda is 0.5480800918435297 the regulation term lambda/alpha is 1.7039294065983792 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.330031278412824 the lambda is 0.47664689306163655 the regulation term lambda/alpha is 1.4442476342057995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3259595221690273 the lambda is 0.5423753893766107 the regulation term lambda/alpha is 1.6639347909442581 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.320762414588166 the lambda is 0.4800631497513458 the regulation term lambda/alpha is 1.4966315500764313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161707064738678 the lambda is 0.4536299132143515 the regulation term lambda/alpha is 1.434762626409999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3248518982665291 the lambda is 0.516555892141561 the regulation term lambda/alpha is 1.5901273623395782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2806483847666578 the lambda is 0.4505763943746986 the regulation term lambda/alpha is 1.6054836543931141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32976250555965986 the lambda is 0.5171486644562975 the regulation term lambda/alpha is 1.5682458003483848 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2785878616138802 the lambda is 0.44850012335186157 the regulation term lambda/alpha is 1.609905473819523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2886719279153165 the lambda is 0.5235765891335534 the regulation term lambda/alpha is 1.813742655597421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28928280950915813 the lambda is 0.4214733907000373 the regulation term lambda/alpha is 1.4569596838995518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2925611152981597 the lambda is 0.5104603088146983 the regulation term lambda/alpha is 1.744798888582543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35542240424635907 the lambda is 0.5031149087460453 the regulation term lambda/alpha is 1.415540783966207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2966218489317137 the lambda is 0.4958587962787782 the regulation term lambda/alpha is 1.671686688167504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33809069323299656 the lambda is 0.5808294555861733 the regulation term lambda/alpha is 1.7179693709755337 660 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3423706333601451 the lambda is 0.47822022779871215 the regulation term lambda/alpha is 1.396791024701189 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26798862273502316 the lambda is 0.47055813638201033 the regulation term lambda/alpha is 1.755888483546856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30733465468795873 the lambda is 0.5165383710645539 the regulation term lambda/alpha is 1.6807033088702694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3285558590845542 the lambda is 0.5504673805655463 the regulation term lambda/alpha is 1.675414896265426 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3050582053833144 the lambda is 0.5066511747240202 the regulation term lambda/alpha is 1.6608344433397504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3259028532832653 the lambda is 0.4664941352125019 the regulation term lambda/alpha is 1.4313901535775715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32197286815397647 the lambda is 0.5304447660148877 the regulation term lambda/alpha is 1.6474828113815294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29567127907953217 the lambda is 0.43585829224432193 the regulation term lambda/alpha is 1.4741313177296502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300793452567257 the lambda is 0.5273746242099928 the regulation term lambda/alpha is 1.597720765592942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427858545469396 the lambda is 0.5531610706885578 the regulation term lambda/alpha is 1.6137219880898275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29553925874640835 the lambda is 0.5467496217897785 the regulation term lambda/alpha is 1.850006743973479 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.267635537297004 the lambda is 0.47815674241638256 the regulation term lambda/alpha is 1.7865966053893516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224494773448903 the lambda is 0.4682666441590287 the regulation term lambda/alpha is 1.4522170977445037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387787714393991 the lambda is 0.5396037734934724 the regulation term lambda/alpha is 1.5927909862852696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3085877768158096 the lambda is 0.5002425580340495 the regulation term lambda/alpha is 1.621070553071955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34519907220610785 the lambda is 0.5404551144091807 the regulation term lambda/alpha is 1.5656331604694795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28243935093387806 the lambda is 0.5105375780328241 the regulation term lambda/alpha is 1.8076007339088742 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3088197294162426 the lambda is 0.5097650191841717 the regulation term lambda/alpha is 1.6506879924665858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3378321983152691 the lambda is 0.5358621447621914 the regulation term lambda/alpha is 1.5861784265516288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31942450790879123 the lambda is 0.5375782010733745 the regulation term lambda/alpha is 1.6829585324958067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32955881438872414 the lambda is 0.5490321530825347 the regulation term lambda/alpha is 1.665961064039196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3182280320302076 the lambda is 0.5020849211774406 the regulation term lambda/alpha is 1.577752022580401 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36095505808519723 the lambda is 0.603404669052356 the regulation term lambda/alpha is 1.6716891910403227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3046443204466051 the lambda is 0.48555006233363673 the regulation term lambda/alpha is 1.5938260776430226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30629070408281023 the lambda is 0.5077770424890788 the regulation term lambda/alpha is 1.657827141733279 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26903210091716795 the lambda is 0.48528142144235004 the regulation term lambda/alpha is 1.80380489832982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3003761229988788 the lambda is 0.47510010387335594 the regulation term lambda/alpha is 1.5816839871627524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2957552934687992 the lambda is 0.44300619756761134 the regulation term lambda/alpha is 1.49788087432608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34152836064157716 the lambda is 0.4837668632648306 the regulation term lambda/alpha is 1.416476401421105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124243619205307 the lambda is 0.5344416521361522 the regulation term lambda/alpha is 1.7106273302467194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36622553845742545 the lambda is 0.48887194395216643 the regulation term lambda/alpha is 1.33489309896666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28426371877438317 the lambda is 0.5107259499425348 the regulation term lambda/alpha is 1.796662451840687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34484108374794203 the lambda is 0.5328941124154079 the regulation term lambda/alpha is 1.5453324372594803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29614752597719207 the lambda is 0.5158555030569989 the regulation term lambda/alpha is 1.7418869239404948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2901134659832003 the lambda is 0.5307456569393539 the regulation term lambda/alpha is 1.8294416467041485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3251162520553353 the lambda is 0.49940094839296206 the regulation term lambda/alpha is 1.5360688530204982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3366051792317081 the lambda is 0.4791534702603233 the regulation term lambda/alpha is 1.4234881095827987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3235865810879417 the lambda is 0.5073436289340302 the regulation term lambda/alpha is 1.567875983077767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35131801442125743 the lambda is 0.5352155402135811 the regulation term lambda/alpha is 1.5234503163615638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517082064648005 the lambda is 0.5331362591991726 the regulation term lambda/alpha is 1.5158482213366544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30980925630053824 the lambda is 0.46980530441988627 the regulation term lambda/alpha is 1.516434047290504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30464838154013035 the lambda is 0.5240029504036443 the regulation term lambda/alpha is 1.720025387151512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3174715045353005 the lambda is 0.5394568603124951 the regulation term lambda/alpha is 1.6992292303591974 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33700015843481346 the lambda is 0.5034170164830978 the regulation term lambda/alpha is 1.493818337715929 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34536046469083453 the lambda is 0.5835767821074379 the regulation term lambda/alpha is 1.689761399382682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27791325422913615 the lambda is 0.48987373834964987 the regulation term lambda/alpha is 1.7626857693723195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27989238559809554 the lambda is 0.4889590539356821 the regulation term lambda/alpha is 1.7469537547112504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3162913986519748 the lambda is 0.5430604831272179 the regulation term lambda/alpha is 1.716962539739388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31925845123594654 the lambda is 0.491455326453351 the regulation term lambda/alpha is 1.5393651273780788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33347601860191217 the lambda is 0.4973449286390468 the regulation term lambda/alpha is 1.4913963850358714 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3369086598718459 the lambda is 0.4989335371609369 the regulation term lambda/alpha is 1.480916333081858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3191751280544027 the lambda is 0.5143212801418131 the regulation term lambda/alpha is 1.611407766253479 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34958417239164674 the lambda is 0.501942027594476 the regulation term lambda/alpha is 1.4358259533333204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3400328757657574 the lambda is 0.501492755443375 the regulation term lambda/alpha is 1.4748360855226377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2633264404657107 the lambda is 0.5347928831427436 the regulation term lambda/alpha is 2.0309122099433923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32433474884835095 the lambda is 0.4953201272184497 the regulation term lambda/alpha is 1.527187971616468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30096679528736037 the lambda is 0.5007390074284412 the regulation term lambda/alpha is 1.6637682803192297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29957224270275484 the lambda is 0.5460619377311267 the regulation term lambda/alpha is 1.8228055203129976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3695919429117545 the lambda is 0.543387932668701 the regulation term lambda/alpha is 1.470237495946828 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33582704286418874 the lambda is 0.5075496159433296 the regulation term lambda/alpha is 1.5113423017234109 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33177817095987755 the lambda is 0.5486939330760048 the regulation term lambda/alpha is 1.6537975704928436 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24622351160050018 the lambda is 0.4784087135983062 the regulation term lambda/alpha is 1.9429855032468573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31174372492351354 the lambda is 0.49586294972738576 the regulation term lambda/alpha is 1.5906108450107406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32699001436477687 the lambda is 0.5159905882031119 the regulation term lambda/alpha is 1.578001056715737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2917814396669142 the lambda is 0.5399807741015242 the regulation term lambda/alpha is 1.8506344156706618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3279722134998426 the lambda is 0.5498575751445508 the regulation term lambda/alpha is 1.6765370739092038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336449415621776 the lambda is 0.4814687140404107 the regulation term lambda/alpha is 1.4310285341130151 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3205089455582201 the lambda is 0.516984342276431 the regulation term lambda/alpha is 1.613010648972733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2929742587963698 the lambda is 0.502315036299169 the regulation term lambda/alpha is 1.714536418191949 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2981689985592307 the lambda is 0.4895585369918498 the regulation term lambda/alpha is 1.641882755609819 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3017651408858724 the lambda is 0.529708856153895 the regulation term lambda/alpha is 1.7553679480633944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31554502002502843 the lambda is 0.5193208734207296 the regulation term lambda/alpha is 1.645790110645822 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321509752233605 the lambda is 0.5055293514916978 the regulation term lambda/alpha is 1.572360863020996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2994403244290481 the lambda is 0.4937064705854418 the regulation term lambda/alpha is 1.64876414533282 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31103116514855156 the lambda is 0.49699950515066804 the regulation term lambda/alpha is 1.5979090227607775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2735178242027215 the lambda is 0.5110416651804276 the regulation term lambda/alpha is 1.8684035187471437 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3121157395573533 the lambda is 0.5027635734869681 the regulation term lambda/alpha is 1.610824158371488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32075481828724056 the lambda is 0.5642524008785774 the regulation term lambda/alpha is 1.7591392824324816 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2938040283138982 the lambda is 0.5631964056632892 the regulation term lambda/alpha is 1.9169117894516208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32963959512452123 the lambda is 0.5014379934117192 the regulation term lambda/alpha is 1.5211703958752323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37087459875225604 the lambda is 0.537453575027267 the regulation term lambda/alpha is 1.449151753275736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2815112982364469 the lambda is 0.5199862597499386 the regulation term lambda/alpha is 1.8471239449622086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3532851112940279 the lambda is 0.5735740229048838 the regulation term lambda/alpha is 1.6235442835503942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37845150421790574 the lambda is 0.5506185732836222 the regulation term lambda/alpha is 1.4549250489082102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31556782971361863 the lambda is 0.47701548940083366 the regulation term lambda/alpha is 1.5116100073753735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193077178971756 the lambda is 0.5120201190836171 the regulation term lambda/alpha is 1.6035319235487422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2616654649583326 the lambda is 0.5229997485237712 the regulation term lambda/alpha is 1.998734332813286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3302597164229661 the lambda is 0.4579438995011678 the regulation term lambda/alpha is 1.386617491412957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32826229193455336 the lambda is 0.5159048796220882 the regulation term lambda/alpha is 1.5716239491953152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100379294357245 the lambda is 0.47625452222610826 the regulation term lambda/alpha is 1.5361169618598003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2835422231575044 the lambda is 0.47011103368288504 the regulation term lambda/alpha is 1.6579930440262645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29064929440533027 the lambda is 0.5175819884819449 the regulation term lambda/alpha is 1.780778410423875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28967643252928993 the lambda is 0.4690256960906131 the regulation term lambda/alpha is 1.6191365379480387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.346535679527779 the lambda is 0.4882166466690213 the regulation term lambda/alpha is 1.4088495803211656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35051389812673944 the lambda is 0.5229779954048678 the regulation term lambda/alpha is 1.4920321225487283 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29263484635273207 the lambda is 0.511184171046022 the regulation term lambda/alpha is 1.7468328786444591 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35614413343029383 the lambda is 0.5506280483365233 the regulation term lambda/alpha is 1.5460820399679414 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2998519073529917 the lambda is 0.4807039563164559 the regulation term lambda/alpha is 1.6031378975040553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35295874342677946 the lambda is 0.5043795388510263 the regulation term lambda/alpha is 1.429004234189367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.283583351629862 the lambda is 0.49948793926794044 the regulation term lambda/alpha is 1.761344368056842 670 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31979913536858656 the lambda is 0.4691821109774 the regulation term lambda/alpha is 1.4671150077896273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29576783362361114 the lambda is 0.47255410549760757 the regulation term lambda/alpha is 1.5977197374984715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3252456415985127 the lambda is 0.49526897810277265 the regulation term lambda/alpha is 1.5227536199059628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3013295367812597 the lambda is 0.4610172540031336 the regulation term lambda/alpha is 1.5299437915301146 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35792742136504724 the lambda is 0.5181946830452532 the regulation term lambda/alpha is 1.4477646922635488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3252709249660739 the lambda is 0.5269758587308442 the regulation term lambda/alpha is 1.6201136292332563 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3097924654771203 the lambda is 0.49276152600595347 the regulation term lambda/alpha is 1.5906181748062762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33725881488883774 the lambda is 0.503257698750824 the regulation term lambda/alpha is 1.4922002821978142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3101246571752511 the lambda is 0.4511724041651175 the regulation term lambda/alpha is 1.4548098441271649 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28716527432498246 the lambda is 0.5154365087049552 the regulation term lambda/alpha is 1.79491238944734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38825012546740134 the lambda is 0.512184116400858 the regulation term lambda/alpha is 1.3192117215268293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32675032748696037 the lambda is 0.5897415288938739 the regulation term lambda/alpha is 1.8048689757393088 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30272034488322824 the lambda is 0.5332526002518612 the regulation term lambda/alpha is 1.7615353882394615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3476557282323538 the lambda is 0.5058258292104809 the regulation term lambda/alpha is 1.4549618721438555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2851028561251956 the lambda is 0.4456583026244983 the regulation term lambda/alpha is 1.56314920405006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3015001755291011 the lambda is 0.48368065330920557 the regulation term lambda/alpha is 1.6042466723622861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3391267790781333 the lambda is 0.5612504231355037 the regulation term lambda/alpha is 1.654987036591982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30523147534183065 the lambda is 0.4697608723500757 the regulation term lambda/alpha is 1.5390315557200893 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2922884260502823 the lambda is 0.5630170808516072 the regulation term lambda/alpha is 1.9262380261158594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35219373558462197 the lambda is 0.562605871788898 the regulation term lambda/alpha is 1.5974329323461804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2972361194177407 the lambda is 0.5175533672627326 the regulation term lambda/alpha is 1.741219634668135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3042604306362333 the lambda is 0.4821942999168356 the regulation term lambda/alpha is 1.584807787553998 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31892195305555193 the lambda is 0.4585981096518373 the regulation term lambda/alpha is 1.4379634429617194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3034529327839798 the lambda is 0.5009497447843614 the regulation term lambda/alpha is 1.650831778715991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35321432789346574 the lambda is 0.4845047163698369 the regulation term lambda/alpha is 1.371701763230766 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3305518254107241 the lambda is 0.4924506695606304 the regulation term lambda/alpha is 1.4897835428642403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31459836752112214 the lambda is 0.5293447281563214 the regulation term lambda/alpha is 1.6826048155535365 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3453122652417601 the lambda is 0.5477225785082066 the regulation term lambda/alpha is 1.5861660115800837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971039971553533 the lambda is 0.5192111127283783 the regulation term lambda/alpha is 1.7475736365030692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2887958717947159 the lambda is 0.4601202413565696 the regulation term lambda/alpha is 1.5932369063905312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3433908557905944 the lambda is 0.5175971787086883 the regulation term lambda/alpha is 1.5073120614030788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29976458954533863 the lambda is 0.5008963501292435 the regulation term lambda/alpha is 1.6709657097556687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32898796111064 the lambda is 0.5123849234221085 the regulation term lambda/alpha is 1.5574579741226195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35921693214335393 the lambda is 0.5944514567691858 the regulation term lambda/alpha is 1.6548536652274397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2940520830374659 the lambda is 0.5288316057605517 the regulation term lambda/alpha is 1.7984283610504876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27221856554700113 the lambda is 0.4790274555708188 the regulation term lambda/alpha is 1.7597163316478874 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.307481906480784 the lambda is 0.5630656028885205 the regulation term lambda/alpha is 1.8312154016896898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33250136982857936 the lambda is 0.5238455390017163 the regulation term lambda/alpha is 1.575468814675212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33143720187523396 the lambda is 0.5186021201940338 the regulation term lambda/alpha is 1.5647070312561235 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387211092241524 the lambda is 0.5309280163411428 the regulation term lambda/alpha is 1.5674488594975504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3768998975190153 the lambda is 0.5716717726703242 the regulation term lambda/alpha is 1.516773489283006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2921256180915777 the lambda is 0.5116002709013264 the regulation term lambda/alpha is 1.751302313859191 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3287015085852795 the lambda is 0.5367117093309443 the regulation term lambda/alpha is 1.6328239917149567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3216624876274028 the lambda is 0.49885334710100326 the regulation term lambda/alpha is 1.5508595695462295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32078691735084275 the lambda is 0.48218990900056946 the regulation term lambda/alpha is 1.5031470515775467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2804883820616239 the lambda is 0.5327152181720363 the regulation term lambda/alpha is 1.8992416522086022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3544856734675162 the lambda is 0.5503929823922902 the regulation term lambda/alpha is 1.5526522609741695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31635491508272406 the lambda is 0.5097089728071652 the regulation term lambda/alpha is 1.6111934681776028 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36603950060415835 the lambda is 0.504376022312554 the regulation term lambda/alpha is 1.3779278506283266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.289248385581478 the lambda is 0.4548317290969746 the regulation term lambda/alpha is 1.5724607353732445 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31333616165947986 the lambda is 0.5102488638018389 the regulation term lambda/alpha is 1.6284391214198737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211257038892089 the lambda is 0.4964494350648794 the regulation term lambda/alpha is 1.5459660471033445 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171559119184891 the lambda is 0.5005240164071125 the regulation term lambda/alpha is 1.578163917485953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31879044121990197 the lambda is 0.5353675193942373 the regulation term lambda/alpha is 1.6793713053175903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387766313496382 the lambda is 0.5355475634995929 the regulation term lambda/alpha is 1.5808279377655037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30504474532475223 the lambda is 0.48836064131590506 the regulation term lambda/alpha is 1.6009475619584719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28867665771936873 the lambda is 0.4422401839079291 the regulation term lambda/alpha is 1.5319568523543183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2966499123218957 the lambda is 0.49089430412212176 the regulation term lambda/alpha is 1.6547933565186794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3012833870564011 the lambda is 0.4951027332637569 the regulation term lambda/alpha is 1.6433124245615052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323248110507468 the lambda is 0.5451849144769327 the regulation term lambda/alpha is 1.6865834532521957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31736945385471504 the lambda is 0.5042249290565216 the regulation term lambda/alpha is 1.5887632629173727 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30318964669424653 the lambda is 0.47229362630167476 the regulation term lambda/alpha is 1.557749848819746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3496503069711685 the lambda is 0.5326157654518491 the regulation term lambda/alpha is 1.5232812751277451 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322594057712222 the lambda is 0.5152045489599544 the regulation term lambda/alpha is 1.5970676974451754 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.342065368016431 the lambda is 0.46233048109126 the regulation term lambda/alpha is 1.3515851773367835 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27294595243668535 the lambda is 0.5528611916084534 the regulation term lambda/alpha is 2.0255335778855317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27632401009683943 the lambda is 0.5254155639607554 the regulation term lambda/alpha is 1.9014473761314492 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31695746330256125 the lambda is 0.5223337012323942 the regulation term lambda/alpha is 1.6479615144249968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29620542891107454 the lambda is 0.5416273147299231 the regulation term lambda/alpha is 1.8285529631279243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33929678654785345 the lambda is 0.5173196631073732 the regulation term lambda/alpha is 1.524681882109166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31013312214237876 the lambda is 0.4933919207783192 the regulation term lambda/alpha is 1.590903665400203 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33768464945856713 the lambda is 0.528840031594435 the regulation term lambda/alpha is 1.5660766115438187 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3519126092972243 the lambda is 0.49379881177757806 the regulation term lambda/alpha is 1.4031859010784042 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3031654187094177 the lambda is 0.4849820804044226 the regulation term lambda/alpha is 1.5997275760177485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246862603711964 the lambda is 0.49957312737278387 the regulation term lambda/alpha is 1.5386334081449848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30708270121160774 the lambda is 0.500519464072051 the regulation term lambda/alpha is 1.6299174850853868 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32772209713182665 the lambda is 0.5273668320980827 the regulation term lambda/alpha is 1.609189116979038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3268240934308774 the lambda is 0.4856694556226496 the regulation term lambda/alpha is 1.4860270873064247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3241905712110631 the lambda is 0.5957480790874481 the regulation term lambda/alpha is 1.8376477664416355 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28056011953555515 the lambda is 0.48859489750631646 the regulation term lambda/alpha is 1.741498037266117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34130588295047076 the lambda is 0.5422816621813672 the regulation term lambda/alpha is 1.588843583630996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2976989271077131 the lambda is 0.5054369063726325 the regulation term lambda/alpha is 1.6978123209350897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112771228992298 the lambda is 0.5179766874988342 the regulation term lambda/alpha is 1.664037121245558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29823287828477557 the lambda is 0.5200437678809684 the regulation term lambda/alpha is 1.743750624920673 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28883254594571023 the lambda is 0.48698374976536185 the regulation term lambda/alpha is 1.6860418141967168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31202071125767417 the lambda is 0.5310082469984896 the regulation term lambda/alpha is 1.7018365378956215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3953205679172981 the lambda is 0.5892524535018134 the regulation term lambda/alpha is 1.4905686709047892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29869472769860705 the lambda is 0.47372261014220823 the regulation term lambda/alpha is 1.5859758014216112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4012161699354443 the lambda is 0.5942294140559123 the regulation term lambda/alpha is 1.4810704517505462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3515002291661748 the lambda is 0.5186471420943782 the regulation term lambda/alpha is 1.4755243355735717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29717862597433353 the lambda is 0.49144550074567867 the regulation term lambda/alpha is 1.653704061435843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27426997087214855 the lambda is 0.5064639400828654 the regulation term lambda/alpha is 1.8465891051519983 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2733541794783138 the lambda is 0.4638795235948981 the regulation term lambda/alpha is 1.6969907849230428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31258728495835414 the lambda is 0.5478053658376987 the regulation term lambda/alpha is 1.7524876800752869 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34862319565920413 the lambda is 0.4925926834810614 the regulation term lambda/alpha is 1.4129658887143997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224031226820195 the lambda is 0.5337385339820928 the regulation term lambda/alpha is 1.6555005098648183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34108732522165985 the lambda is 0.5256631954377706 the regulation term lambda/alpha is 1.5411396336588052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3064562343391775 the lambda is 0.47945579387310616 the regulation term lambda/alpha is 1.5645163653040826 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3117078325222555 the lambda is 0.546147880208873 the regulation term lambda/alpha is 1.752114715211331 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34720037196063785 the lambda is 0.5930015602290841 the regulation term lambda/alpha is 1.707951972748211 680 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3340027791473434 the lambda is 0.4959600326441574 the regulation term lambda/alpha is 1.4848979218384513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32123497247302824 the lambda is 0.524733597021074 the regulation term lambda/alpha is 1.6334883869630106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36171865926182917 the lambda is 0.5153969403679792 the regulation term lambda/alpha is 1.424855829720718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31822328535217803 the lambda is 0.5295452568604786 the regulation term lambda/alpha is 1.6640682226457135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3507025895349377 the lambda is 0.5321805956446418 the regulation term lambda/alpha is 1.5174698206544748 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32479784097751513 the lambda is 0.5335217825351667 the regulation term lambda/alpha is 1.642627244471434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27908183973675244 the lambda is 0.4892475448969934 the regulation term lambda/alpha is 1.7530612001070456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36101456163707435 the lambda is 0.4941738509457932 the regulation term lambda/alpha is 1.3688474190760844 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3850294548519185 the lambda is 0.5884088717551312 the regulation term lambda/alpha is 1.5282178138330536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31396071309825213 the lambda is 0.5174563336943259 the regulation term lambda/alpha is 1.6481563205406244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28814416698344714 the lambda is 0.505944367056417 the regulation term lambda/alpha is 1.7558723202801523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34320581923988347 the lambda is 0.5199046299251765 the regulation term lambda/alpha is 1.5148479448181777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2832723580256897 the lambda is 0.49658712616142137 the regulation term lambda/alpha is 1.7530377112064934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2800483754857717 the lambda is 0.5159593855476449 the regulation term lambda/alpha is 1.842393781619558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3721772968148773 the lambda is 0.5564781049237174 the regulation term lambda/alpha is 1.4951962671718586 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2901962831564392 the lambda is 0.468693261794209 the regulation term lambda/alpha is 1.6150905059715928 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2965265145746988 the lambda is 0.5079542270755715 the regulation term lambda/alpha is 1.7130145268935515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2800081905193236 the lambda is 0.4732482721789189 the regulation term lambda/alpha is 1.690122961407658 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3075699877306861 the lambda is 0.4859683935318482 the regulation term lambda/alpha is 1.580025402079773 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3321914259753724 the lambda is 0.5103715121174304 the regulation term lambda/alpha is 1.5363777394882783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2896093483698981 the lambda is 0.48861610638137437 the regulation term lambda/alpha is 1.6871558502224129 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3141837010849038 the lambda is 0.5051299523860882 the regulation term lambda/alpha is 1.6077535233108218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33509744828813115 the lambda is 0.5254919910057589 the regulation term lambda/alpha is 1.5681766414225822 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24824442267794275 the lambda is 0.4694327168076699 the regulation term lambda/alpha is 1.8910101251969855 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3481718171149465 the lambda is 0.5500109061529116 the regulation term lambda/alpha is 1.5797111630414629 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.311149489210665 the lambda is 0.509397305779673 the regulation term lambda/alpha is 1.6371465274519013 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31349711236497396 the lambda is 0.5681462653745306 the regulation term lambda/alpha is 1.8122854819571468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33595674593397407 the lambda is 0.5178037019402398 the regulation term lambda/alpha is 1.5412808589413005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35871814204679847 the lambda is 0.5397282575708412 the regulation term lambda/alpha is 1.5046026233611236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33468516319954883 the lambda is 0.48135094759259717 the regulation term lambda/alpha is 1.4382201558949956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30187847781835886 the lambda is 0.5634780949729439 the regulation term lambda/alpha is 1.8665725991635291 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29168757846325805 the lambda is 0.4532246395906882 the regulation term lambda/alpha is 1.5538016461944673 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35727587376015335 the lambda is 0.5258820740208798 the regulation term lambda/alpha is 1.471921595170222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3543816076545756 the lambda is 0.5440858173175782 the regulation term lambda/alpha is 1.53531053972731 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31058425407163226 the lambda is 0.4848326547682809 the regulation term lambda/alpha is 1.5610342392195469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29575009414632714 the lambda is 0.4530145359195884 the regulation term lambda/alpha is 1.5317477319058845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2952261651169506 the lambda is 0.5454850629199711 the regulation term lambda/alpha is 1.8476853591343545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3371646970391285 the lambda is 0.4800714596248045 the regulation term lambda/alpha is 1.4238485340862703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29674783063690335 the lambda is 0.48742946796767556 the regulation term lambda/alpha is 1.6425712933486873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2802948875674759 the lambda is 0.45466417223122724 the regulation term lambda/alpha is 1.6220922763772319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301383016563492 the lambda is 0.4687674966578265 the regulation term lambda/alpha is 1.4199124860882715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3334123680936873 the lambda is 0.49029785023786704 the regulation term lambda/alpha is 1.4705448782274797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3167700098353386 the lambda is 0.5399436013389349 the regulation term lambda/alpha is 1.7045287892613479 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31200735237293226 the lambda is 0.5060938496593058 the regulation term lambda/alpha is 1.6220574477180534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32530150765892196 the lambda is 0.5007005864759105 the regulation term lambda/alpha is 1.53918925884873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30622135167639547 the lambda is 0.524851486223244 the regulation term lambda/alpha is 1.7139611047693681 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28347481448800493 the lambda is 0.42702316328686085 the regulation term lambda/alpha is 1.5063883684274537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2926994794111521 the lambda is 0.4870408903244703 the regulation term lambda/alpha is 1.6639622704635177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3162148096448818 the lambda is 0.49570561135257635 the regulation term lambda/alpha is 1.567623008894706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35201153108632255 the lambda is 0.5260927618900418 the regulation term lambda/alpha is 1.4945327508632948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28087171678850753 the lambda is 0.46170483813722085 the regulation term lambda/alpha is 1.6438281626087619 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3034273791092357 the lambda is 0.5346914886142646 the regulation term lambda/alpha is 1.7621728473677798 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2995862455598702 the lambda is 0.45487412090178264 the regulation term lambda/alpha is 1.5183411376303633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3115131855070548 the lambda is 0.5395181682190963 the regulation term lambda/alpha is 1.731927229150555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38919992430548833 the lambda is 0.5191051719157188 the regulation term lambda/alpha is 1.3337751101623188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3715724902351007 the lambda is 0.4503068488565824 the regulation term lambda/alpha is 1.2118950156177197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30730752174028464 the lambda is 0.5158271095771398 the regulation term lambda/alpha is 1.678537208123014 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3158214344059532 the lambda is 0.5228125271964177 the regulation term lambda/alpha is 1.655405460936513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3886909099205281 the lambda is 0.5652841724031072 the regulation term lambda/alpha is 1.4543282540841653 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31943578125048194 the lambda is 0.5092472599088359 the regulation term lambda/alpha is 1.594208569607659 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3251849043985008 the lambda is 0.4487408152825685 the regulation term lambda/alpha is 1.379955862688678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30207659160338635 the lambda is 0.5278774256273302 the regulation term lambda/alpha is 1.7474953051655544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30181496728230256 the lambda is 0.6156678901209854 the regulation term lambda/alpha is 2.0398852173064057 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30381715103452683 the lambda is 0.47041565220667725 the regulation term lambda/alpha is 1.548351205996325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3230359380772824 the lambda is 0.5188299798561588 the regulation term lambda/alpha is 1.6061060665393674 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34510392196700995 the lambda is 0.5025360108818204 the regulation term lambda/alpha is 1.4561874812012716 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3429807413720915 the lambda is 0.5624332656098665 the regulation term lambda/alpha is 1.6398392030988593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.317577291483552 the lambda is 0.5392478580523362 the regulation term lambda/alpha is 1.6980050920305332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3285854160622293 the lambda is 0.4772348893183467 the regulation term lambda/alpha is 1.4523921817271566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891713907620755 the lambda is 0.5063758398543288 the regulation term lambda/alpha is 1.7511270341088645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34613496127373305 the lambda is 0.5931061517707282 the regulation term lambda/alpha is 1.713511254650996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31470517397158243 the lambda is 0.5194485637068418 the regulation term lambda/alpha is 1.6505879364847922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33083369088168807 the lambda is 0.5124596547265783 the regulation term lambda/alpha is 1.548994763383524 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3145549298538788 the lambda is 0.5194382100983354 the regulation term lambda/alpha is 1.6513434087319236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30588819121118527 the lambda is 0.49612331178175134 the regulation term lambda/alpha is 1.6219106393657012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33947845209892913 the lambda is 0.5067505320998468 the regulation term lambda/alpha is 1.492732540067586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3313706197199282 the lambda is 0.5496827911364851 the regulation term lambda/alpha is 1.6588157139612214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30472107272398935 the lambda is 0.5118707330663186 the regulation term lambda/alpha is 1.6798009028078 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30331940193137125 the lambda is 0.47793315321139024 the regulation term lambda/alpha is 1.5756761689762495 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3032224011184323 the lambda is 0.46145744973759695 the regulation term lambda/alpha is 1.5218448506294935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3035149330042758 the lambda is 0.48328269458501155 the regulation term lambda/alpha is 1.5922863820944297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33893281531107183 the lambda is 0.5317610196642627 the regulation term lambda/alpha is 1.568927514959605 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34069413733464654 the lambda is 0.502695159370657 the regulation term lambda/alpha is 1.475502816994133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31292724106423553 the lambda is 0.511922541503973 the regulation term lambda/alpha is 1.6359155558428646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2699639140940394 the lambda is 0.4886526659701226 the regulation term lambda/alpha is 1.810066606901784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202190901410374 the lambda is 0.4956384267577959 the regulation term lambda/alpha is 1.5478103648957868 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31793247411366776 the lambda is 0.4757056131895978 the regulation term lambda/alpha is 1.4962473226925626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3372827407314146 the lambda is 0.518290884316693 the regulation term lambda/alpha is 1.5366658939996547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105961597276163 the lambda is 0.4857575234523528 the regulation term lambda/alpha is 1.5639521231632352 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32054537424153917 the lambda is 0.4609783531210151 the regulation term lambda/alpha is 1.4381063966739887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32421266500937107 the lambda is 0.49366542213691644 the regulation term lambda/alpha is 1.5226592771218468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37187038725068156 the lambda is 0.5355963555219883 the regulation term lambda/alpha is 1.440276972527359 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3692430101011877 the lambda is 0.5227631519362771 the regulation term lambda/alpha is 1.4157699337166019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35003464253848543 the lambda is 0.5645657449836361 the regulation term lambda/alpha is 1.6128853444029143 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31469794668321993 the lambda is 0.49453251283362404 the regulation term lambda/alpha is 1.5714513489706003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27366174393014664 the lambda is 0.5215210148631924 the regulation term lambda/alpha is 1.9057139933900038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32477572318786624 the lambda is 0.5122355713472804 the regulation term lambda/alpha is 1.5771978469307515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35471811231046624 the lambda is 0.4859764239852907 the regulation term lambda/alpha is 1.3700355496928809 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30082757044072606 the lambda is 0.5040426746579123 the regulation term lambda/alpha is 1.6755202121915451 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3811938647700425 the lambda is 0.4823610559159708 the regulation term lambda/alpha is 1.265395643780778 690 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31825842722935627 the lambda is 0.5024950283318483 the regulation term lambda/alpha is 1.5788899376723182 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33560430032158495 the lambda is 0.5188965292021941 the regulation term lambda/alpha is 1.5461557813918763 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28527031718347223 the lambda is 0.529860669564382 the regulation term lambda/alpha is 1.8573985362227539 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3195681042167514 the lambda is 0.4915760242176667 the regulation term lambda/alpha is 1.5382512138453235 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34597438028149335 the lambda is 0.4832163000740333 the regulation term lambda/alpha is 1.3966823198899194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32314238429272196 the lambda is 0.5181351138190343 the regulation term lambda/alpha is 1.6034266595918787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3170540750203884 the lambda is 0.4893915794361037 the regulation term lambda/alpha is 1.5435587112533815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31673694873076563 the lambda is 0.4863516421533791 the regulation term lambda/alpha is 1.5355064955392692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32405523366990663 the lambda is 0.47285483042236937 the regulation term lambda/alpha is 1.4591797363286374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30441855975431553 the lambda is 0.45894713585578745 the regulation term lambda/alpha is 1.507618774053021 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31604358720339604 the lambda is 0.5935442773240354 the regulation term lambda/alpha is 1.8780456283773552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30243784918172356 the lambda is 0.5127654245527141 the regulation term lambda/alpha is 1.695440653145938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27727681424588824 the lambda is 0.4684846659858171 the regulation term lambda/alpha is 1.6895919237241608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32295680038254626 the lambda is 0.4632537343806647 the regulation term lambda/alpha is 1.4344139334794468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33881354833058114 the lambda is 0.4540602733887326 the regulation term lambda/alpha is 1.3401479239127267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.350212750604326 the lambda is 0.5593133357689539 the regulation term lambda/alpha is 1.5970673106670292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29295296338089455 the lambda is 0.4987120352218774 the regulation term lambda/alpha is 1.702362145329989 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35930703057860963 the lambda is 0.5427913732045666 the regulation term lambda/alpha is 1.5106617099322637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3117018937051459 the lambda is 0.5025955438635465 the regulation term lambda/alpha is 1.6124237741685854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3487883609322019 the lambda is 0.5396523652872187 the regulation term lambda/alpha is 1.5472201074740488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3142657587769528 the lambda is 0.4603414231253094 the regulation term lambda/alpha is 1.4648157181261114 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3383313127634234 the lambda is 0.5623858411309293 the regulation term lambda/alpha is 1.6622340880525446 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3063856267184522 the lambda is 0.4927537748535859 the regulation term lambda/alpha is 1.608279670724872 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945529829419509 the lambda is 0.5076772999572072 the regulation term lambda/alpha is 1.7235517185621503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3501745831499356 the lambda is 0.5222528753874681 the regulation term lambda/alpha is 1.491407145229193 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33556953269926704 the lambda is 0.5022833534960917 the regulation term lambda/alpha is 1.4968085733403913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29439865985723473 the lambda is 0.4864939698395531 the regulation term lambda/alpha is 1.6525006264480715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3188602699946611 the lambda is 0.533337566470282 the regulation term lambda/alpha is 1.672637254177863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159452651762174 the lambda is 0.46879063853004677 the regulation term lambda/alpha is 1.4837716851638223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31663166045608054 the lambda is 0.516279412082425 the regulation term lambda/alpha is 1.6305362873023157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.320326493776543 the lambda is 0.4757310523735994 the regulation term lambda/alpha is 1.4851442563020258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3463237749005373 the lambda is 0.5313436600336288 the regulation term lambda/alpha is 1.5342396293359541 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30571045231202 the lambda is 0.5694220871603676 the regulation term lambda/alpha is 1.8626189678957827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023718988405889 the lambda is 0.5150953273799126 the regulation term lambda/alpha is 1.7035158669009514 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30181141731838873 the lambda is 0.524614580383167 the regulation term lambda/alpha is 1.7382197964689234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29619216726453856 the lambda is 0.45129642195242176 the regulation term lambda/alpha is 1.5236608925898931 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29968924299815963 the lambda is 0.5410438442007445 the regulation term lambda/alpha is 1.8053495640618205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37270690171870824 the lambda is 0.4867497426371917 the regulation term lambda/alpha is 1.3059853208850813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34362476960216287 the lambda is 0.4901665193560992 the regulation term lambda/alpha is 1.4264586337114096 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.272271500787931 the lambda is 0.49621502837466047 the regulation term lambda/alpha is 1.8225008013642838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.381265107223064 the lambda is 0.5150258274325883 the regulation term lambda/alpha is 1.3508338887441538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29338402233168326 the lambda is 0.5160854612896735 the regulation term lambda/alpha is 1.7590782796829223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2934876070542251 the lambda is 0.521593087886626 the regulation term lambda/alpha is 1.777223553396092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2902823509716928 the lambda is 0.5017763405804673 the regulation term lambda/alpha is 1.728580256087972 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3102925165834368 the lambda is 0.5359559366801196 the regulation term lambda/alpha is 1.7272602722792463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33466425683269696 the lambda is 0.4937614125535212 the regulation term lambda/alpha is 1.4753933306966778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3317221765789339 the lambda is 0.5313514659716877 the regulation term lambda/alpha is 1.6017966343147145 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3311576054811404 the lambda is 0.5697127902203387 the regulation term lambda/alpha is 1.7203675252833175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3048403189610714 the lambda is 0.500845044268941 the regulation term lambda/alpha is 1.6429750696229255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2937115519447838 the lambda is 0.51384745045436 the regulation term lambda/alpha is 1.7494969028353387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29928817981258915 the lambda is 0.47806012533609477 the regulation term lambda/alpha is 1.5973237754843863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3346449818463066 the lambda is 0.4999879929791695 the regulation term lambda/alpha is 1.4940848364754518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32344244026896773 the lambda is 0.48890161036534985 the regulation term lambda/alpha is 1.51155677022097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2906395004299535 the lambda is 0.5055833269228026 the regulation term lambda/alpha is 1.7395547617404892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32911390245762234 the lambda is 0.5219399675704173 the regulation term lambda/alpha is 1.5858946208983795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32998855270908944 the lambda is 0.5640083332320671 the regulation term lambda/alpha is 1.7091754504868668 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058971469979449 the lambda is 0.5438431303023473 the regulation term lambda/alpha is 1.777862708559361 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34920847218459294 the lambda is 0.5383890616606791 the regulation term lambda/alpha is 1.5417411218364845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3334753449533145 the lambda is 0.5844036571520661 the regulation term lambda/alpha is 1.7524643605477963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27185339757752025 the lambda is 0.5289256150431629 the regulation term lambda/alpha is 1.9456281207312753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34374163635093247 the lambda is 0.5389176310031997 the regulation term lambda/alpha is 1.5677985266033012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3442211378054124 the lambda is 0.5389346048034986 the regulation term lambda/alpha is 1.5656638875796098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3218330164949529 the lambda is 0.49861691985082685 the regulation term lambda/alpha is 1.5493031923237943 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2949183510854492 the lambda is 0.5111215252977037 the regulation term lambda/alpha is 1.7330950190671996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27997844752140055 the lambda is 0.493245844261064 the regulation term lambda/alpha is 1.7617279066573939 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133235610117484 the lambda is 0.5178028091706046 the regulation term lambda/alpha is 1.6526136990738116 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3509562410201686 the lambda is 0.5467392947956353 the regulation term lambda/alpha is 1.557856025601253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28427377000749915 the lambda is 0.5095767084980011 the regulation term lambda/alpha is 1.7925561985003344 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34275683076703173 the lambda is 0.5457867023607856 the regulation term lambda/alpha is 1.5923437649350634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066289595683932 the lambda is 0.5031906396221637 the regulation term lambda/alpha is 1.641040821227219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3212495285416682 the lambda is 0.4776350839852301 the regulation term lambda/alpha is 1.4868039998486025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33846342135845875 the lambda is 0.5597699488366379 the regulation term lambda/alpha is 1.653856557349512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3615676131485387 the lambda is 0.49775101149103335 the regulation term lambda/alpha is 1.3766471149243888 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.327293255787607 the lambda is 0.5147553831884527 the regulation term lambda/alpha is 1.5727650175672945 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32387190742945293 the lambda is 0.5628040443827741 the regulation term lambda/alpha is 1.7377365293881388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31729328149445735 the lambda is 0.5467781375247023 the regulation term lambda/alpha is 1.7232578482259913 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.308593807673884 the lambda is 0.516554185275083 the regulation term lambda/alpha is 1.6738967938752922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.343981226882858 the lambda is 0.5031492084699675 the regulation term lambda/alpha is 1.462722873075029 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30642788987882724 the lambda is 0.4924171836059616 the regulation term lambda/alpha is 1.6069594180891345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31851019542292863 the lambda is 0.5005223310218606 the regulation term lambda/alpha is 1.5714483812904327 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2927454005739563 the lambda is 0.5218224825553494 the regulation term lambda/alpha is 1.7825130011684718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31589604449303493 the lambda is 0.5415163038732109 the regulation term lambda/alpha is 1.7142231228069416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32633266780897796 the lambda is 0.5141288439669515 the regulation term lambda/alpha is 1.5754746449960133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29637213564985065 the lambda is 0.46214239646247046 the regulation term lambda/alpha is 1.559331464981139 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31301447716604974 the lambda is 0.5582804691802699 the regulation term lambda/alpha is 1.7835611765781363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32479491821856493 the lambda is 0.5427384797149227 the regulation term lambda/alpha is 1.6710190008259198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30908944207982364 the lambda is 0.477056651971315 the regulation term lambda/alpha is 1.5434259053342663 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2860798393186844 the lambda is 0.4875330146320418 the regulation term lambda/alpha is 1.7041851526242804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3001743339641492 the lambda is 0.5153853460134923 the regulation term lambda/alpha is 1.7169534090647685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3613621504331293 the lambda is 0.49968857450975296 the regulation term lambda/alpha is 1.3827916784057914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30715079612075985 the lambda is 0.4890331410009318 the regulation term lambda/alpha is 1.5921597703059926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3140703701024155 the lambda is 0.47115222919714445 the regulation term lambda/alpha is 1.5001486101458916 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2953392830154753 the lambda is 0.47828342948587915 the regulation term lambda/alpha is 1.6194372269157906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3386054251034762 the lambda is 0.49865954170208976 the regulation term lambda/alpha is 1.472686214491991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3205812341594206 the lambda is 0.4670419048874544 the regulation term lambda/alpha is 1.4568597756885575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32878840560122474 the lambda is 0.5416806461189443 the regulation term lambda/alpha is 1.6475053161574336 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28951269304770855 the lambda is 0.48966196984002497 the regulation term lambda/alpha is 1.6913316120455346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3858961160119074 the lambda is 0.5533349921273727 the regulation term lambda/alpha is 1.433896246082712 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33209232539822026 the lambda is 0.5321742617327505 the regulation term lambda/alpha is 1.6024888894815832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34073073196435666 the lambda is 0.5775291452897331 the regulation term lambda/alpha is 1.6949722790198671 700 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33153752414551513 the lambda is 0.4667612985763029 the regulation term lambda/alpha is 1.40786868629518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32510302541872915 the lambda is 0.5152495103745872 the regulation term lambda/alpha is 1.5848806996211477 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3181749920617998 the lambda is 0.5637159583390421 the regulation term lambda/alpha is 1.7717167357689456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37214642347799104 the lambda is 0.5175743023743661 the regulation term lambda/alpha is 1.3907813422932862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29182807329400123 the lambda is 0.45355019770809635 the regulation term lambda/alpha is 1.554169181150604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28295321064566276 the lambda is 0.5415630283296061 the regulation term lambda/alpha is 1.913966719422724 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2950801346247264 the lambda is 0.5391388033979542 the regulation term lambda/alpha is 1.827092847451808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33545272648401225 the lambda is 0.507507662901024 the regulation term lambda/alpha is 1.5129036756397087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30987829332190503 the lambda is 0.5322469126626418 the regulation term lambda/alpha is 1.717599858179604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37709511451897565 the lambda is 0.5662530673647295 the regulation term lambda/alpha is 1.5016186780543275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33776851419286796 the lambda is 0.48126344030815765 the regulation term lambda/alpha is 1.4248321560053794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30026435965880666 the lambda is 0.47934875451695846 the regulation term lambda/alpha is 1.5964224161057514 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3271906531258947 the lambda is 0.4913223835638375 the regulation term lambda/alpha is 1.5016394229782264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35369095284514274 the lambda is 0.49382913061123834 the regulation term lambda/alpha is 1.3962164614016932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2755530025685685 the lambda is 0.47990084891344703 the regulation term lambda/alpha is 1.7415917970047474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33002381536797243 the lambda is 0.47575053209612966 the regulation term lambda/alpha is 1.441564244585421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3003589269153037 the lambda is 0.4829889430589266 the regulation term lambda/alpha is 1.6080392483061494 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32561993364806435 the lambda is 0.510981023934979 the regulation term lambda/alpha is 1.5692559672567716 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.280216795981114 the lambda is 0.46330922234074684 the regulation term lambda/alpha is 1.653395617199095 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34325892147588 the lambda is 0.5805129302597046 the regulation term lambda/alpha is 1.6911808956449685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2888311441182373 the lambda is 0.536431115310057 the regulation term lambda/alpha is 1.8572481750460437 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.325828468939826 the lambda is 0.5032306592843879 the regulation term lambda/alpha is 1.5444649785262459 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193953583800619 the lambda is 0.5486967929057672 the regulation term lambda/alpha is 1.7179235029860702 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27092852212063195 the lambda is 0.4910579757801802 the regulation term lambda/alpha is 1.8125001086505568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3288386169851658 the lambda is 0.48033283544722744 the regulation term lambda/alpha is 1.4606947318139818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3175235112935249 the lambda is 0.5244401499975839 the regulation term lambda/alpha is 1.6516576925630595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3468308005118315 the lambda is 0.5393549083539 the regulation term lambda/alpha is 1.555095186350097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29468204765987654 the lambda is 0.5429641993199225 the regulation term lambda/alpha is 1.8425425085501455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29741832181468597 the lambda is 0.4791662519289014 the regulation term lambda/alpha is 1.611085184682933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35923950766309265 the lambda is 0.5599558146293173 the regulation term lambda/alpha is 1.5587255930504822 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3017541481526655 the lambda is 0.490457671119217 the regulation term lambda/alpha is 1.6253551910447355 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3145803927373537 the lambda is 0.5517978126361751 the regulation term lambda/alpha is 1.7540756683360001 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30007274336768563 the lambda is 0.5270800062697514 the regulation term lambda/alpha is 1.756507440010667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2991753706226549 the lambda is 0.5011039621675534 the regulation term lambda/alpha is 1.6749505854196391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31931982172755824 the lambda is 0.47068257628264115 the regulation term lambda/alpha is 1.4740161563920222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31590704272969955 the lambda is 0.5349811562713865 the regulation term lambda/alpha is 1.6934765102059912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2723430582014253 the lambda is 0.4953816421390022 the regulation term lambda/alpha is 1.8189618836277344 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2934551745446177 the lambda is 0.5292733942312446 the regulation term lambda/alpha is 1.8035919627335537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3270641354447318 the lambda is 0.5493456617328759 the regulation term lambda/alpha is 1.6796267220980756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33207957393571 the lambda is 0.5892397504249569 the regulation term lambda/alpha is 1.774393237866032 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3192705027347356 the lambda is 0.5411558927895713 the regulation term lambda/alpha is 1.6949761664615417 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058962992403323 the lambda is 0.4656145790405442 the regulation term lambda/alpha is 1.5221321088122308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.284707288193143 the lambda is 0.4827876028536224 the regulation term lambda/alpha is 1.6957332069634388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3127756414657304 the lambda is 0.5063102594214555 the regulation term lambda/alpha is 1.6187649941305609 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.315432222208971 the lambda is 0.5489106532096483 the regulation term lambda/alpha is 1.740185734246262 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282979618148328 the lambda is 0.48159696058257906 the regulation term lambda/alpha is 1.4669508087114176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3249352367026299 the lambda is 0.5185699761040772 the regulation term lambda/alpha is 1.595917947731398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3251582027498711 the lambda is 0.5234851110413693 the regulation term lambda/alpha is 1.6099397358401004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34114209230624637 the lambda is 0.5352833566759947 the regulation term lambda/alpha is 1.5690920843490224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32401522082739675 the lambda is 0.5398129769198908 the regulation term lambda/alpha is 1.6660111692945738 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3123135044223636 the lambda is 0.5353152640567893 the regulation term lambda/alpha is 1.714031754876807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3069209112437901 the lambda is 0.5578515508563482 the regulation term lambda/alpha is 1.8175742688748944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.377191506926144 the lambda is 0.5663560720839179 the regulation term lambda/alpha is 1.5015080182990792 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37968214690712254 the lambda is 0.529466498354049 the regulation term lambda/alpha is 1.3944993270478072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29803717142900266 the lambda is 0.4938499006757957 the regulation term lambda/alpha is 1.6570077427185583 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39446660722788757 the lambda is 0.5925382681258209 the regulation term lambda/alpha is 1.5021252934180693 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2663682678933463 the lambda is 0.45929104761461187 the regulation term lambda/alpha is 1.724270879737491 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3116195376871113 the lambda is 0.5612721306321847 the regulation term lambda/alpha is 1.801145508391527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3134996241350047 the lambda is 0.5463280201587949 the regulation term lambda/alpha is 1.7426751999023946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3549191116591709 the lambda is 0.47744990432848883 the regulation term lambda/alpha is 1.345235825978806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336098855149644 the lambda is 0.5534578883280903 the regulation term lambda/alpha is 1.6467116143007086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31591457028068287 the lambda is 0.5131702320025628 the regulation term lambda/alpha is 1.6243955812060926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30305618761874337 the lambda is 0.5054478326651743 the regulation term lambda/alpha is 1.6678353827279304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32523761373362803 the lambda is 0.4752952682808612 the regulation term lambda/alpha is 1.461378537447183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215861054299208 the lambda is 0.5468401841890079 the regulation term lambda/alpha is 1.7004471740405276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2909388526225377 the lambda is 0.4691826230203394 the regulation term lambda/alpha is 1.6126502830099976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2810365689919702 the lambda is 0.47051426047648653 the regulation term lambda/alpha is 1.6742100935979263 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33327578720375445 the lambda is 0.5809934757538833 the regulation term lambda/alpha is 1.7432813845509934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2955510968508362 the lambda is 0.5075096777414251 the regulation term lambda/alpha is 1.7171639122610456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30442882332874466 the lambda is 0.514178308521191 the regulation term lambda/alpha is 1.6889935154594193 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32306307153172503 the lambda is 0.5662654878079373 the regulation term lambda/alpha is 1.7528016592027282 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3354931546455638 the lambda is 0.50656044531617 the regulation term lambda/alpha is 1.509898006268809 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2866558127406053 the lambda is 0.4853929499116858 the regulation term lambda/alpha is 1.6932953330722011 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27827272826248184 the lambda is 0.5043795563974608 the regulation term lambda/alpha is 1.8125367855728314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3578836468408598 the lambda is 0.501257277935024 the regulation term lambda/alpha is 1.4006152065336421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31165086502505335 the lambda is 0.5095225261599838 the regulation term lambda/alpha is 1.6349145256472295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2913459992185825 the lambda is 0.4614964100319474 the regulation term lambda/alpha is 1.5840149213297054 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2802606757786275 the lambda is 0.5233116252331109 the regulation term lambda/alpha is 1.8672317255327846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37828960205118695 the lambda is 0.6237916507600942 the regulation term lambda/alpha is 1.6489791085394094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30117255055544545 the lambda is 0.5079195931931766 the regulation term lambda/alpha is 1.6864737249674062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3506756838928234 the lambda is 0.5231004190701221 the regulation term lambda/alpha is 1.4916928749185718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29641404245243863 the lambda is 0.5194671937324621 the regulation term lambda/alpha is 1.7525053450050823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3359794811121587 the lambda is 0.5096063229979241 the regulation term lambda/alpha is 1.5167781118984591 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105152378993148 the lambda is 0.48835293701089405 the regulation term lambda/alpha is 1.5727181065724172 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3117446208849136 the lambda is 0.5124894903434277 the regulation term lambda/alpha is 1.643940122811687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3136506755645187 the lambda is 0.46507529327046054 the regulation term lambda/alpha is 1.4827810985371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161165264408454 the lambda is 0.5063697775865925 the regulation term lambda/alpha is 1.6018453172562903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30824206502443036 the lambda is 0.5354038463529962 the regulation term lambda/alpha is 1.7369590562227828 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32260587280618747 the lambda is 0.5262456333384696 the regulation term lambda/alpha is 1.6312338915622382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33825174799039787 the lambda is 0.4585271414288031 the regulation term lambda/alpha is 1.3555795177792238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2689387314005011 the lambda is 0.48171883735206783 the regulation term lambda/alpha is 1.791184314893999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31554715659996024 the lambda is 0.48802398042692086 the regulation term lambda/alpha is 1.5465960323820023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2970718138635364 the lambda is 0.52726878436842 the regulation term lambda/alpha is 1.7748866091033035 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2828430381014839 the lambda is 0.46545254552061716 the regulation term lambda/alpha is 1.6456213617448594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3316643486160334 the lambda is 0.5679634387437943 the regulation term lambda/alpha is 1.7124645477085132 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3077255485980775 the lambda is 0.5132449286173252 the regulation term lambda/alpha is 1.6678658335505252 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33505116105749805 the lambda is 0.5631843056030381 the regulation term lambda/alpha is 1.680890476026108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2898384661487374 the lambda is 0.5491983837202482 the regulation term lambda/alpha is 1.8948429827751512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206574262680767 the lambda is 0.537150055936303 the regulation term lambda/alpha is 1.6751523960877603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3309747257852713 the lambda is 0.5595244193667932 the regulation term lambda/alpha is 1.6905351852449289 710 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29635754370455086 the lambda is 0.5143305490473324 the regulation term lambda/alpha is 1.735506856407497 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3257642636619978 the lambda is 0.5170220937627026 the regulation term lambda/alpha is 1.5871050063955068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28544153164865094 the lambda is 0.49824116389316875 the regulation term lambda/alpha is 1.7455104063358664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29906348639498037 the lambda is 0.47627791898142324 the regulation term lambda/alpha is 1.5925645912934736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3102508412699312 the lambda is 0.4977152724591577 the regulation term lambda/alpha is 1.6042350454937997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32011808942586634 the lambda is 0.498691331068763 the regulation term lambda/alpha is 1.5578355223947788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2638993525261629 the lambda is 0.47661168570783496 the regulation term lambda/alpha is 1.8060358282257771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3557058762316378 the lambda is 0.5397184298822334 the regulation term lambda/alpha is 1.5173165976340675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3829564301521522 the lambda is 0.5599179938246667 the regulation term lambda/alpha is 1.4620932036634193 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28541901457611357 the lambda is 0.5352714199856518 the regulation term lambda/alpha is 1.8753880878630433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32777011763274333 the lambda is 0.5285580434631465 the regulation term lambda/alpha is 1.6125876491748405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32719572585200035 the lambda is 0.49969610937064585 the regulation term lambda/alpha is 1.5272085479401163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31317215097917095 the lambda is 0.5137364371648604 the regulation term lambda/alpha is 1.6404282295172183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2987665523399849 the lambda is 0.45741156948086314 the regulation term lambda/alpha is 1.530999925856313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197736280764736 the lambda is 0.5156865768486979 the regulation term lambda/alpha is 1.6126613690775398 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2876509997408653 the lambda is 0.5121437181062299 the regulation term lambda/alpha is 1.7804343408074448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.24855257504658512 the lambda is 0.4981610364037905 the regulation term lambda/alpha is 2.0042481407019115 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491083595073468 the lambda is 0.5657890660158302 the regulation term lambda/alpha is 1.6206689144145903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419697629758014 the lambda is 0.5389666168358607 the regulation term lambda/alpha is 1.5760651238454648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3431571371894002 the lambda is 0.5420741106953312 the regulation term lambda/alpha is 1.5796673067479923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29107273135143 the lambda is 0.4837199687457926 the regulation term lambda/alpha is 1.6618525771889217 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3327960734655427 the lambda is 0.5106080977666705 the regulation term lambda/alpha is 1.5342972423006616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31146428073038485 the lambda is 0.5576280640873167 the regulation term lambda/alpha is 1.7903435436631028 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3617057071235954 the lambda is 0.4866365561652905 the regulation term lambda/alpha is 1.3453936351604374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30213387503002415 the lambda is 0.4917876868358828 the regulation term lambda/alpha is 1.627714491753075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3411687156756065 the lambda is 0.5272528493592025 the regulation term lambda/alpha is 1.5454314101311983 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28465617747231053 the lambda is 0.5058118776168833 the regulation term lambda/alpha is 1.7769221877016363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31963081524397896 the lambda is 0.5018280042302992 the regulation term lambda/alpha is 1.5700238534486932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517194160310213 the lambda is 0.5691105080607721 the regulation term lambda/alpha is 1.6180810103772523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3292008568244198 the lambda is 0.5134303814432468 the regulation term lambda/alpha is 1.5596265040011312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3531416084235519 the lambda is 0.5172377344781205 the regulation term lambda/alpha is 1.4646751392086161 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989179268792528 the lambda is 0.5321810448611548 the regulation term lambda/alpha is 1.7803584094711327 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2885061729369022 the lambda is 0.49740925198750696 the regulation term lambda/alpha is 1.724085300928008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34137229664781094 the lambda is 0.5481098464719841 the regulation term lambda/alpha is 1.605607285225788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33070975597884616 the lambda is 0.5226243891167855 the regulation term lambda/alpha is 1.5803113747579167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3298486203658343 the lambda is 0.45219902707033693 the regulation term lambda/alpha is 1.3709289630158348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38012235651203735 the lambda is 0.4834506160504631 the regulation term lambda/alpha is 1.271828946043992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3503839303615889 the lambda is 0.512735253601163 the regulation term lambda/alpha is 1.4633526516813455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4075911521140789 the lambda is 0.4989632505577183 the regulation term lambda/alpha is 1.2241758634104638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3631199868300312 the lambda is 0.5494484347483234 the regulation term lambda/alpha is 1.513131897654283 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36183929964121875 the lambda is 0.5850172282018719 the regulation term lambda/alpha is 1.6167874213274922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2944764629148089 the lambda is 0.5203275358363453 the regulation term lambda/alpha is 1.7669579792082548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2920752152663255 the lambda is 0.4801631319096435 the regulation term lambda/alpha is 1.643970822624618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.337923205622938 the lambda is 0.5219024830939087 the regulation term lambda/alpha is 1.5444410872340588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3033533538751649 the lambda is 0.45200532462538784 the regulation term lambda/alpha is 1.490029099237834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3305688960334872 the lambda is 0.4676510978087061 the regulation term lambda/alpha is 1.4146857233698487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29550827839340277 the lambda is 0.5054438670357831 the regulation term lambda/alpha is 1.7104220219607464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27406724175067043 the lambda is 0.469369901461942 the regulation term lambda/alpha is 1.7126085498716623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31399519112597757 the lambda is 0.5002193990591544 the regulation term lambda/alpha is 1.5930798088511555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3166164926780584 the lambda is 0.5127256482092577 the regulation term lambda/alpha is 1.619390208868894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33575800845504805 the lambda is 0.502343001265526 the regulation term lambda/alpha is 1.4961459998437556 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30549321349623515 the lambda is 0.571475834750288 the regulation term lambda/alpha is 1.8706662194226804 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32611254386483185 the lambda is 0.4992903354027623 the regulation term lambda/alpha is 1.5310368913920396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300699455028499 the lambda is 0.5076079154306591 the regulation term lambda/alpha is 1.5378798413691872 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32268211354460813 the lambda is 0.513574360175379 the regulation term lambda/alpha is 1.5915798819273002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33958178396249317 the lambda is 0.528110931948883 the regulation term lambda/alpha is 1.5551803921473388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26973581208018177 the lambda is 0.5303776663695363 the regulation term lambda/alpha is 1.966285686276897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34968962469450177 the lambda is 0.5188492770783084 the regulation term lambda/alpha is 1.4837422686806594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32109882552332414 the lambda is 0.4818980268594177 the regulation term lambda/alpha is 1.5007779180569234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.330518794816016 the lambda is 0.512704849096118 the regulation term lambda/alpha is 1.5512123883348792 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2887866388973527 the lambda is 0.45425929711546087 the regulation term lambda/alpha is 1.5729927771240289 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3443871704859491 the lambda is 0.5278793560253466 the regulation term lambda/alpha is 1.5328078432204082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29766169221833205 the lambda is 0.5185076737545733 the regulation term lambda/alpha is 1.7419361890016158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30848242913134666 the lambda is 0.48271898271483615 the regulation term lambda/alpha is 1.5648184049708143 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29973164212034314 the lambda is 0.4670834618652402 the regulation term lambda/alpha is 1.5583388479141778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3107125319789997 the lambda is 0.49745621925495703 the regulation term lambda/alpha is 1.6010175582122286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.40017749191572793 the lambda is 0.5884410349097526 the regulation term lambda/alpha is 1.4704501047591914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161886813659303 the lambda is 0.50220139116065 the regulation term lambda/alpha is 1.5882965480963696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26691057696241305 the lambda is 0.42950778636601167 the regulation term lambda/alpha is 1.6091823383473332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28905256892822073 the lambda is 0.5448322033318058 the regulation term lambda/alpha is 1.8848896771683832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32696472464207504 the lambda is 0.5003832003244565 the regulation term lambda/alpha is 1.5303889460008901 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29583610530000726 the lambda is 0.5178566376406535 the regulation term lambda/alpha is 1.7504849082416607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31539131964622896 the lambda is 0.5585248990334016 the regulation term lambda/alpha is 1.77089496204237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30884876966531344 the lambda is 0.549116291241577 the regulation term lambda/alpha is 1.7779455357281542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30004352150689995 the lambda is 0.5146942996438844 the regulation term lambda/alpha is 1.715398809675843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33221013950584594 the lambda is 0.5577662865874341 the regulation term lambda/alpha is 1.6789562396171807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29831349084725345 the lambda is 0.494674360195978 the regulation term lambda/alpha is 1.6582366382124767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35935846391841264 the lambda is 0.4990759224453363 the regulation term lambda/alpha is 1.3887969049162134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090945952011308 the lambda is 0.5009475459703933 the regulation term lambda/alpha is 1.6206933209052778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2978899097323038 the lambda is 0.48500166176371823 the regulation term lambda/alpha is 1.6281238333972468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33984497216906107 the lambda is 0.5917682362946142 the regulation term lambda/alpha is 1.7412887779908952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35749601379854273 the lambda is 0.5662576493785485 the regulation term lambda/alpha is 1.5839551422177474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2902971956330281 the lambda is 0.4819584843787904 the regulation term lambda/alpha is 1.6602243894496527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100455298430428 the lambda is 0.5330689507550842 the regulation term lambda/alpha is 1.7193247424819982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28768544789233724 the lambda is 0.4845311265653831 the regulation term lambda/alpha is 1.6842392624138325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3115968953289363 the lambda is 0.48390308128703813 the regulation term lambda/alpha is 1.552977865123487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156441762516912 the lambda is 0.52947241915642 the regulation term lambda/alpha is 1.6774344625773308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156944087167855 the lambda is 0.5073752026484624 the regulation term lambda/alpha is 1.6071719632628552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3459786916304811 the lambda is 0.5323264760261667 the regulation term lambda/alpha is 1.5386105818178892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26450447818702183 the lambda is 0.5169610554507148 the regulation term lambda/alpha is 1.9544510512415212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4304026268103243 the lambda is 0.4947394308615723 the regulation term lambda/alpha is 1.1494805097451248 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2912245752339753 the lambda is 0.5412196394563571 the regulation term lambda/alpha is 1.8584270885159022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190564028113871 the lambda is 0.49779889058195603 the regulation term lambda/alpha is 1.5602222246460733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28884855594308845 the lambda is 0.49270701020111485 the regulation term lambda/alpha is 1.7057624144681285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3573750961259403 the lambda is 0.5155689389943495 the regulation term lambda/alpha is 1.4426549151949333 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3221119486785364 the lambda is 0.5305662207029099 the regulation term lambda/alpha is 1.6471485236097474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2671800091265729 the lambda is 0.5021052593811666 the regulation term lambda/alpha is 1.8792770500404503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34885212178948943 the lambda is 0.5117176021681423 the regulation term lambda/alpha is 1.4668610858469484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30270470301010016 the lambda is 0.47546124090873504 the regulation term lambda/alpha is 1.5707097913601646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27771040249320167 the lambda is 0.4631495391411606 the regulation term lambda/alpha is 1.6677428536458891 720 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3195858901736014 the lambda is 0.5402524446811298 the regulation term lambda/alpha is 1.690476523815431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34375654854452387 the lambda is 0.500774190354399 the regulation term lambda/alpha is 1.4567698927473318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3168457280989813 the lambda is 0.4868569675867392 the regulation term lambda/alpha is 1.5365741886683952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3164611260005074 the lambda is 0.5164665079630651 the regulation term lambda/alpha is 1.6320061629378044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.288881924311754 the lambda is 0.5184392811787226 the regulation term lambda/alpha is 1.794640777244464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3117870625824942 the lambda is 0.5186470493342222 the regulation term lambda/alpha is 1.6634655878224451 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29593244430347543 the lambda is 0.5819372319935059 the regulation term lambda/alpha is 1.9664529631524137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30599866451981 the lambda is 0.562859986356677 the regulation term lambda/alpha is 1.8394197479258543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32555203757734374 the lambda is 0.4497137597200627 the regulation term lambda/alpha is 1.3813882507592077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3033507596783703 the lambda is 0.47077095050665463 the regulation term lambda/alpha is 1.5519029884935602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3612869485393868 the lambda is 0.5322826442999307 the regulation term lambda/alpha is 1.4732960779564452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2826313692579701 the lambda is 0.4633500046821888 the regulation term lambda/alpha is 1.6394146406985306 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3406919376794458 the lambda is 0.5021067990741336 the regulation term lambda/alpha is 1.473785386569851 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3184988467477106 the lambda is 0.5262418514311312 the regulation term lambda/alpha is 1.6522566935634089 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2745886694746522 the lambda is 0.5054755377547827 the regulation term lambda/alpha is 1.8408463055735957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3050683340741124 the lambda is 0.5361373122532717 the regulation term lambda/alpha is 1.7574335070877074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33501026848505794 the lambda is 0.4907465613334829 the regulation term lambda/alpha is 1.4648702069720918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2974919082635656 the lambda is 0.43730840304449514 the regulation term lambda/alpha is 1.469984194182041 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217817517020602 the lambda is 0.4672545741733082 the regulation term lambda/alpha is 1.4520853706021908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2935608433354415 the lambda is 0.4966590761846123 the regulation term lambda/alpha is 1.6918437436735991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3272757364890743 the lambda is 0.5456276312006904 the regulation term lambda/alpha is 1.667180210345063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31362035546252515 the lambda is 0.5026718787187203 the regulation term lambda/alpha is 1.6028037401379234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37587432893416295 the lambda is 0.5399622316376789 the regulation term lambda/alpha is 1.4365499053069333 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28772667606089275 the lambda is 0.5096679790316446 the regulation term lambda/alpha is 1.7713615783187984 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2831140491332958 the lambda is 0.49102051126061247 the regulation term lambda/alpha is 1.7343558638781296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2968483184612256 the lambda is 0.5457335399790778 the regulation term lambda/alpha is 1.8384255730603427 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2963564206816726 the lambda is 0.48416434152140614 the regulation term lambda/alpha is 1.6337231378613017 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33621410143152397 the lambda is 0.5061817590329302 the regulation term lambda/alpha is 1.5055339941951338 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27336286416267513 the lambda is 0.5024102390259243 the regulation term lambda/alpha is 1.8378876756535067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30110123475387424 the lambda is 0.4537883563094166 the regulation term lambda/alpha is 1.5070956340659036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2964494471038506 the lambda is 0.479234560072842 the regulation term lambda/alpha is 1.6165810554032136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3493954056604166 the lambda is 0.49107245344135 the regulation term lambda/alpha is 1.4054920170262104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2720603167612691 the lambda is 0.47598684325952095 the regulation term lambda/alpha is 1.74956365899256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2593124219421176 the lambda is 0.4915165334580201 the regulation term lambda/alpha is 1.8954608104648911 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197715474837394 the lambda is 0.48332172493780345 the regulation term lambda/alpha is 1.5114594426584518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32411907390260236 the lambda is 0.5119386527106481 the regulation term lambda/alpha is 1.5794770932379174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28488171600683265 the lambda is 0.5079768391619505 the regulation term lambda/alpha is 1.7831149232117343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30805324193637135 the lambda is 0.447330091975188 the regulation term lambda/alpha is 1.4521194101491859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3079010251421102 the lambda is 0.5030288365738955 the regulation term lambda/alpha is 1.6337355042638297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971895807684189 the lambda is 0.5015822128031011 the regulation term lambda/alpha is 1.687751675231012 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3201214736981283 the lambda is 0.49028417100627747 the regulation term lambda/alpha is 1.5315566473638411 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33949595688165135 the lambda is 0.5407052564498833 the regulation term lambda/alpha is 1.5926706798407433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3378811096439443 the lambda is 0.5945364448255014 the regulation term lambda/alpha is 1.7596024987961532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31831338178167684 the lambda is 0.5325042457805198 the regulation term lambda/alpha is 1.6728930552651133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33904979961465753 the lambda is 0.5373854747493388 the regulation term lambda/alpha is 1.584975054874231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28378875817083266 the lambda is 0.5498499147557249 the regulation term lambda/alpha is 1.9375324036786936 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3441216431174408 the lambda is 0.5437050888710395 the regulation term lambda/alpha is 1.5799793466797014 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29781815065239015 the lambda is 0.4749275206789637 the regulation term lambda/alpha is 1.5946896441288212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3210385486917934 the lambda is 0.5190714958902295 the regulation term lambda/alpha is 1.616850991899274 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29404844325048185 the lambda is 0.5182227910049609 the regulation term lambda/alpha is 1.7623721631592475 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30683185368202626 the lambda is 0.4609975019834138 the regulation term lambda/alpha is 1.5024434277320873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2990106472008087 the lambda is 0.49969536584435953 the regulation term lambda/alpha is 1.6711624503082512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31274706335474867 the lambda is 0.48131391248144423 the regulation term lambda/alpha is 1.538987791982847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3012307795686325 the lambda is 0.4707566187132723 the regulation term lambda/alpha is 1.562777281217423 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3449332510609231 the lambda is 0.48931302620956635 the regulation term lambda/alpha is 1.418573085385562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.291439165739077 the lambda is 0.5542750831882182 the regulation term lambda/alpha is 1.9018551668668167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3009296179671753 the lambda is 0.5078701951377466 the regulation term lambda/alpha is 1.6876710194512785 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2805271151251682 the lambda is 0.4916997836104187 the regulation term lambda/alpha is 1.7527709697190146 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3082761238111277 the lambda is 0.48835194531596626 the regulation term lambda/alpha is 1.5841380749135348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33558639508472815 the lambda is 0.5261801838937477 the regulation term lambda/alpha is 1.5679425376016771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31267585005652543 the lambda is 0.4838211764339705 the regulation term lambda/alpha is 1.5473570355577684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29154877622490893 the lambda is 0.4568342740210843 the regulation term lambda/alpha is 1.566922282907027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3680386917748217 the lambda is 0.5191483223817464 the regulation term lambda/alpha is 1.4105808274619631 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29924740336907923 the lambda is 0.4996620567954911 the regulation term lambda/alpha is 1.6697289639610633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3172003074950027 the lambda is 0.5110214183558462 the regulation term lambda/alpha is 1.6110369576608845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25842887068503284 the lambda is 0.5122330901500103 the regulation term lambda/alpha is 1.9821047423695481 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29116489299469495 the lambda is 0.5051989190400878 the regulation term lambda/alpha is 1.7350955805282906 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31127587227617737 the lambda is 0.5366696750014611 the regulation term lambda/alpha is 1.7240966062583374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33516040883863907 the lambda is 0.5046529665550409 the regulation term lambda/alpha is 1.5057057851901683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2758178025937142 the lambda is 0.5133190530581924 the regulation term lambda/alpha is 1.8610802066838406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3600737405363139 the lambda is 0.5238310172668047 the regulation term lambda/alpha is 1.4547881677974672 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3030873106953114 the lambda is 0.5134365506364277 the regulation term lambda/alpha is 1.6940219287259335 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3513628718831911 the lambda is 0.5352550672127951 the regulation term lambda/alpha is 1.5233683181834252 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32141180948527054 the lambda is 0.4574997688477963 the regulation term lambda/alpha is 1.4234068423947015 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3554152023387495 the lambda is 0.5211766413456569 the regulation term lambda/alpha is 1.466388150861703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38110037798006396 the lambda is 0.5508338793493472 the regulation term lambda/alpha is 1.4453774154434513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27637942211892147 the lambda is 0.45248519532109976 the regulation term lambda/alpha is 1.6371884413536508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29687106900314064 the lambda is 0.5124466091090166 the regulation term lambda/alpha is 1.7261588029771786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2866204052086237 the lambda is 0.5081396686551307 the regulation term lambda/alpha is 1.7728663396636704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3170742836084006 the lambda is 0.4932420239443087 the regulation term lambda/alpha is 1.5556040002079836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30813476990567384 the lambda is 0.5314350105912451 the regulation term lambda/alpha is 1.724683685498809 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3177749678015415 the lambda is 0.5109926997634395 the regulation term lambda/alpha is 1.6080332044359371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33856827955175406 the lambda is 0.5080868677715181 the regulation term lambda/alpha is 1.5006924701989135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3304484678413673 the lambda is 0.5014115145990852 the regulation term lambda/alpha is 1.5173667406434737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.353317927967895 the lambda is 0.5571942967103856 the regulation term lambda/alpha is 1.5770337495045432 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3199901224954304 the lambda is 0.5608258875543575 the regulation term lambda/alpha is 1.752634997545483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171834893802482 the lambda is 0.45421775568305994 the regulation term lambda/alpha is 1.4320346767436287 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2965088104468902 the lambda is 0.5466288227223958 the regulation term lambda/alpha is 1.8435500176150965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28621058966681556 the lambda is 0.5122239542239447 the regulation term lambda/alpha is 1.789675059962794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33123426408066525 the lambda is 0.5089918658332004 the regulation term lambda/alpha is 1.536652215754002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33566684457222384 the lambda is 0.4847729940800506 the regulation term lambda/alpha is 1.444208750190531 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.331499914911142 the lambda is 0.5193928001673649 the regulation term lambda/alpha is 1.5667961794397058 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2875951300400024 the lambda is 0.5348948606072419 the regulation term lambda/alpha is 1.8598884498942727 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351583108185507 the lambda is 0.5361734372217202 the regulation term lambda/alpha is 1.5997617242795923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31171170832423867 the lambda is 0.5268057005495457 the regulation term lambda/alpha is 1.6900414276436768 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.342491382318038 the lambda is 0.5316000846754262 the regulation term lambda/alpha is 1.5521560895268938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28672666772388017 the lambda is 0.536732649000152 the regulation term lambda/alpha is 1.8719313876902075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33391826521923257 the lambda is 0.5549055549657421 the regulation term lambda/alpha is 1.6618005445177468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39269774974486443 the lambda is 0.612956025754599 the regulation term lambda/alpha is 1.5608849965471823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3172293801745383 the lambda is 0.507028298937091 the regulation term lambda/alpha is 1.598301830234407 730 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34499802121023565 the lambda is 0.5294427858156905 the regulation term lambda/alpha is 1.5346255725132334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891881919799164 the lambda is 0.5002321345111216 the regulation term lambda/alpha is 1.7297806355311416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3330951924926989 the lambda is 0.49808565104959834 the regulation term lambda/alpha is 1.495325247182953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32035592561556336 the lambda is 0.49180591000911866 the regulation term lambda/alpha is 1.5351859312860046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3029720818003191 the lambda is 0.5600832902937765 the regulation term lambda/alpha is 1.8486300353671286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3392375015936644 the lambda is 0.5381356775038036 the regulation term lambda/alpha is 1.5863095175968418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3422350857072738 the lambda is 0.5819320950731971 the regulation term lambda/alpha is 1.700387012835221 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34449835817046415 the lambda is 0.5242311574520013 the regulation term lambda/alpha is 1.5217232390773894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190040997989245 the lambda is 0.47770274899684895 the regulation term lambda/alpha is 1.4974815348704162 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32024260895541135 the lambda is 0.47092608407805936 the regulation term lambda/alpha is 1.4705291266960303 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3305047054953777 the lambda is 0.579289198516283 the regulation term lambda/alpha is 1.7527411528014833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3335921061538695 the lambda is 0.469035225686053 the regulation term lambda/alpha is 1.406014162306677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34943800062435265 the lambda is 0.555578588815882 the regulation term lambda/alpha is 1.5899203516023186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3343137518995083 the lambda is 0.5374522288586697 the regulation term lambda/alpha is 1.6076282408514952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100596742798741 the lambda is 0.4937803388334999 the regulation term lambda/alpha is 1.5925332437387234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3016131925444579 the lambda is 0.5252834499959262 the regulation term lambda/alpha is 1.741579821375019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31907222379552397 the lambda is 0.5344406960008163 the regulation term lambda/alpha is 1.6749834556056822 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31352018854934394 the lambda is 0.5260649576339522 the regulation term lambda/alpha is 1.6779300882282946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217496639474132 the lambda is 0.5636625220370529 the regulation term lambda/alpha is 1.7518667000975576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3014990228606685 the lambda is 0.49697282320257297 the regulation term lambda/alpha is 1.6483397474632568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35842655872640156 the lambda is 0.56789355715543 the regulation term lambda/alpha is 1.584407023780069 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26646923845741616 the lambda is 0.44839518397552214 the regulation term lambda/alpha is 1.682727757137262 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398477985850621 the lambda is 0.5353658572018369 the regulation term lambda/alpha is 1.575310652094272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32948033343486266 the lambda is 0.5107771648528333 the regulation term lambda/alpha is 1.5502508435873381 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31376135869575966 the lambda is 0.4975098802850107 the regulation term lambda/alpha is 1.585631456827747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31840154460476827 the lambda is 0.5263301003030717 the regulation term lambda/alpha is 1.6530387783024265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32551974525609984 the lambda is 0.5105351433997167 the regulation term lambda/alpha is 1.5683692029128913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3343463714764464 the lambda is 0.6044096969293558 the regulation term lambda/alpha is 1.807735176728049 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33176637434508405 the lambda is 0.5761388208244845 the regulation term lambda/alpha is 1.7365799109743971 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30186495332303404 the lambda is 0.5490255538853624 the regulation term lambda/alpha is 1.8187787215491524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2845385365498978 the lambda is 0.5064827112228791 the regulation term lambda/alpha is 1.7800144661039976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31166273282618545 the lambda is 0.46810764692332785 the regulation term lambda/alpha is 1.5019686270427202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29743836244410904 the lambda is 0.5014093186088381 the regulation term lambda/alpha is 1.6857587383438368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3104445616582651 the lambda is 0.5396959178881175 the regulation term lambda/alpha is 1.7384614985854077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240311371750587 the lambda is 0.47404655926810346 the regulation term lambda/alpha is 1.4629660698687685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31365959957954764 the lambda is 0.48086335956415044 the regulation term lambda/alpha is 1.5330739445205408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2769561092874949 the lambda is 0.4653030233302218 the regulation term lambda/alpha is 1.6800605140188942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3626175902404014 the lambda is 0.5155811753719725 the regulation term lambda/alpha is 1.421831674051339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.281018206928833 the lambda is 0.5216921923958812 the regulation term lambda/alpha is 1.8564355601628264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3277266463824481 the lambda is 0.5316650802067482 the regulation term lambda/alpha is 1.6222821246774957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2813196966500931 the lambda is 0.5083162536599698 the regulation term lambda/alpha is 1.80689891149789 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30696321217636674 the lambda is 0.46056068170583003 the regulation term lambda/alpha is 1.500377450576108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33059701970325217 the lambda is 0.5280068605259085 the regulation term lambda/alpha is 1.5971313383280157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3307225436728293 the lambda is 0.48584285188505577 the regulation term lambda/alpha is 1.4690345765049533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28291469958539317 the lambda is 0.5078596293574701 the regulation term lambda/alpha is 1.795098063486026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29066599666595755 the lambda is 0.4872793198814501 the regulation term lambda/alpha is 1.6764235427284835 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.330414897126801 the lambda is 0.5427753405025479 the regulation term lambda/alpha is 1.6427084408795614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.274721978540502 the lambda is 0.49197046581037296 the regulation term lambda/alpha is 1.7907939816975444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32391710112196603 the lambda is 0.5395245898314346 the regulation term lambda/alpha is 1.6656255195006973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3565166036481119 the lambda is 0.5125586512314051 the regulation term lambda/alpha is 1.437685218546818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2829910283662786 the lambda is 0.49412083638848314 the regulation term lambda/alpha is 1.746065376139546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.286979704819066 the lambda is 0.5004118932135252 the regulation term lambda/alpha is 1.7437187536624696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3154428385966667 the lambda is 0.47452300394794034 the regulation term lambda/alpha is 1.5043074239979104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989815266246931 the lambda is 0.49318817610602134 the regulation term lambda/alpha is 1.6495606991970206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971500636222265 the lambda is 0.5005007594441694 the regulation term lambda/alpha is 1.6843367063197643 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34639231780610974 the lambda is 0.4910557193645086 the regulation term lambda/alpha is 1.4176287813616382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34463359297062024 the lambda is 0.5201615643170864 the regulation term lambda/alpha is 1.5093176490239295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3237005849628963 the lambda is 0.49284641790186934 the regulation term lambda/alpha is 1.522537927938441 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3007308659395946 the lambda is 0.52612777974865 the regulation term lambda/alpha is 1.7494971063406877 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3274743042868816 the lambda is 0.5968249211838653 the regulation term lambda/alpha is 1.8225091659741979 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32735864460671577 the lambda is 0.4978006619716747 the regulation term lambda/alpha is 1.520658367124307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30886938936339636 the lambda is 0.4956945261614742 the regulation term lambda/alpha is 1.604867763630248 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3533574017228779 the lambda is 0.5152660920513317 the regulation term lambda/alpha is 1.4582009306697115 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27372143559262685 the lambda is 0.46054946130529706 the regulation term lambda/alpha is 1.68254802663947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2874807649220816 the lambda is 0.5350386471799791 the regulation term lambda/alpha is 1.861128508284703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34352322180001926 the lambda is 0.5521014522839207 the regulation term lambda/alpha is 1.6071735977293682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29883122562166686 the lambda is 0.46585332506302196 the regulation term lambda/alpha is 1.5589178275927973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3658320152601504 the lambda is 0.5017735031444919 the regulation term lambda/alpha is 1.3715953831642393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31088226456583284 the lambda is 0.4985703941256957 the regulation term lambda/alpha is 1.6037273622603767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32353980807397703 the lambda is 0.5612058552274375 the regulation term lambda/alpha is 1.7345805407015584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28886126986980837 the lambda is 0.5436771056536277 the regulation term lambda/alpha is 1.882139152468126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34511634321695495 the lambda is 0.5073547585940498 the regulation term lambda/alpha is 1.4700977469360377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2772423252413702 the lambda is 0.4950616613614025 the regulation term lambda/alpha is 1.785664078998026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31426428566157544 the lambda is 0.4853773921420569 the regulation term lambda/alpha is 1.5444879176145059 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3226281737671067 the lambda is 0.5648316146787626 the regulation term lambda/alpha is 1.7507200567254044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30421596850864063 the lambda is 0.5460285695192646 the regulation term lambda/alpha is 1.794871492762405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37903209430394746 the lambda is 0.5274706111960237 the regulation term lambda/alpha is 1.3916251924910683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31833895773824117 the lambda is 0.468431901034783 the regulation term lambda/alpha is 1.4714878265699354 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31776623772635887 the lambda is 0.514382333474423 the regulation term lambda/alpha is 1.618744449236857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33176930840784363 the lambda is 0.5590784625179847 the regulation term lambda/alpha is 1.6851422007689456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31542659318688787 the lambda is 0.5567764774230842 the regulation term lambda/alpha is 1.7651538882557007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2825231542531905 the lambda is 0.5043469694354573 the regulation term lambda/alpha is 1.7851526922408405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28244901853359133 the lambda is 0.4908398712352994 the regulation term lambda/alpha is 1.7377998825544665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2616083851709233 the lambda is 0.5203528651348706 the regulation term lambda/alpha is 1.9890527010244536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31881250318379184 the lambda is 0.4838138360756928 the regulation term lambda/alpha is 1.5175497549315986 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3238895652224492 the lambda is 0.49281480744516415 the regulation term lambda/alpha is 1.5215519743795887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27217751556736225 the lambda is 0.5055066848632 the regulation term lambda/alpha is 1.857268348597628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33506592619397096 the lambda is 0.49216724223473907 the regulation term lambda/alpha is 1.4688668818858697 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3227711268722321 the lambda is 0.5134146396692775 the regulation term lambda/alpha is 1.5906461170937107 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202833421521303 the lambda is 0.4551482544267906 the regulation term lambda/alpha is 1.4210800079967982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3515257747862357 the lambda is 0.5637493358945915 the regulation term lambda/alpha is 1.6037211957996818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35634471108961324 the lambda is 0.5214653814114123 the regulation term lambda/alpha is 1.4633734279846646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190998020695168 the lambda is 0.5120764406547434 the regulation term lambda/alpha is 1.6047532381207372 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35400622964598844 the lambda is 0.5231937019257514 the regulation term lambda/alpha is 1.4779223022401413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2981472463958139 the lambda is 0.5048618986271147 the regulation term lambda/alpha is 1.6933307442218362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35826984246219507 the lambda is 0.5001172334352084 the regulation term lambda/alpha is 1.3959233353222613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2917291616836357 the lambda is 0.48625354197661197 the regulation term lambda/alpha is 1.66679785856968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33184219727632575 the lambda is 0.5280274640249822 the regulation term lambda/alpha is 1.5912004813097733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35341329489149204 the lambda is 0.5764780551347473 the regulation term lambda/alpha is 1.6311725208632644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2837159842752233 the lambda is 0.4880464207149586 the regulation term lambda/alpha is 1.7201936012231203 740 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30340936519372674 the lambda is 0.4664354957029383 the regulation term lambda/alpha is 1.5373141017091527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26068218509127455 the lambda is 0.5449791775268548 the regulation term lambda/alpha is 2.0905884970084827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28875901063449133 the lambda is 0.48151234534406856 the regulation term lambda/alpha is 1.6675231858082613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31050273995661143 the lambda is 0.5777599912557618 the regulation term lambda/alpha is 1.8607242929208805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3065065829760357 the lambda is 0.4924194168049027 the regulation term lambda/alpha is 1.6065541301714965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323008406001967 the lambda is 0.4609018704826195 the regulation term lambda/alpha is 1.426903640643373 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25712760495342313 the lambda is 0.4801530559851126 the regulation term lambda/alpha is 1.867372645858421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3241187758182894 the lambda is 0.5054184007431148 the regulation term lambda/alpha is 1.559361686058161 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32277416573609163 the lambda is 0.542029585028285 the regulation term lambda/alpha is 1.6792842877997312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3091958766614218 the lambda is 0.5219584078561587 the regulation term lambda/alpha is 1.6881156808818567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34931271201577163 the lambda is 0.5053952092306176 the regulation term lambda/alpha is 1.4468274180866307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3482211751146414 the lambda is 0.5127564752747871 the regulation term lambda/alpha is 1.4725022827976424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37135741144207735 the lambda is 0.5048519892828849 the regulation term lambda/alpha is 1.3594773491187733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.286699893101925 the lambda is 0.5331538416988235 the regulation term lambda/alpha is 1.8596234408405634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2938419620567876 the lambda is 0.5100528023418845 the regulation term lambda/alpha is 1.735806549791933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.337672943966813 the lambda is 0.4931997491193224 the regulation term lambda/alpha is 1.460584147860525 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3101260044037746 the lambda is 0.49235968995090656 the regulation term lambda/alpha is 1.587611754446329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3071687424484756 the lambda is 0.5360031229403095 the regulation term lambda/alpha is 1.7449793838649403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2878185451991044 the lambda is 0.5158348708484141 the regulation term lambda/alpha is 1.7922224938340048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2856894957581665 the lambda is 0.44954136474795586 the regulation term lambda/alpha is 1.5735313038197543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31255306425537904 the lambda is 0.4580619192027047 the regulation term lambda/alpha is 1.465549282948108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36960275060212977 the lambda is 0.5160731439894631 the regulation term lambda/alpha is 1.39629140516058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31297575266161076 the lambda is 0.5128871934541057 the regulation term lambda/alpha is 1.6387441809546157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31222169812384 the lambda is 0.49238812626183487 the regulation term lambda/alpha is 1.577046468008554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29962287068086757 the lambda is 0.49832304316171927 the regulation term lambda/alpha is 1.6631675747225918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31231832314811153 the lambda is 0.4266000814944317 the regulation term lambda/alpha is 1.3659143568471455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3482255072043272 the lambda is 0.533840757701874 the regulation term lambda/alpha is 1.5330317471219417 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3421521694614044 the lambda is 0.504957511986603 the regulation term lambda/alpha is 1.4758272986591816 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3203104290018984 the lambda is 0.47730249709376854 the regulation term lambda/alpha is 1.4901247473616905 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3348727699424407 the lambda is 0.447108403068163 the regulation term lambda/alpha is 1.3351590311299837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3516705335465342 the lambda is 0.5301245873705374 the regulation term lambda/alpha is 1.5074467059390106 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.33585779649599956 the lambda is 0.47474290363420335 the regulation term lambda/alpha is 1.413523546534249 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34373899958281406 the lambda is 0.5128715130642867 the regulation term lambda/alpha is 1.4920376032011025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31710702974415667 the lambda is 0.519810034142779 the regulation term lambda/alpha is 1.6392258303518659 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33208998586803884 the lambda is 0.48315555581500974 the regulation term lambda/alpha is 1.4548934818136887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33996382169185035 the lambda is 0.48829588810988117 the regulation term lambda/alpha is 1.4363172106956774 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3230078428409288 the lambda is 0.5588787706829216 the regulation term lambda/alpha is 1.730232819635131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32668031070233183 the lambda is 0.5345121021161443 the regulation term lambda/alpha is 1.6361931974626622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33519140242305717 the lambda is 0.5016238901919414 the regulation term lambda/alpha is 1.4965297038222471 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3446982191995584 the lambda is 0.5644291150019092 the regulation term lambda/alpha is 1.6374587496059576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31488996718091977 the lambda is 0.5444468511071122 the regulation term lambda/alpha is 1.72900666217257 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33731835273058647 the lambda is 0.5139353194059268 the regulation term lambda/alpha is 1.5235913351456538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.333198370011751 the lambda is 0.5250191667391759 the regulation term lambda/alpha is 1.5756954835062966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30613547664517765 the lambda is 0.5005981706050682 the regulation term lambda/alpha is 1.6352177672804644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3056390823293213 the lambda is 0.5221921355012957 the regulation term lambda/alpha is 1.708525400356496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30781586714624576 the lambda is 0.47323124076846446 the regulation term lambda/alpha is 1.5373841678656173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3139792190977784 the lambda is 0.4943008728394733 the regulation term lambda/alpha is 1.5743107912041139 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28322101704327685 the lambda is 0.44665447349793563 the regulation term lambda/alpha is 1.57705271367515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38593992423229123 the lambda is 0.562750713813033 the regulation term lambda/alpha is 1.458130342261046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3177365843478291 the lambda is 0.4443629750255309 the regulation term lambda/alpha is 1.3985263168155757 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301930324427154 the lambda is 0.5484597581978753 the regulation term lambda/alpha is 1.6610276544615659 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34589786428247704 the lambda is 0.5324882157176652 the regulation term lambda/alpha is 1.5394377089382936 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29398522400816945 the lambda is 0.5167057817039661 the regulation term lambda/alpha is 1.7575909927010738 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34520397909787004 the lambda is 0.5041794364544742 the regulation term lambda/alpha is 1.460526143910793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3573553898052121 the lambda is 0.5370019946988572 the regulation term lambda/alpha is 1.5027113344829282 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058761169836665 the lambda is 0.5563268616929531 the regulation term lambda/alpha is 1.818797973437921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31872209416232605 the lambda is 0.5511545615070017 the regulation term lambda/alpha is 1.7292637429342979 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3335044312231509 the lambda is 0.4623377182527518 the regulation term lambda/alpha is 1.3863015749358885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28918927461051186 the lambda is 0.4641532212849651 the regulation term lambda/alpha is 1.6050153378271015 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105866003314444 the lambda is 0.5387427772901606 the regulation term lambda/alpha is 1.7345976185554621 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3632844212821986 the lambda is 0.5335904018958516 the regulation term lambda/alpha is 1.4687951660920786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35374147838121506 the lambda is 0.5414784687890418 the regulation term lambda/alpha is 1.5307180579075577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32757820142301486 the lambda is 0.5374705264834675 the regulation term lambda/alpha is 1.6407395978995876 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3684244833652584 the lambda is 0.5714653122065979 the regulation term lambda/alpha is 1.5511056892493313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3293108354081295 the lambda is 0.5380988747542806 the regulation term lambda/alpha is 1.634015091205216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2853497634216794 the lambda is 0.5479523078817722 the regulation term lambda/alpha is 1.920283028488194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30327567430640906 the lambda is 0.5378161293908568 the regulation term lambda/alpha is 1.7733572948797867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3141475476402665 the lambda is 0.5244311697589038 the regulation term lambda/alpha is 1.6693785251490654 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3307186939571732 the lambda is 0.49919391303658006 the regulation term lambda/alpha is 1.5094215179176529 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31197059944026356 the lambda is 0.48078466177814666 the regulation term lambda/alpha is 1.5411217039066138 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.2909034543429652 the lambda is 0.5140458431186186 the regulation term lambda/alpha is 1.7670668238699432 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2791186658695683 the lambda is 0.5560011304426371 the regulation term lambda/alpha is 1.9919883491505923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3735352899016696 the lambda is 0.592442345304665 the regulation term lambda/alpha is 1.5860411621633421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3451505132670312 the lambda is 0.5421236317170721 the regulation term lambda/alpha is 1.5706876011441695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2723196933077363 the lambda is 0.5333932682046281 the regulation term lambda/alpha is 1.9587025151422457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30832849642505156 the lambda is 0.5143485767229999 the regulation term lambda/alpha is 1.668183715377173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3418016099890905 the lambda is 0.549750954385 the regulation term lambda/alpha is 1.6083919394134707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3266634612170197 the lambda is 0.5198477914456581 the regulation term lambda/alpha is 1.5913864057795428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3162846369463927 the lambda is 0.5407190677721561 the regulation term lambda/alpha is 1.7095963717763596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2903368274220111 the lambda is 0.47510296539730307 the regulation term lambda/alpha is 1.6363854686154926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3234180793177747 the lambda is 0.5621061938625566 the regulation term lambda/alpha is 1.7380172284996431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36002608025379873 the lambda is 0.484016479739209 the regulation term lambda/alpha is 1.344392826758561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419540403493694 the lambda is 0.49292157270294057 the regulation term lambda/alpha is 1.4414848621157683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30975474873105274 the lambda is 0.5275857621649497 the regulation term lambda/alpha is 1.7032370426160297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29720605990990806 the lambda is 0.48254445201683005 the regulation term lambda/alpha is 1.6236023322105329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240192429835683 the lambda is 0.5423703677228934 the regulation term lambda/alpha is 1.673883201283814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32984552848804577 the lambda is 0.5156749311079485 the regulation term lambda/alpha is 1.5633831189760619 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3136921346979028 the lambda is 0.5124331704473711 the regulation term lambda/alpha is 1.633554411368533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29892932218172585 the lambda is 0.49489200366497155 the regulation term lambda/alpha is 1.655548542555205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35561057929248596 the lambda is 0.5305858263807387 the regulation term lambda/alpha is 1.4920417368807732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36012324348610175 the lambda is 0.5259550731982471 the regulation term lambda/alpha is 1.4604863271441275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879597803056942 the lambda is 0.4537608553632504 the regulation term lambda/alpha is 1.575778585750913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124635550704136 the lambda is 0.4609031158518109 the regulation term lambda/alpha is 1.4750619980238862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29703444190915856 the lambda is 0.5165105915366205 the regulation term lambda/alpha is 1.738891248492267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2898878958703523 the lambda is 0.4844552069468133 the regulation term lambda/alpha is 1.671181218147439 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3471422817308571 the lambda is 0.596888743209972 the regulation term lambda/alpha is 1.7194354436857273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156808211773471 the lambda is 0.500582363725438 the regulation term lambda/alpha is 1.5857230789583336 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2928983944557741 the lambda is 0.5116338437486448 the regulation term lambda/alpha is 1.7467963410973852 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3447763912584909 the lambda is 0.510006208022019 the regulation term lambda/alpha is 1.4792376187952194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2923700542345401 the lambda is 0.5048456612314761 the regulation term lambda/alpha is 1.7267351902821328 750 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112287107888283 the lambda is 0.5026589524428814 the regulation term lambda/alpha is 1.615078991809147 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27540995137499463 the lambda is 0.5170548772496857 the regulation term lambda/alpha is 1.877400851596936 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34803428048518487 the lambda is 0.5430693798557543 the regulation term lambda/alpha is 1.5603904853817172 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3142153810402096 the lambda is 0.5135399608907122 the regulation term lambda/alpha is 1.6343565333773251 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105128130738693 the lambda is 0.5358259096824168 the regulation term lambda/alpha is 1.7256161005985502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30822731474171516 the lambda is 0.4868419461577233 the regulation term lambda/alpha is 1.5794899506738447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29447085000117007 the lambda is 0.5294324569855519 the regulation term lambda/alpha is 1.7979112600905935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31884613527417094 the lambda is 0.49391598944202053 the regulation term lambda/alpha is 1.549073157237141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3053718763041848 the lambda is 0.4563622019541451 the regulation term lambda/alpha is 1.494447384865124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31569833885451615 the lambda is 0.5008156047507815 the regulation term lambda/alpha is 1.5863738991087097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3077613913393079 the lambda is 0.47561763515615163 the regulation term lambda/alpha is 1.5454103358656242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32948609816219354 the lambda is 0.5484473976947704 the regulation term lambda/alpha is 1.6645539849902573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.369363678569278 the lambda is 0.5400771141958371 the regulation term lambda/alpha is 1.4621825196451743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3009330981224179 the lambda is 0.5223772814636058 the regulation term lambda/alpha is 1.735858517134947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.256719421840623 the lambda is 0.4770263492521236 the regulation term lambda/alpha is 1.858162291859133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32429016360027796 the lambda is 0.48275366249005164 the regulation term lambda/alpha is 1.4886472569211096 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3010972799579845 the lambda is 0.5296216278043422 the regulation term lambda/alpha is 1.758971810965035 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3113425248113449 the lambda is 0.49092219238049306 the regulation term lambda/alpha is 1.5767913254958115 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36483949410217 the lambda is 0.580828753699477 the regulation term lambda/alpha is 1.5920117286886193 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32014687980270023 the lambda is 0.531941829054195 the regulation term lambda/alpha is 1.6615555628154786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398636835734664 the lambda is 0.5873657871785793 the regulation term lambda/alpha is 1.728239337027052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3408685312335623 the lambda is 0.5182672733688449 the regulation term lambda/alpha is 1.520431561967008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3426421019411469 the lambda is 0.5089914870136291 the regulation term lambda/alpha is 1.4854902072164347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35256580232297596 the lambda is 0.5044358351988667 the regulation term lambda/alpha is 1.4307565619673082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3672162215829443 the lambda is 0.5455369284553641 the regulation term lambda/alpha is 1.485601387933626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3475196062759368 the lambda is 0.5402922865969094 the regulation term lambda/alpha is 1.5547102288321184 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32078483894609167 the lambda is 0.47446016871164554 the regulation term lambda/alpha is 1.4790604514553733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3169831779836508 the lambda is 0.46803828265265796 the regulation term lambda/alpha is 1.4765398139733403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28331525778607985 the lambda is 0.4753667203572923 the regulation term lambda/alpha is 1.6778719369792041 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33246122186989546 the lambda is 0.4719900566716684 the regulation term lambda/alpha is 1.4196845394990931 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31867481477951565 the lambda is 0.5172834497070278 the regulation term lambda/alpha is 1.6232329186883665 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3148474562547192 the lambda is 0.5645054536229952 the regulation term lambda/alpha is 1.7929490691717598 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32089576034424117 the lambda is 0.4784364394974023 the regulation term lambda/alpha is 1.4909403570310784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3083050419136783 the lambda is 0.5118222892843164 the regulation term lambda/alpha is 1.6601165070392214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30178491144592345 the lambda is 0.5230717684892827 the regulation term lambda/alpha is 1.7332601752126082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3207440822833256 the lambda is 0.5031469248383715 the regulation term lambda/alpha is 1.5686865405483068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28230025231575445 the lambda is 0.48901794611255706 the regulation term lambda/alpha is 1.732261810257214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2916560178704101 the lambda is 0.5366862426403507 the regulation term lambda/alpha is 1.840134301219231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26201078577023396 the lambda is 0.44206602647457766 the regulation term lambda/alpha is 1.6872054529168894 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30311475344450167 the lambda is 0.48909329432579 the regulation term lambda/alpha is 1.6135581946041428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3212171557507496 the lambda is 0.4853683704925611 the regulation term lambda/alpha is 1.5110287909690154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32050244072976486 the lambda is 0.48836091233998696 the regulation term lambda/alpha is 1.523735392554323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3126651713675003 the lambda is 0.5365685578404625 the regulation term lambda/alpha is 1.7161123367008815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33060758471803753 the lambda is 0.509301937716375 the regulation term lambda/alpha is 1.5405028839575443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.345569118119231 the lambda is 0.5245389395106357 the regulation term lambda/alpha is 1.5178987704846214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36564336069628206 the lambda is 0.556086481055488 the regulation term lambda/alpha is 1.5208439174078032 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3012893811568908 the lambda is 0.48941464219242453 the regulation term lambda/alpha is 1.624400569024937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29014800268336877 the lambda is 0.562215855433325 the regulation term lambda/alpha is 1.937686457372781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3906442909900664 the lambda is 0.5448245952150604 the regulation term lambda/alpha is 1.3946820874669192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945378788930427 the lambda is 0.5131133177757075 the regulation term lambda/alpha is 1.742096193888995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32924668290287307 the lambda is 0.5077766375993809 the regulation term lambda/alpha is 1.5422376715308432 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3749530619786146 the lambda is 0.5346658404164543 the regulation term lambda/alpha is 1.4259540583427717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33290496763393507 the lambda is 0.5210468985640588 the regulation term lambda/alpha is 1.5651520680730908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3221275010799823 the lambda is 0.5749463891325844 the regulation term lambda/alpha is 1.7848410558086092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3403491312513991 the lambda is 0.5254025939544297 the regulation term lambda/alpha is 1.5437165713413874 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34684304977184166 the lambda is 0.5508927794674349 the regulation term lambda/alpha is 1.5883056611046986 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3328214843023887 the lambda is 0.5088057692840593 the regulation term lambda/alpha is 1.528764798193671 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3453280934885646 the lambda is 0.5520499687102924 the regulation term lambda/alpha is 1.598624551896104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3115285443827725 the lambda is 0.5304675128654993 the regulation term lambda/alpha is 1.702789431114596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2896479978440641 the lambda is 0.4665893350306015 the regulation term lambda/alpha is 1.610884033390751 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3118660297075151 the lambda is 0.4824639974925386 the regulation term lambda/alpha is 1.5470232456706476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31367208028003607 the lambda is 0.44996169334710573 the regulation term lambda/alpha is 1.4344971122243166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33350303853380353 the lambda is 0.49683234290042555 the regulation term lambda/alpha is 1.4897385795484053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31898901037631394 the lambda is 0.5345718013404654 the regulation term lambda/alpha is 1.675831404692678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2977465444612485 the lambda is 0.5710445663097962 the regulation term lambda/alpha is 1.9178881398709808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30765176586482595 the lambda is 0.4821680989255182 the regulation term lambda/alpha is 1.5672528242121975 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3256377766278324 the lambda is 0.571871065400912 the regulation term lambda/alpha is 1.7561570138543747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3291860133234234 the lambda is 0.5057984185335035 the regulation term lambda/alpha is 1.5365124824928675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33700585507402075 the lambda is 0.5087344451191973 the regulation term lambda/alpha is 1.5095715325404588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3366190602063506 the lambda is 0.5443082314221563 the regulation term lambda/alpha is 1.6169857734392414 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27771753397731386 the lambda is 0.4740609277258274 the regulation term lambda/alpha is 1.7069895477487296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31792555920744575 the lambda is 0.4776906521738945 the regulation term lambda/alpha is 1.5025235887442518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.330010379145251 the lambda is 0.5119790093774951 the regulation term lambda/alpha is 1.5514027489182463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35549180234835065 the lambda is 0.5741117411664921 the regulation term lambda/alpha is 1.614978847258799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240023463157943 the lambda is 0.5329594713018629 the regulation term lambda/alpha is 1.6449247277438082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28033624647209404 the lambda is 0.46994469725539434 the regulation term lambda/alpha is 1.6763608101679237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3474237901931721 the lambda is 0.5010547052357462 the regulation term lambda/alpha is 1.4422003310629747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33912778284068285 the lambda is 0.5169682577834551 the regulation term lambda/alpha is 1.5244055012334954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2723884597355815 the lambda is 0.5040777525485838 the regulation term lambda/alpha is 1.8505840997739493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2635911227575544 the lambda is 0.4666487933384726 the regulation term lambda/alpha is 1.770350945269452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33313443443908874 the lambda is 0.5761819813238477 the regulation term lambda/alpha is 1.729577977413195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32644946501082994 the lambda is 0.462088422974416 the regulation term lambda/alpha is 1.4154975654779713 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.42426572644075644 the lambda is 0.5566059907621975 the regulation term lambda/alpha is 1.3119277756222922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3054123335317552 the lambda is 0.5300340503825381 the regulation term lambda/alpha is 1.7354703533196638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33780224162120176 the lambda is 0.4716859772038378 the regulation term lambda/alpha is 1.3963376173588808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3002786264074621 the lambda is 0.4740484488382593 the regulation term lambda/alpha is 1.5786952754839128 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3033940760427988 the lambda is 0.5212623340830363 the regulation term lambda/alpha is 1.7181032038657986 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35703903201033177 the lambda is 0.5300789519731954 the regulation term lambda/alpha is 1.4846526694533957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.326293672746104 the lambda is 0.5163728848576319 the regulation term lambda/alpha is 1.5825402941828803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3072300762228178 the lambda is 0.5079728637524311 the regulation term lambda/alpha is 1.6533956245352268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2865337321398472 the lambda is 0.5929773885863469 the regulation term lambda/alpha is 2.0694854464706975 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3279912559059176 the lambda is 0.5196857385225623 the regulation term lambda/alpha is 1.584449978970266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.355489138814046 the lambda is 0.5143723940270267 the regulation term lambda/alpha is 1.4469426428695802 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32412271233733003 the lambda is 0.48384626105335016 the regulation term lambda/alpha is 1.4927872766589345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3492422412926725 the lambda is 0.542467183891625 the regulation term lambda/alpha is 1.5532691059470833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3002784927278688 the lambda is 0.5362393471745497 the regulation term lambda/alpha is 1.785806709974808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3515578661215276 the lambda is 0.5479201583123023 the regulation term lambda/alpha is 1.5585489932485128 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29049021124003643 the lambda is 0.4950620454970498 the regulation term lambda/alpha is 1.704229699802079 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3103111958985384 the lambda is 0.4815874353413871 the regulation term lambda/alpha is 1.5519499190059853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3719390357944484 the lambda is 0.5537122127377037 the regulation term lambda/alpha is 1.488717664589828 760 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3163220456419851 the lambda is 0.536524013797718 the regulation term lambda/alpha is 1.69613222091058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.290131251648974 the lambda is 0.5226589332366983 the regulation term lambda/alpha is 1.8014568588049125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3077160130615573 the lambda is 0.4818975907618094 the regulation term lambda/alpha is 1.5660465179152303 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30864714532988996 the lambda is 0.5389299731145423 the regulation term lambda/alpha is 1.7461038641343019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29962170014490164 the lambda is 0.5453853961105597 the regulation term lambda/alpha is 1.8202466505156434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099304659746461 the lambda is 0.5006310217416869 the regulation term lambda/alpha is 1.6153010971907524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29958297919510574 the lambda is 0.48228958966492363 the regulation term lambda/alpha is 1.6098697962103807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29244677829824595 the lambda is 0.5209066173580824 the regulation term lambda/alpha is 1.7812014219792371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32983119347947637 the lambda is 0.5301423393876158 the regulation term lambda/alpha is 1.6073141348306212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34627218860799625 the lambda is 0.49931341456556094 the regulation term lambda/alpha is 1.441967997986745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3289373649711277 the lambda is 0.5129283813384975 the regulation term lambda/alpha is 1.5593496998540117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32365639361964416 the lambda is 0.49595229199427426 the regulation term lambda/alpha is 1.5323420200285292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29556888655026387 the lambda is 0.501248643920168 the regulation term lambda/alpha is 1.6958775660405196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31430351628680137 the lambda is 0.4686455753929603 the regulation term lambda/alpha is 1.4910605548724505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2827996923573906 the lambda is 0.46293259785432567 the regulation term lambda/alpha is 1.636962876428064 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2838979200445493 the lambda is 0.4896446991048785 the regulation term lambda/alpha is 1.7247209807949402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30323203660792714 the lambda is 0.5199907380893787 the regulation term lambda/alpha is 1.7148278391234635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3142402883662465 the lambda is 0.514855185263245 the regulation term lambda/alpha is 1.6384124007141383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33968578635986735 the lambda is 0.5269682915245048 the regulation term lambda/alpha is 1.5513404230762484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3158142665528929 the lambda is 0.5465311580140025 the regulation term lambda/alpha is 1.7305461339013604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3100599991306275 the lambda is 0.44921597232638727 the regulation term lambda/alpha is 1.4488033722051767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2837941629085068 the lambda is 0.4843951312973199 the regulation term lambda/alpha is 1.7068537503834618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29769928847316823 the lambda is 0.523624713833063 the regulation term lambda/alpha is 1.7589048214344574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3372999831676809 the lambda is 0.5482087341780896 the regulation term lambda/alpha is 1.6252853884832845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2908244309327905 the lambda is 0.5098512079036506 the regulation term lambda/alpha is 1.7531237188992461 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36863003988006254 the lambda is 0.5061712242553974 the regulation term lambda/alpha is 1.3731144223082992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3446353312184874 the lambda is 0.5233536448186237 the regulation term lambda/alpha is 1.5185722339269818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2803608928650659 the lambda is 0.4955824910679744 the regulation term lambda/alpha is 1.767659126790169 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3079639253045689 the lambda is 0.4953155727605365 the regulation term lambda/alpha is 1.608355823724098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2942099599941758 the lambda is 0.5517872330562476 the regulation term lambda/alpha is 1.875487944280237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3059393877022827 the lambda is 0.5306691601888938 the regulation term lambda/alpha is 1.7345565217163252 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32603278264436525 the lambda is 0.5262030481608324 the regulation term lambda/alpha is 1.6139574796526268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27649572335169964 the lambda is 0.5222800598883323 the regulation term lambda/alpha is 1.8889263586330323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32024642581932866 the lambda is 0.5384585396792166 the regulation term lambda/alpha is 1.6813881319724557 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3332829957601276 the lambda is 0.5582651224011983 the regulation term lambda/alpha is 1.67504832080601 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.307297672053903 the lambda is 0.5120123873552759 the regulation term lambda/alpha is 1.6661772408918993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32768756342322075 the lambda is 0.5668929588479403 the regulation term lambda/alpha is 1.7299800850720015 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3690463602999241 the lambda is 0.523882055844846 the regulation term lambda/alpha is 1.4195562189506135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3649911433677172 the lambda is 0.5193286783016918 the regulation term lambda/alpha is 1.422852821879254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30836486834540994 the lambda is 0.5123688561996219 the regulation term lambda/alpha is 1.661566892975954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.360868745287133 the lambda is 0.4988684286115538 the regulation term lambda/alpha is 1.3824096298908302 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3659139688314015 the lambda is 0.5437034749282537 the regulation term lambda/alpha is 1.4858778872658192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3507048859776525 the lambda is 0.5627304198442672 the regulation term lambda/alpha is 1.604569660543952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3198326709932138 the lambda is 0.5198461652333067 the regulation term lambda/alpha is 1.62536917701049 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3098241268093931 the lambda is 0.44722038152797805 the regulation term lambda/alpha is 1.4434653173511969 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35531375845826896 the lambda is 0.4959564833708358 the regulation term lambda/alpha is 1.3958268475806437 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3132927754867963 the lambda is 0.5470308164901667 the regulation term lambda/alpha is 1.7460690424162726 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27794277754417485 the lambda is 0.4737264124789348 the regulation term lambda/alpha is 1.7044026711708424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491301445750545 the lambda is 0.5725300886921665 the regulation term lambda/alpha is 1.6398758388194303 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3251634160503598 the lambda is 0.5028452484769761 the regulation term lambda/alpha is 1.546438571057138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28326165793817754 the lambda is 0.4819252362457199 the regulation term lambda/alpha is 1.7013429906242417 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2730623867415416 the lambda is 0.4508277998537957 the regulation term lambda/alpha is 1.6510065894960195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30214650253810404 the lambda is 0.49901860810873655 the regulation term lambda/alpha is 1.6515783036270781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3125202697837854 the lambda is 0.4736484833818224 the regulation term lambda/alpha is 1.5155768414941926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34204205916485675 the lambda is 0.5178366837300155 the regulation term lambda/alpha is 1.5139561637372483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3589961050970519 the lambda is 0.5689500154914824 the regulation term lambda/alpha is 1.5848361790378507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35400520356155746 the lambda is 0.5274155144133577 the regulation term lambda/alpha is 1.4898524346737354 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29633703695290264 the lambda is 0.4917607793761121 the regulation term lambda/alpha is 1.6594644545030952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35501486940097216 the lambda is 0.4984220421774102 the regulation term lambda/alpha is 1.403946947400861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202674670495766 the lambda is 0.5266753188621794 the regulation term lambda/alpha is 1.644485853384076 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33022757048532325 the lambda is 0.507520822128785 the regulation term lambda/alpha is 1.536882039809397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31657056611231205 the lambda is 0.4523420030478636 the regulation term lambda/alpha is 1.4288820612822954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29793151798785433 the lambda is 0.5007381660443974 the regulation term lambda/alpha is 1.6807156538060897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34273119816628667 the lambda is 0.5535935146648849 the regulation term lambda/alpha is 1.6152410916390865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31582477650720214 the lambda is 0.5097727733516972 the regulation term lambda/alpha is 1.6141000050389405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3227136569668255 the lambda is 0.540922996375386 the regulation term lambda/alpha is 1.6761701424708904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3411665812844567 the lambda is 0.577328010884662 the regulation term lambda/alpha is 1.6922173581922417 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3482278669681383 the lambda is 0.5750887322135052 the regulation term lambda/alpha is 1.6514724603189899 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2779108362515172 the lambda is 0.4674461757218701 the regulation term lambda/alpha is 1.682000536671474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2896545130393023 the lambda is 0.45771502691254234 the regulation term lambda/alpha is 1.5802102377408374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33281947560186587 the lambda is 0.5302970252566719 the regulation term lambda/alpha is 1.5933473373145923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3101301898575001 the lambda is 0.4920840104316315 the regulation term lambda/alpha is 1.5867014129057744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2959739088913385 the lambda is 0.4836439796564752 the regulation term lambda/alpha is 1.6340764004101334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2868513160409572 the lambda is 0.5549412710341758 the regulation term lambda/alpha is 1.9345955204017267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112768364217594 the lambda is 0.514787643715386 the regulation term lambda/alpha is 1.653793612249011 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090584131525398 the lambda is 0.5012027537637934 the regulation term lambda/alpha is 1.6217088176027692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3122114036688379 the lambda is 0.48644317134154846 the regulation term lambda/alpha is 1.558057026826342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33761447188586785 the lambda is 0.5240017183881812 the regulation term lambda/alpha is 1.5520712588568255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3026616870471572 the lambda is 0.5535379127026763 the regulation term lambda/alpha is 1.8288998455771857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38018843544887515 the lambda is 0.610526704626019 the regulation term lambda/alpha is 1.6058529079275952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023742559492235 the lambda is 0.4948720202067482 the regulation term lambda/alpha is 1.6366208778364058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3425699200349542 the lambda is 0.5120670980031387 the regulation term lambda/alpha is 1.4947812637808067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3076310499050762 the lambda is 0.4839303503609658 the regulation term lambda/alpha is 1.5730868210809317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27801317178636414 the lambda is 0.5732671191745299 the regulation term lambda/alpha is 2.0620142401563983 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3307887652330039 the lambda is 0.48703515653361357 the regulation term lambda/alpha is 1.472344915313407 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33420465786296205 the lambda is 0.5221022550009023 the regulation term lambda/alpha is 1.5622231549357586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3561765751112994 the lambda is 0.5292617866233542 the regulation term lambda/alpha is 1.4859533826949975 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3602723655634911 the lambda is 0.5071012312304963 the regulation term lambda/alpha is 1.4075496199586517 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36880883920922075 the lambda is 0.5123770223527566 the regulation term lambda/alpha is 1.3892753315006405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3430033701147394 the lambda is 0.49877952295342387 the regulation term lambda/alpha is 1.4541534177538114 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3027734713336928 the lambda is 0.476519100618832 the regulation term lambda/alpha is 1.5738469375133946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3329670951443464 the lambda is 0.5515841784204443 the regulation term lambda/alpha is 1.656572635747457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2829065959039929 the lambda is 0.5320222184421091 the regulation term lambda/alpha is 1.8805578453980476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3269758711163949 the lambda is 0.47204344140029597 the regulation term lambda/alpha is 1.4436644508005936 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3064828500996065 the lambda is 0.43376858631502824 the regulation term lambda/alpha is 1.4153111215653797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4396432323448148 the lambda is 0.6018513795108672 the regulation term lambda/alpha is 1.3689540409866507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32241464249003177 the lambda is 0.5336835924639469 the regulation term lambda/alpha is 1.6552709527776706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3056113316621415 the lambda is 0.5066718684926547 the regulation term lambda/alpha is 1.6578962099899783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3431849105939324 the lambda is 0.5582706930955791 the regulation term lambda/alpha is 1.6267343809767416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32563490026511266 the lambda is 0.5324556298609114 the regulation term lambda/alpha is 1.6351307228660612 770 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30159959601818764 the lambda is 0.48861537006237493 the regulation term lambda/alpha is 1.6200796569797444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879548619507709 the lambda is 0.5015452581060452 the regulation term lambda/alpha is 1.741749573902975 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29691643950411517 the lambda is 0.5163768566846483 the regulation term lambda/alpha is 1.7391319172055861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33191781523446123 the lambda is 0.5039809711750718 the regulation term lambda/alpha is 1.5183908426821502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33199684077616476 the lambda is 0.5224839751139092 the regulation term lambda/alpha is 1.5737618884939106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2840465564834339 the lambda is 0.489810903782962 the regulation term lambda/alpha is 1.7244035972375136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28403958656186534 the lambda is 0.5210205105269825 the regulation term lambda/alpha is 1.8343235773352369 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35612099486291626 the lambda is 0.4750114336682773 the regulation term lambda/alpha is 1.3338484406153202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.289149532019443 the lambda is 0.5094118255759688 the regulation term lambda/alpha is 1.7617591217187751 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32836146090046664 the lambda is 0.5178071977527556 the regulation term lambda/alpha is 1.5769426665747295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3386136041926414 the lambda is 0.5349717466123685 the regulation term lambda/alpha is 1.5798885218681777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34156627764988323 the lambda is 0.5191549473249462 the regulation term lambda/alpha is 1.519924481119583 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.319793993233716 the lambda is 0.4999762336833173 the regulation term lambda/alpha is 1.5634322228120094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073264702645756 the lambda is 0.5258645203398066 the regulation term lambda/alpha is 1.7110941335026977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2664620374005324 the lambda is 0.4773162249547122 the regulation term lambda/alpha is 1.791310423095033 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37234856911189573 the lambda is 0.5448256864687195 the regulation term lambda/alpha is 1.463214126935431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3178509716720646 the lambda is 0.5132339175578899 the regulation term lambda/alpha is 1.6146998540165143 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3047456104616953 the lambda is 0.5419563525364314 the regulation term lambda/alpha is 1.7783893645436184 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2885062911115292 the lambda is 0.4792386860263237 the regulation term lambda/alpha is 1.6611030705083036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3035903276031994 the lambda is 0.5167191602763387 the regulation term lambda/alpha is 1.7020277436233224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3868554488381761 the lambda is 0.5128503194574218 the regulation term lambda/alpha is 1.3256897918786976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32681793699646616 the lambda is 0.545140902105974 the regulation term lambda/alpha is 1.6680262629277551 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28956032831451045 the lambda is 0.47344682683306416 the regulation term lambda/alpha is 1.635054185733698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31189625443236646 the lambda is 0.4810815175075655 the regulation term lambda/alpha is 1.5424408298301198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33795063361808625 the lambda is 0.5312848875981656 the regulation term lambda/alpha is 1.5720783888174743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3289699782165931 the lambda is 0.4605278003157328 the regulation term lambda/alpha is 1.399908291973447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33612224392563406 the lambda is 0.5454922157618101 the regulation term lambda/alpha is 1.622898292570302 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35826624917159533 the lambda is 0.5267944739990406 the regulation term lambda/alpha is 1.4703993893288199 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3019900657826109 the lambda is 0.47399222072924313 the regulation term lambda/alpha is 1.569562295040688 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35607250834061277 the lambda is 0.476218628092853 the regulation term lambda/alpha is 1.3374203762940062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087807940513032 the lambda is 0.4395303744997368 the regulation term lambda/alpha is 1.423438189703955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3584494117045671 the lambda is 0.49843518394952296 the regulation term lambda/alpha is 1.390531460434734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3095792652312859 the lambda is 0.5285027893925975 the regulation term lambda/alpha is 1.7071646868783488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151447200724488 the lambda is 0.5310522571299874 the regulation term lambda/alpha is 1.6851059951374197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3439515927362616 the lambda is 0.5355139854193578 the regulation term lambda/alpha is 1.5569457933284938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3195002243895644 the lambda is 0.5275995208431696 the regulation term lambda/alpha is 1.65132754398279 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.3316901965072972 the lambda is 0.6282972639135537 the regulation term lambda/alpha is 1.8942292251309607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301885652336632 the lambda is 0.5179337687991244 the regulation term lambda/alpha is 1.5685999557028887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3072544212417107 the lambda is 0.46447923386197437 the regulation term lambda/alpha is 1.5117088697531813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3244008626093945 the lambda is 0.5020070732802713 the regulation term lambda/alpha is 1.547489945748786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32054062939507005 the lambda is 0.5547916345780093 the regulation term lambda/alpha is 1.7307997292730781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3233443458392962 the lambda is 0.5805570069826141 the regulation term lambda/alpha is 1.7954759823484092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33761290336400185 the lambda is 0.45233465295482284 the regulation term lambda/alpha is 1.3398026214274523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3077159132239304 the lambda is 0.5522659287816156 the regulation term lambda/alpha is 1.794726580746319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27141543018769204 the lambda is 0.5315707136709407 the regulation term lambda/alpha is 1.9585132403980987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34181822238729925 the lambda is 0.5375135651501164 the regulation term lambda/alpha is 1.5725129028992588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30391030354797977 the lambda is 0.5060847761984257 the regulation term lambda/alpha is 1.66524389035243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3052002611997652 the lambda is 0.5080336817352116 the regulation term lambda/alpha is 1.6645912416263766 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33172845976564813 the lambda is 0.533662853385958 the regulation term lambda/alpha is 1.6087340042002058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29577899990481066 the lambda is 0.4458915462998341 the regulation term lambda/alpha is 1.5075159035744037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3136664489689522 the lambda is 0.44826561288123773 the regulation term lambda/alpha is 1.4291155919121228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36594395645767464 the lambda is 0.5952841646071109 the regulation term lambda/alpha is 1.6267085549641038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3540460583879746 the lambda is 0.4991565513540157 the regulation term lambda/alpha is 1.4098633201192838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33032056413867295 the lambda is 0.541368714030055 the regulation term lambda/alpha is 1.6389191979061324 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29703363523322196 the lambda is 0.4673194005026628 the regulation term lambda/alpha is 1.5732878202017004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3672798828756705 the lambda is 0.5243247659725911 the regulation term lambda/alpha is 1.427589123224815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2798698222644863 the lambda is 0.4968539268998469 the regulation term lambda/alpha is 1.7753036854052218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3082548417531238 the lambda is 0.46452021705625557 the regulation term lambda/alpha is 1.5069356718435007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28362905293728086 the lambda is 0.4806637896466343 the regulation term lambda/alpha is 1.6946916568272854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27888278838543235 the lambda is 0.4847760860771524 the regulation term lambda/alpha is 1.7382789697554353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3569554899074839 the lambda is 0.533834114005525 the regulation term lambda/alpha is 1.4955201113278431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2743264083449028 the lambda is 0.46439616306000997 the regulation term lambda/alpha is 1.6928598521077776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36384133793001217 the lambda is 0.5317528970103014 the regulation term lambda/alpha is 1.4614966513579288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2740887404559217 the lambda is 0.5245927237477556 the regulation term lambda/alpha is 1.9139521122799255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112118639548609 the lambda is 0.46014591407710137 the regulation term lambda/alpha is 1.4785616082548907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3421616090366878 the lambda is 0.5534057485612961 the regulation term lambda/alpha is 1.6173811846376895 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30353570827614385 the lambda is 0.5801963814266693 the regulation term lambda/alpha is 1.9114600543104185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29426946358591094 the lambda is 0.4593182741311549 the regulation term lambda/alpha is 1.5608764447863226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3254237936163294 the lambda is 0.5661962374736069 the regulation term lambda/alpha is 1.739873508269482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419079936545455 the lambda is 0.55055695939193 the regulation term lambda/alpha is 1.6102488669750075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3153583510249094 the lambda is 0.5411973382400495 the regulation term lambda/alpha is 1.716134475212618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2862876960896812 the lambda is 0.5061187928512956 the regulation term lambda/alpha is 1.7678677769398483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34753985374972013 the lambda is 0.5679307285927521 the regulation term lambda/alpha is 1.6341456165822807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.290047298094234 the lambda is 0.45973681083605616 the regulation term lambda/alpha is 1.5850408325013647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30942083453743613 the lambda is 0.5114158521492908 the regulation term lambda/alpha is 1.652816472148115 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3324033040830988 the lambda is 0.508498300411712 the regulation term lambda/alpha is 1.5297630744506392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37502018122668945 the lambda is 0.5688634049911264 the regulation term lambda/alpha is 1.5168874462445636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2942118096812065 the lambda is 0.5173729628336887 the regulation term lambda/alpha is 1.7585050831042053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3528185556607903 the lambda is 0.5435844326611177 the regulation term lambda/alpha is 1.5406911681361086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29722960346573507 the lambda is 0.4867970772761453 the regulation term lambda/alpha is 1.6377812694295228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2982720253870255 the lambda is 0.4947812916951742 the regulation term lambda/alpha is 1.658825667788209 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30008150424515856 the lambda is 0.5213460652329115 the regulation term lambda/alpha is 1.737348213260707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3266148265523888 the lambda is 0.5378599886388977 the regulation term lambda/alpha is 1.6467715024340002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.41220861258470737 the lambda is 0.5316920302251912 the regulation term lambda/alpha is 1.289861526403528 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3592949121116305 the lambda is 0.5049154848869514 the regulation term lambda/alpha is 1.4052953934679642 using Bay_non_info_prior option for model regressor Convergence after 4 iterations the alpha is 0.3583083370395294 the lambda is 0.4609456756320324 the regulation term lambda/alpha is 1.286449764023157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3388310410841696 the lambda is 0.5306290658984346 the regulation term lambda/alpha is 1.5660580099171615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2960632574530273 the lambda is 0.4545216879997544 the regulation term lambda/alpha is 1.5352181554371627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38764299946237785 the lambda is 0.5974118675321989 the regulation term lambda/alpha is 1.541139317260339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28923424788340574 the lambda is 0.5050717868635767 the regulation term lambda/alpha is 1.7462378351099626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.331439571880225 the lambda is 0.5555058373590963 the regulation term lambda/alpha is 1.6760395694689225 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3074253676438296 the lambda is 0.5000556721548823 the regulation term lambda/alpha is 1.6265920928627668 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.316686692322092 the lambda is 0.4870682766534816 the regulation term lambda/alpha is 1.5380130850528442 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3001221242177028 the lambda is 0.48896317636704567 the regulation term lambda/alpha is 1.6292140329260139 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35285707316265663 the lambda is 0.5574751850602397 the regulation term lambda/alpha is 1.5798895004812905 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29627688914131506 the lambda is 0.5000828417754454 the regulation term lambda/alpha is 1.6878901463587364 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29530109068411936 the lambda is 0.5304666290564247 the regulation term lambda/alpha is 1.7963585160742248 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34620893951241755 the lambda is 0.5074455718171358 the regulation term lambda/alpha is 1.4657205921135237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32386789280954387 the lambda is 0.46389295184254176 the regulation term lambda/alpha is 1.4323523947319534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161314841261383 the lambda is 0.5017910982250663 the regulation term lambda/alpha is 1.5872860610898494 780 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30700499247721613 the lambda is 0.4968146166541441 the regulation term lambda/alpha is 1.6182623371866318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3289220556194808 the lambda is 0.5455931624089269 the regulation term lambda/alpha is 1.6587308545830863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31434955030151834 the lambda is 0.5059353947383495 the regulation term lambda/alpha is 1.6094675314568305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3389831553450427 the lambda is 0.49018455001437633 the regulation term lambda/alpha is 1.446043976773505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33291340585093965 the lambda is 0.49185905088265236 the regulation term lambda/alpha is 1.4774384036156232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3428647145577461 the lambda is 0.5761155093613494 the regulation term lambda/alpha is 1.6802997943502833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351491071651014 the lambda is 0.5609945295429302 the regulation term lambda/alpha is 1.6738655050827054 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.318965237114247 the lambda is 0.5788547787111165 the regulation term lambda/alpha is 1.8147895486923618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31082262067325045 the lambda is 0.49633489972796274 the regulation term lambda/alpha is 1.596842915270734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32656993291768704 the lambda is 0.5078492766854488 the regulation term lambda/alpha is 1.5551011452528722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33590787489520996 the lambda is 0.4947247018686347 the regulation term lambda/alpha is 1.4727987607404838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37727751929965403 the lambda is 0.49448472265535426 the regulation term lambda/alpha is 1.3106657496404073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3492604920861664 the lambda is 0.5477890521075744 the regulation term lambda/alpha is 1.568425471875098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105193330452233 the lambda is 0.4675043311803729 the regulation term lambda/alpha is 1.5055562775934686 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30745958045619187 the lambda is 0.5536759024922814 the regulation term lambda/alpha is 1.800808749139536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3433277659591505 the lambda is 0.5759203615417071 the regulation term lambda/alpha is 1.6774651474306648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105076617109497 the lambda is 0.5394845379701438 the regulation term lambda/alpha is 1.7374274599135264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336805197944773 the lambda is 0.5395864349910098 the regulation term lambda/alpha is 1.6170750253067077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27622099528670224 the lambda is 0.4459224982632551 the regulation term lambda/alpha is 1.6143685884572676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31995521684557005 the lambda is 0.5167794876705383 the regulation term lambda/alpha is 1.6151619366155472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3423327406222732 the lambda is 0.5236441807515859 the regulation term lambda/alpha is 1.5296351140698228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3264709748596708 the lambda is 0.5104041346966685 the regulation term lambda/alpha is 1.5633982007621317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2759533721616161 the lambda is 0.4862031015816456 the regulation term lambda/alpha is 1.7619030989659141 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3309721965721197 the lambda is 0.5022751811383039 the regulation term lambda/alpha is 1.5175751508446025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29143384357136065 the lambda is 0.5604047179252715 the regulation term lambda/alpha is 1.9229225784412045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30092408812863153 the lambda is 0.5205761515510529 the regulation term lambda/alpha is 1.7299251608217217 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2996188882906915 the lambda is 0.48736782591690936 the regulation term lambda/alpha is 1.6266258402376257 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3335140177580736 the lambda is 0.5323817365369939 the regulation term lambda/alpha is 1.5962799408424753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27973647014170794 the lambda is 0.4683679171441911 the regulation term lambda/alpha is 1.6743183929750987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27986780595134353 the lambda is 0.5080585567344602 the regulation term lambda/alpha is 1.8153519123338853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2803972195102714 the lambda is 0.44929880429597596 the regulation term lambda/alpha is 1.6023654053371146 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246544837151437 the lambda is 0.4975835968819936 the regulation term lambda/alpha is 1.5326558598173567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891915670322745 the lambda is 0.5066155563177459 the regulation term lambda/alpha is 1.7518337810355527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2946875031874833 the lambda is 0.5166928288749075 the regulation term lambda/alpha is 1.7533584671426736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30425324152878563 the lambda is 0.4816229454082797 the regulation term lambda/alpha is 1.5829673432179785 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3768267280914132 the lambda is 0.5742288467917753 the regulation term lambda/alpha is 1.5238538139271134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30212556571600013 the lambda is 0.4371255835293752 the regulation term lambda/alpha is 1.4468341416041433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3121246669374495 the lambda is 0.5042993983007654 the regulation term lambda/alpha is 1.615698634936239 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35282420385328817 the lambda is 0.48092152209949807 the regulation term lambda/alpha is 1.3630627288242263 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.309395602741 the lambda is 0.5176882043387904 the regulation term lambda/alpha is 1.6732241820907696 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3014712992807978 the lambda is 0.5653355243161219 the regulation term lambda/alpha is 1.8752548772132183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31136343274668243 the lambda is 0.5304675693711632 the regulation term lambda/alpha is 1.703692577807422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34080627419756615 the lambda is 0.5514890904701075 the regulation term lambda/alpha is 1.6181893709809112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3228182950081942 the lambda is 0.5058192301743262 the regulation term lambda/alpha is 1.5668852664050121 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3117393840159557 the lambda is 0.4679923503327153 the regulation term lambda/alpha is 1.5012294702832998 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33354095832321157 the lambda is 0.5224571038448323 the regulation term lambda/alpha is 1.5663956428959922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2969754146962623 the lambda is 0.524464962840208 the regulation term lambda/alpha is 1.766021484898389 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31321253307332964 the lambda is 0.4696907123506039 the regulation term lambda/alpha is 1.4995910532119079 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3152932760872626 the lambda is 0.514418223813005 the regulation term lambda/alpha is 1.631554691545757 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27916825273744017 the lambda is 0.53086110351364 the regulation term lambda/alpha is 1.901581208852279 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3220226603877887 the lambda is 0.5319527752976511 the regulation term lambda/alpha is 1.6519110010986762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27880610842859194 the lambda is 0.47909431127873453 the regulation term lambda/alpha is 1.718378101466312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2708612433866258 the lambda is 0.5113429535683329 the regulation term lambda/alpha is 1.8878409741272761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3632306872387937 the lambda is 0.5127630665509394 the regulation term lambda/alpha is 1.411673310008195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3199367701798952 the lambda is 0.5208815330013064 the regulation term lambda/alpha is 1.628076487452265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3658279591076656 the lambda is 0.5528645708644393 the regulation term lambda/alpha is 1.511269319635921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29757504879637175 the lambda is 0.48887305436813505 the regulation term lambda/alpha is 1.6428563360588306 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3139149538867385 the lambda is 0.4715291710941265 the regulation term lambda/alpha is 1.5020920961422426 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27545006138240374 the lambda is 0.46294103650353485 the regulation term lambda/alpha is 1.6806713862402805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336261747911651 the lambda is 0.5183475877606576 the regulation term lambda/alpha is 1.553677819449028 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31790940395565115 the lambda is 0.5260697502795763 the regulation term lambda/alpha is 1.6547788260864527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2852470735081507 the lambda is 0.5078319607160062 the regulation term lambda/alpha is 1.7803231229346699 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3265389110552579 the lambda is 0.48013687722930903 the regulation term lambda/alpha is 1.47038181660396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29711425207403985 the lambda is 0.5255676251954922 the regulation term lambda/alpha is 1.7689074876977713 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.329310853339731 the lambda is 0.5003265068075694 the regulation term lambda/alpha is 1.519313747887354 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28396161876033005 the lambda is 0.4815097931471928 the regulation term lambda/alpha is 1.6956861819892561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31561680242754425 the lambda is 0.5459999698157871 the regulation term lambda/alpha is 1.7299458254955602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.347034576127623 the lambda is 0.5014174817528283 the regulation term lambda/alpha is 1.4448631814958706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.303510008207348 the lambda is 0.48538064926811353 the regulation term lambda/alpha is 1.5992245268449845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35757651455595324 the lambda is 0.5040722700728085 the regulation term lambda/alpha is 1.4096906523594737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2902790229515055 the lambda is 0.46910971065562945 the regulation term lambda/alpha is 1.6160647982269105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3390704228905614 the lambda is 0.5341415963476083 the regulation term lambda/alpha is 1.575311676536317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33587797473137665 the lambda is 0.5039878115051116 the regulation term lambda/alpha is 1.5005086651132253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2861834110770764 the lambda is 0.5653355222247451 the regulation term lambda/alpha is 1.9754307913832436 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3421078564693233 the lambda is 0.4936867679632748 the regulation term lambda/alpha is 1.4430734595174184 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3288689797167576 the lambda is 0.513257430227742 the regulation term lambda/alpha is 1.5606744992178683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3420541912693601 the lambda is 0.5243583521489612 the regulation term lambda/alpha is 1.5329686509703973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3668221309688724 the lambda is 0.5644948760462795 the regulation term lambda/alpha is 1.538879005351455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3380710618535837 the lambda is 0.5379262214367113 the regulation term lambda/alpha is 1.5911631669606892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3487506277169837 the lambda is 0.5016440965244636 the regulation term lambda/alpha is 1.4384034225496944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30873188841301225 the lambda is 0.5340185101006251 the regulation term lambda/alpha is 1.7297160745061462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3506381962651302 the lambda is 0.5658677703570691 the regulation term lambda/alpha is 1.613822385537245 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2806747504641557 the lambda is 0.5029623167977346 the regulation term lambda/alpha is 1.7919756442857042 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.277833194506965 the lambda is 0.5118701018484743 the regulation term lambda/alpha is 1.8423648144593545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3166540998856276 the lambda is 0.5011665148733628 the regulation term lambda/alpha is 1.5826939081299731 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29601342203118697 the lambda is 0.5192199269140167 the regulation term lambda/alpha is 1.7540418382086522 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31423688636019126 the lambda is 0.4780064157834 the regulation term lambda/alpha is 1.521165835494848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3599781256257733 the lambda is 0.5191548051366579 the regulation term lambda/alpha is 1.442184311155511 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3234750987848773 the lambda is 0.5266257309831778 the regulation term lambda/alpha is 1.6280255666090795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2909868240586947 the lambda is 0.4789673209056471 the regulation term lambda/alpha is 1.6460103389734067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30960403494198097 the lambda is 0.5020938440461615 the regulation term lambda/alpha is 1.6217290066657326 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2896759825466396 the lambda is 0.47937835796964506 the regulation term lambda/alpha is 1.654877818158301 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30749566832684194 the lambda is 0.5963529372948357 the regulation term lambda/alpha is 1.939386465310994 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3546637457848088 the lambda is 0.5018732823608449 the regulation term lambda/alpha is 1.4150679011475706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3587998812262596 the lambda is 0.4400709961212475 the regulation term lambda/alpha is 1.2265081989916775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30906757525515577 the lambda is 0.5332719146707486 the regulation term lambda/alpha is 1.7254217438710526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3123347050964765 the lambda is 0.5507799576028664 the regulation term lambda/alpha is 1.763428618772086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31803500347303254 the lambda is 0.4851872926047917 the regulation term lambda/alpha is 1.525578276939358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31537782712986 the lambda is 0.5322666571347342 the regulation term lambda/alpha is 1.6877110923703842 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36255700025983273 the lambda is 0.47965251239787554 the regulation term lambda/alpha is 1.3229713177627913 790 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2818362209893459 the lambda is 0.4821602578505891 the regulation term lambda/alpha is 1.7107817304604573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36938611887690687 the lambda is 0.5318307508140779 the regulation term lambda/alpha is 1.4397691836148927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3180131273814545 the lambda is 0.4992149691089942 the regulation term lambda/alpha is 1.569793590659512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36217264562264023 the lambda is 0.5298533618635509 the regulation term lambda/alpha is 1.4629855906224978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190557727318957 the lambda is 0.5661762719590144 the regulation term lambda/alpha is 1.7745369943040503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2988187702203525 the lambda is 0.5308583045845121 the regulation term lambda/alpha is 1.77652262002501 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336095598310871 the lambda is 0.4881412899410623 the regulation term lambda/alpha is 1.4632113365942438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2902706385189564 the lambda is 0.48538113036718467 the regulation term lambda/alpha is 1.672167508376795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34321384148266326 the lambda is 0.5098212833303967 the regulation term lambda/alpha is 1.4854333412894982 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2981337044825166 the lambda is 0.5048989795919516 the regulation term lambda/alpha is 1.6935320361323332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2672300689094326 the lambda is 0.5277430818831103 the regulation term lambda/alpha is 1.9748641462273788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3128850190444003 the lambda is 0.5166176565996692 the regulation term lambda/alpha is 1.6511421933127388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3256812077279048 the lambda is 0.49881015218168495 the regulation term lambda/alpha is 1.5315902187344603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32201094695608073 the lambda is 0.5202053458112863 the regulation term lambda/alpha is 1.6154896307989102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29191268214430893 the lambda is 0.458715599147087 the regulation term lambda/alpha is 1.5714137384422302 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31491912217388246 the lambda is 0.5474093217772467 the regulation term lambda/alpha is 1.7382536760501792 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3730180744552579 the lambda is 0.5948567213479127 the regulation term lambda/alpha is 1.5947128626853266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3180503653531684 the lambda is 0.5241977148115572 the regulation term lambda/alpha is 1.648159448675619 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2978482948052678 the lambda is 0.4988360864386956 the regulation term lambda/alpha is 1.674799201938802 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32073835652700244 the lambda is 0.5344217980840934 the regulation term lambda/alpha is 1.6662235345684366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3489008972011936 the lambda is 0.47157237411933955 the regulation term lambda/alpha is 1.3515940426126434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3242420511061726 the lambda is 0.569132129078591 the regulation term lambda/alpha is 1.7552693339342018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32962213575538063 the lambda is 0.5687180075184625 the regulation term lambda/alpha is 1.7253635172745796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30952408423219135 the lambda is 0.525179854066646 the regulation term lambda/alpha is 1.6967334072546005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30336979552655896 the lambda is 0.481940129449476 the regulation term lambda/alpha is 1.5886226531318732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3610401631336955 the lambda is 0.5472525784337076 the regulation term lambda/alpha is 1.5157664833844438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3912786167307988 the lambda is 0.5584896444801153 the regulation term lambda/alpha is 1.4273451719554568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33179400561724 the lambda is 0.5916073752688392 the regulation term lambda/alpha is 1.7830562495192328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3270721637003028 the lambda is 0.5181473179840314 the regulation term lambda/alpha is 1.5841987655629761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28042046800882986 the lambda is 0.48413827210469734 the regulation term lambda/alpha is 1.7264726627924065 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3542619267428771 the lambda is 0.5509637748067191 the regulation term lambda/alpha is 1.5552441095557186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2880068253732722 the lambda is 0.5116788834771109 the regulation term lambda/alpha is 1.7766206853394801 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2905766863001195 the lambda is 0.49578404389642317 the regulation term lambda/alpha is 1.7062072329655418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30150960540862837 the lambda is 0.4800244899915057 the regulation term lambda/alpha is 1.592070306818055 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31721847382285184 the lambda is 0.4968158109377718 the regulation term lambda/alpha is 1.5661629190461797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33492007101746174 the lambda is 0.531526164217645 the regulation term lambda/alpha is 1.5870239206713077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3739150939412068 the lambda is 0.5777095379715416 the regulation term lambda/alpha is 1.545028663813124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3573351432057517 the lambda is 0.526193130927484 the regulation term lambda/alpha is 1.47254794534582 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39255085254911354 the lambda is 0.5135465608937647 the regulation term lambda/alpha is 1.3082293862284071 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.284222460746035 the lambda is 0.46794734687997075 the regulation term lambda/alpha is 1.646412270345171 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3329827168894661 the lambda is 0.5064821809726601 the regulation term lambda/alpha is 1.5210464546146016 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3403081469056086 the lambda is 0.5401023848422492 the regulation term lambda/alpha is 1.5870980161754915 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37989395132711745 the lambda is 0.5281110407343107 the regulation term lambda/alpha is 1.3901538544886363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3599530345338872 the lambda is 0.5411372052905374 the regulation term lambda/alpha is 1.5033550307230232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3453298478398561 the lambda is 0.5488147274216525 the regulation term lambda/alpha is 1.5892478766450586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34209166652662887 the lambda is 0.5537844690267819 the regulation term lambda/alpha is 1.6188189401090676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29397112398329667 the lambda is 0.4512132534633699 the regulation term lambda/alpha is 1.5348897107629103 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3511190240948202 the lambda is 0.5214041369039798 the regulation term lambda/alpha is 1.4849783153964733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3154449107947941 the lambda is 0.5073321713682984 the regulation term lambda/alpha is 1.6083067249049152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3030599557194131 the lambda is 0.48769067105397174 the regulation term lambda/alpha is 1.609221745896044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322391095961037 the lambda is 0.5354060170769104 the regulation term lambda/alpha is 1.6607345047197506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32015920030175404 the lambda is 0.540378171336874 the regulation term lambda/alpha is 1.6878420824001337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31634602738472806 the lambda is 0.5491517196242403 the regulation term lambda/alpha is 1.7359210234569589 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30040607815207176 the lambda is 0.51307669258891 the regulation term lambda/alpha is 1.7079437797832437 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.312330265594439 the lambda is 0.5584187056174164 the regulation term lambda/alpha is 1.787910961989586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34271825090623664 the lambda is 0.5103714317362332 the regulation term lambda/alpha is 1.4891866143302195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2798674575918314 the lambda is 0.4579598406596572 the regulation term lambda/alpha is 1.6363454493789773 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3291955118904645 the lambda is 0.5629491772796102 the regulation term lambda/alpha is 1.7100754929700386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3204901887816987 the lambda is 0.5500610874474119 the regulation term lambda/alpha is 1.7163117833291457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3403815725664815 the lambda is 0.5986707294576855 the regulation term lambda/alpha is 1.7588223855471976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246173135215055 the lambda is 0.5509209881445152 the regulation term lambda/alpha is 1.6971398788562069 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32057768588895463 the lambda is 0.5410147871041442 the regulation term lambda/alpha is 1.6876245943441837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34554986579929725 the lambda is 0.5211329810706063 the regulation term lambda/alpha is 1.508126706590277 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33900391278467984 the lambda is 0.5628986262205926 the regulation term lambda/alpha is 1.6604487588263346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3504387842417359 the lambda is 0.5374462219978543 the regulation term lambda/alpha is 1.5336379595105516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28444862416136935 the lambda is 0.5442702549904692 the regulation term lambda/alpha is 1.9134219987708625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34781871439092166 the lambda is 0.5993965190657315 the regulation term lambda/alpha is 1.723301519630297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35023588712332415 the lambda is 0.4974895513521282 the regulation term lambda/alpha is 1.4204413929088695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3285442237824855 the lambda is 0.5547675786641455 the regulation term lambda/alpha is 1.6885628737500873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34393995962133844 the lambda is 0.4798919983385248 the regulation term lambda/alpha is 1.3952784051811342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3560585385872732 the lambda is 0.5342505574384235 the regulation term lambda/alpha is 1.500457086517738 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.311954432376366 the lambda is 0.48627086218765136 the regulation term lambda/alpha is 1.5587881168521962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2773550169423535 the lambda is 0.4889786602213353 the regulation term lambda/alpha is 1.7630063649541499 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3384697941302051 the lambda is 0.5231839038026799 the regulation term lambda/alpha is 1.5457329217431366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3179749180686825 the lambda is 0.5167517569067808 the regulation term lambda/alpha is 1.6251337056565025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090790837949928 the lambda is 0.5157335200147032 the regulation term lambda/alpha is 1.6686134619086062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3565536777047658 the lambda is 0.5208031090185213 the regulation term lambda/alpha is 1.4606583568877325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34788193036265885 the lambda is 0.4912267693169256 the regulation term lambda/alpha is 1.4120502574101308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3083243750012121 the lambda is 0.5427660394954967 the regulation term lambda/alpha is 1.7603734362337162 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2644804979785765 the lambda is 0.48167872821579216 the regulation term lambda/alpha is 1.8212258820490017 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2788363126578409 the lambda is 0.5432695186703858 the regulation term lambda/alpha is 1.9483456566040231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3165966141917015 the lambda is 0.48801857688264394 the regulation term lambda/alpha is 1.5414522929393846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2888744899100849 the lambda is 0.4781587169384645 the regulation term lambda/alpha is 1.655247291262362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30103763142512946 the lambda is 0.5038994685618768 the regulation term lambda/alpha is 1.6738753430140536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3194318953022101 the lambda is 0.5104063084034747 the regulation term lambda/alpha is 1.5978564317147677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3334602365146035 the lambda is 0.5237251603039302 the regulation term lambda/alpha is 1.5705775470503343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28646421703489 the lambda is 0.47496301672672075 the regulation term lambda/alpha is 1.6580186581169838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4016018851539425 the lambda is 0.5483120491695335 the regulation term lambda/alpha is 1.3653124386090814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28778287905352795 the lambda is 0.5125955667035205 the regulation term lambda/alpha is 1.7811885418248843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3264975657023372 the lambda is 0.5387001776880233 the regulation term lambda/alpha is 1.649936276030762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30719820885583227 the lambda is 0.527736529980573 the regulation term lambda/alpha is 1.7179023665083901 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3078738552091794 the lambda is 0.582169764052244 the regulation term lambda/alpha is 1.890936025264955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28369527617657825 the lambda is 0.48292724152978544 the regulation term lambda/alpha is 1.7022745251112352 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3293284601644284 the lambda is 0.48765458262654815 the regulation term lambda/alpha is 1.4807544491692886 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3537534704205314 the lambda is 0.5114513399171461 the regulation term lambda/alpha is 1.445784657063995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314185257603575 the lambda is 0.5062436879590967 the regulation term lambda/alpha is 1.5275057023370864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28428247742394075 the lambda is 0.5222197187924438 the regulation term lambda/alpha is 1.8369747003916648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3309220036662648 the lambda is 0.5175202192826327 the regulation term lambda/alpha is 1.5638737030147818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3140176400937933 the lambda is 0.4834933384255348 the regulation term lambda/alpha is 1.5397012036684345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34039330079515334 the lambda is 0.5538275272788246 the regulation term lambda/alpha is 1.6270224060963958 800 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28072372662294454 the lambda is 0.45938656025528224 the regulation term lambda/alpha is 1.636436527049634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321832039326988 the lambda is 0.5027816876208683 the regulation term lambda/alpha is 1.5622487079666785 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282520833658548 the lambda is 0.4482127902181429 the regulation term lambda/alpha is 1.3654529946077612 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2929985763565583 the lambda is 0.5315527981513876 the regulation term lambda/alpha is 1.8141821873718795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33201883431446805 the lambda is 0.5080890051075997 the regulation term lambda/alpha is 1.53030175579247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3229275167166958 the lambda is 0.4983068240283319 the regulation term lambda/alpha is 1.5430918649942622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31716954315983403 the lambda is 0.5188967471592675 the regulation term lambda/alpha is 1.6360232511284203 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3219231069755194 the lambda is 0.5024225817233311 the regulation term lambda/alpha is 1.5606912670656405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32197196457240274 the lambda is 0.47561077462394635 the regulation term lambda/alpha is 1.4771807081265127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32184867904048425 the lambda is 0.5391520045762631 the regulation term lambda/alpha is 1.675172339322993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33556826402023365 the lambda is 0.5044363144207137 the regulation term lambda/alpha is 1.5032300980354263 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2876759899612128 the lambda is 0.4816838036640422 the regulation term lambda/alpha is 1.6743969621134782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31157155053008007 the lambda is 0.5047466826643273 the regulation term lambda/alpha is 1.6200024739280474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3437427662198054 the lambda is 0.4865616323643149 the regulation term lambda/alpha is 1.4154818084322518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3108217899294179 the lambda is 0.5293297356882282 the regulation term lambda/alpha is 1.7030007317325775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36242615138857387 the lambda is 0.48267584696000765 the regulation term lambda/alpha is 1.3317908906703273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3284809618997964 the lambda is 0.5237739761093229 the regulation term lambda/alpha is 1.5945337382112905 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32434852960382393 the lambda is 0.5111153557408916 the regulation term lambda/alpha is 1.5758214053419461 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3053838668979622 the lambda is 0.5593084638460228 the regulation term lambda/alpha is 1.831493161467185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2916508966508927 the lambda is 0.49363836726102167 the regulation term lambda/alpha is 1.6925659167504934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33425188810010004 the lambda is 0.5713238804640004 the regulation term lambda/alpha is 1.7092614905226902 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32390423286705283 the lambda is 0.5023753194785718 the regulation term lambda/alpha is 1.5509995501811575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3040910195859815 the lambda is 0.509403806307336 the regulation term lambda/alpha is 1.6751688589846778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30166992051478314 the lambda is 0.5553139924659946 the regulation term lambda/alpha is 1.8408000092232655 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28842304713078765 the lambda is 0.4903866902305706 the regulation term lambda/alpha is 1.7002340662748805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33634831766614504 the lambda is 0.4920695500041568 the regulation term lambda/alpha is 1.4629760999505834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3726865415049924 the lambda is 0.5701758153077787 the regulation term lambda/alpha is 1.5299071788460084 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3134010595312307 the lambda is 0.5059643409486521 the regulation term lambda/alpha is 1.6144308564414163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3481284639948947 the lambda is 0.5202423684302667 the regulation term lambda/alpha is 1.4943976785474686 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3091621943763058 the lambda is 0.5033506860665619 the regulation term lambda/alpha is 1.6281120241173273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31661256061496745 the lambda is 0.5339297920376465 the regulation term lambda/alpha is 1.6863822174350136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197059742953797 the lambda is 0.519584353540512 the regulation term lambda/alpha is 1.6251943827000948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37044660313679634 the lambda is 0.5769702954036392 the regulation term lambda/alpha is 1.557499219909378 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35630899147975276 the lambda is 0.4893636779347518 the regulation term lambda/alpha is 1.3734250036812776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33535643905846285 the lambda is 0.5152594844185737 the regulation term lambda/alpha is 1.536453231269993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3141589066682469 the lambda is 0.4817197193504103 the regulation term lambda/alpha is 1.533363241103676 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29948439890085066 the lambda is 0.47237663046961176 the regulation term lambda/alpha is 1.5772996263020698 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3049411742497441 the lambda is 0.5139986090647362 the regulation term lambda/alpha is 1.6855664386068636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2922535148574085 the lambda is 0.4914844849249222 the regulation term lambda/alpha is 1.6817059844933573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36662498056760234 the lambda is 0.5484317704825996 the regulation term lambda/alpha is 1.4958930775353256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.345893111130707 the lambda is 0.4937661818084961 the regulation term lambda/alpha is 1.4275108868008373 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3029920063361388 the lambda is 0.5002499185625 the regulation term lambda/alpha is 1.6510333873545284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31727114017106334 the lambda is 0.4777750097577538 the regulation term lambda/alpha is 1.5058886525265154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2865773388735332 the lambda is 0.4761997231578938 the regulation term lambda/alpha is 1.661679618596923 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32976546112550087 the lambda is 0.602260682342556 the regulation term lambda/alpha is 1.8263303873213999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3461738205939378 the lambda is 0.5509466192056434 the regulation term lambda/alpha is 1.5915317289458009 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2991468220431138 the lambda is 0.5567348966386495 the regulation term lambda/alpha is 1.861075751486377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28950106640857914 the lambda is 0.5245070084951442 the regulation term lambda/alpha is 1.8117619219920111 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2792409037829411 the lambda is 0.46582578525283214 the regulation term lambda/alpha is 1.6681860678080558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3239929378470394 the lambda is 0.5165986704355511 the regulation term lambda/alpha is 1.594475095254832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28073162493345694 the lambda is 0.47306188991454423 the regulation term lambda/alpha is 1.6851036644933615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31293916442887754 the lambda is 0.5309573588194209 the regulation term lambda/alpha is 1.6966791605915879 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30111855668428894 the lambda is 0.5276267580137181 the regulation term lambda/alpha is 1.7522226588211038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3388386272550588 the lambda is 0.553156386865394 the regulation term lambda/alpha is 1.63250687014798 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2871888182084584 the lambda is 0.4805673992574937 the regulation term lambda/alpha is 1.673349966253456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31378085113195997 the lambda is 0.49892904998361265 the regulation term lambda/alpha is 1.5900557608398767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33319289093205995 the lambda is 0.4728715747167758 the regulation term lambda/alpha is 1.4192126770591789 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28559015000101834 the lambda is 0.524226800086387 the regulation term lambda/alpha is 1.8355913188340625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.325172055293232 the lambda is 0.48179528165579594 the regulation term lambda/alpha is 1.4816626269478324 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2896970112168008 the lambda is 0.44598337608632854 the regulation term lambda/alpha is 1.5394821445105196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2947607198239304 the lambda is 0.4996136589399372 the regulation term lambda/alpha is 1.6949804547850602 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2764219612376849 the lambda is 0.49462863234959614 the regulation term lambda/alpha is 1.7893970151101108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36101303029974313 the lambda is 0.5329499162768174 the regulation term lambda/alpha is 1.476262271847412 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33250613930474704 the lambda is 0.4863992606585778 the regulation term lambda/alpha is 1.4628279095105228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30359781825212284 the lambda is 0.5220197080880646 the regulation term lambda/alpha is 1.7194448599579635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3520603692220898 the lambda is 0.6100523094764101 the regulation term lambda/alpha is 1.7328059696817837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33267190106093636 the lambda is 0.5464588940938613 the regulation term lambda/alpha is 1.642636159985646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28164949897217156 the lambda is 0.4682346445337217 the regulation term lambda/alpha is 1.662472847430791 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989930560413739 the lambda is 0.5166524342412551 the regulation term lambda/alpha is 1.7279746930636477 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.332059405126022 the lambda is 0.49362368313497135 the regulation term lambda/alpha is 1.4865523322479997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30823288892999046 the lambda is 0.5583605016165347 the regulation term lambda/alpha is 1.811489045036191 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31011972770781715 the lambda is 0.48191352771629664 the regulation term lambda/alpha is 1.5539595990176316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29127210794996644 the lambda is 0.4974499450631679 the regulation term lambda/alpha is 1.707853005783231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3565633568693192 the lambda is 0.5134543021373715 the regulation term lambda/alpha is 1.440008605050106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3034956566458626 the lambda is 0.5873837217342472 the regulation term lambda/alpha is 1.9353941609109837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29167105221251366 the lambda is 0.48296218322538237 the regulation term lambda/alpha is 1.6558454449346334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34393089798841087 the lambda is 0.47626472486332283 the regulation term lambda/alpha is 1.3847686487283009 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3238154219192292 the lambda is 0.49246481067306824 the regulation term lambda/alpha is 1.5208195080835467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34011097716225047 the lambda is 0.5424408952970758 the regulation term lambda/alpha is 1.5948938191380502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323475332279388 the lambda is 0.5344632078268118 the regulation term lambda/alpha is 1.6522533698649762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3348350717716173 the lambda is 0.5275274587599681 the regulation term lambda/alpha is 1.5754844794746634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36142802482846026 the lambda is 0.5626705206814854 the regulation term lambda/alpha is 1.5567982614202043 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3588285059233942 the lambda is 0.5197299225248526 the regulation term lambda/alpha is 1.448407565021629 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3251333563668265 the lambda is 0.49314993297465975 the regulation term lambda/alpha is 1.5167620403065358 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3580699428419235 the lambda is 0.5529744268254221 the regulation term lambda/alpha is 1.5443195886160785 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3225639431934849 the lambda is 0.5122438797957771 the regulation term lambda/alpha is 1.5880382497944467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.380410550950562 the lambda is 0.5282415800577115 the regulation term lambda/alpha is 1.3886091716903026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34906600240324426 the lambda is 0.5458490065454329 the regulation term lambda/alpha is 1.5637415353754878 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29840272034275045 the lambda is 0.463280877325956 the regulation term lambda/alpha is 1.5525357034072065 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3406358397218 the lambda is 0.5485051358385419 the regulation term lambda/alpha is 1.6102390643524487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3296245200973151 the lambda is 0.5407552579019177 the regulation term lambda/alpha is 1.6405189084303269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34122832111911316 the lambda is 0.5373744634642736 the regulation term lambda/alpha is 1.574823747635799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3368662786552049 the lambda is 0.4971374467798499 the regulation term lambda/alpha is 1.4757708867876576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30124562187752835 the lambda is 0.48321898078165904 the regulation term lambda/alpha is 1.6040697214783493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28222818160243096 the lambda is 0.4912660509264685 the regulation term lambda/alpha is 1.7406697238283062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3338144075892992 the lambda is 0.5210907302102691 the regulation term lambda/alpha is 1.561019292047397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33776599535512974 the lambda is 0.5689108213145136 the regulation term lambda/alpha is 1.6843342110752044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34690359686052913 the lambda is 0.4598518786682413 the regulation term lambda/alpha is 1.3255898261934784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33867542614537405 the lambda is 0.5337337614190621 the regulation term lambda/alpha is 1.5759447548165502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30767182357858175 the lambda is 0.5358446514836909 the regulation term lambda/alpha is 1.7416110622389573 810 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3039643616329039 the lambda is 0.5209666378223463 the regulation term lambda/alpha is 1.7139069693029174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2742031714721512 the lambda is 0.47134151200953567 the regulation term lambda/alpha is 1.7189498920781316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2610227201064123 the lambda is 0.5016559915723272 the regulation term lambda/alpha is 1.9218863069383954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2900047538481018 the lambda is 0.49116924524179734 the regulation term lambda/alpha is 1.6936592891131057 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.273514015151319 the lambda is 0.4817232758990679 the regulation term lambda/alpha is 1.7612379959124183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3153896327104519 the lambda is 0.4941413949030036 the regulation term lambda/alpha is 1.5667648636905493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2662075067873464 the lambda is 0.5486189055827146 the regulation term lambda/alpha is 2.0608694029840637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099187686708702 the lambda is 0.49905162863207836 the regulation term lambda/alpha is 1.6102659118462905 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3166145893275697 the lambda is 0.47201913000251283 the regulation term lambda/alpha is 1.4908319007187678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3000303337807155 the lambda is 0.48076980361028626 the regulation term lambda/alpha is 1.6024039887969084 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32609865437113456 the lambda is 0.5197261780246775 the regulation term lambda/alpha is 1.5937697719941353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33613704286221885 the lambda is 0.5138353053195903 the regulation term lambda/alpha is 1.528648258889483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3461361805001427 the lambda is 0.5043858520574235 the regulation term lambda/alpha is 1.457189050068736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3433641519240976 the lambda is 0.5142151932424824 the regulation term lambda/alpha is 1.4975797279972092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3644322795978908 the lambda is 0.5342309081689554 the regulation term lambda/alpha is 1.4659264233081049 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32572529385014076 the lambda is 0.5317310235741253 the regulation term lambda/alpha is 1.6324523566744047 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2688259855770196 the lambda is 0.49186902689274464 the regulation term lambda/alpha is 1.829693010655112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3182534224894052 the lambda is 0.48544448768987963 the regulation term lambda/alpha is 1.5253394099981448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2853311194792481 the lambda is 0.5365332766316694 the regulation term lambda/alpha is 1.880388222675764 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3111981432381343 the lambda is 0.5450720795385715 the regulation term lambda/alpha is 1.7515274155137641 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3125032792904804 the lambda is 0.5162444927648614 the regulation term lambda/alpha is 1.6519650415732052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2805393866801154 the lambda is 0.49923312739144504 the regulation term lambda/alpha is 1.7795473687289936 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3461681055923305 the lambda is 0.5334237748137887 the regulation term lambda/alpha is 1.5409385388091827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2890028185322689 the lambda is 0.5043462225889435 the regulation term lambda/alpha is 1.7451256190175537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129121143114952 the lambda is 0.4572992570957285 the regulation term lambda/alpha is 1.4614303383617164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3302286668158995 the lambda is 0.552615723549234 the regulation term lambda/alpha is 1.6734335297950191 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3098473725537269 the lambda is 0.5007985601809638 the regulation term lambda/alpha is 1.6162749938895362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34046131860132567 the lambda is 0.4596501307197316 the regulation term lambda/alpha is 1.3500803339658505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.339920286004225 the lambda is 0.5192901509294034 the regulation term lambda/alpha is 1.5276821428743708 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36092477566740433 the lambda is 0.48803992804504165 the regulation term lambda/alpha is 1.352192924807066 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2964839578465527 the lambda is 0.49950398729475837 the regulation term lambda/alpha is 1.6847589020424507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3350399599185575 the lambda is 0.517460031365493 the regulation term lambda/alpha is 1.5444725801999222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26839283565069594 the lambda is 0.49922479359268357 the regulation term lambda/alpha is 1.8600526067782506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3218463509020595 the lambda is 0.522734834231096 the regulation term lambda/alpha is 1.6241751157531954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3330085402208126 the lambda is 0.5783549648344009 the regulation term lambda/alpha is 1.7367571547891925 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3552558120066429 the lambda is 0.5255107039833169 the regulation term lambda/alpha is 1.4792459017489357 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2659458408315876 the lambda is 0.44592983189837926 the regulation term lambda/alpha is 1.6767693395918455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3069830317357836 the lambda is 0.560386316527994 the regulation term lambda/alpha is 1.8254634901459679 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2917391166170553 the lambda is 0.5093440178445328 the regulation term lambda/alpha is 1.7458886684472674 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3354308264707859 the lambda is 0.5206316332232765 the regulation term lambda/alpha is 1.552128165145312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35293935613139843 the lambda is 0.5008695574823738 the regulation term lambda/alpha is 1.41913773225081 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3342659085644155 the lambda is 0.5327509978518224 the regulation term lambda/alpha is 1.5937939951455067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3260508011334734 the lambda is 0.5115980997540188 the regulation term lambda/alpha is 1.569074812806821 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.293498314491544 the lambda is 0.5061501248343973 the regulation term lambda/alpha is 1.7245418451933903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32041236539146306 the lambda is 0.5432327273278768 the regulation term lambda/alpha is 1.6954174869755212 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3055275824171895 the lambda is 0.4649751484290457 the regulation term lambda/alpha is 1.5218761748133591 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.360696323159253 the lambda is 0.47396494340649764 the regulation term lambda/alpha is 1.3140276542193496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31872939168259146 the lambda is 0.4835532622919496 the regulation term lambda/alpha is 1.5171279301831662 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34910077798369343 the lambda is 0.5079814765580121 the regulation term lambda/alpha is 1.4551141349267918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3830754952581824 the lambda is 0.5238749644087389 the regulation term lambda/alpha is 1.3675501849985512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31119018117476144 the lambda is 0.5656602829446902 the regulation term lambda/alpha is 1.81773178321144 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32258033260740837 the lambda is 0.5690605045766719 the regulation term lambda/alpha is 1.7640892734438296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3290785682169763 the lambda is 0.5446937722135025 the regulation term lambda/alpha is 1.6552088917998493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32623552310481113 the lambda is 0.48637255859630374 the regulation term lambda/alpha is 1.4908632694792243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2656587239062497 the lambda is 0.49884001132572525 the regulation term lambda/alpha is 1.8777475250606286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2709414444271709 the lambda is 0.5330216930762207 the regulation term lambda/alpha is 1.9672947939107082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34820864812969243 the lambda is 0.4990647786281899 the regulation term lambda/alpha is 1.4332348760112075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3091004534263539 the lambda is 0.4334660739771695 the regulation term lambda/alpha is 1.402346936642223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196443008840369 the lambda is 0.49175239672535426 the regulation term lambda/alpha is 1.5384363036203674 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3268488607569638 the lambda is 0.5477907319798478 the regulation term lambda/alpha is 1.6759756503700058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3503811708483785 the lambda is 0.5266508333460513 the regulation term lambda/alpha is 1.5030797233506321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3365622813913322 the lambda is 0.5532205040548126 the regulation term lambda/alpha is 1.6437388698692728 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2994266576217471 the lambda is 0.4649857923946873 the regulation term lambda/alpha is 1.5529204917422015 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31522327272974887 the lambda is 0.5292127139456999 the regulation term lambda/alpha is 1.678850388687548 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919986667429274 the lambda is 0.4884702069357863 the regulation term lambda/alpha is 1.6728508125889163 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33221417441549556 the lambda is 0.4635461503841522 the regulation term lambda/alpha is 1.395323216415208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31072383329405473 the lambda is 0.5151127884024395 the regulation term lambda/alpha is 1.657783321419572 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32052925644701147 the lambda is 0.5974217192031398 the regulation term lambda/alpha is 1.8638601849497722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3715884418530172 the lambda is 0.5669238933872439 the regulation term lambda/alpha is 1.5256768767083777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28645829667491013 the lambda is 0.5394752782857889 the regulation term lambda/alpha is 1.8832593942915796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3261537898725301 the lambda is 0.5644669799604748 the regulation term lambda/alpha is 1.7306773598463598 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3209157177342167 the lambda is 0.5296196681266698 the regulation term lambda/alpha is 1.6503388237446892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3440684121814508 the lambda is 0.5047054127076676 the regulation term lambda/alpha is 1.466875176095799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3152015145795467 the lambda is 0.5528097644529482 the regulation term lambda/alpha is 1.753829657799556 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4277356919068076 the lambda is 0.5660020737233376 the regulation term lambda/alpha is 1.323251915686883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32578519812623546 the lambda is 0.4817742524842529 the regulation term lambda/alpha is 1.4788095200616656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3352431556753028 the lambda is 0.49086023537395174 the regulation term lambda/alpha is 1.4641916682390699 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3350859209929056 the lambda is 0.5350970672789366 the regulation term lambda/alpha is 1.5968951058682817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.297345449779372 the lambda is 0.5310950820750151 the regulation term lambda/alpha is 1.786121437099789 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2685879759228563 the lambda is 0.46114237846077855 the regulation term lambda/alpha is 1.716913710959375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.339974437200806 the lambda is 0.5539426115083085 the regulation term lambda/alpha is 1.6293654783848415 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.349657184854889 the lambda is 0.5547147625912091 the regulation term lambda/alpha is 1.5864532079368565 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3302630410285461 the lambda is 0.4797596890033722 the regulation term lambda/alpha is 1.4526593333278985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3019805661513305 the lambda is 0.5125442044999328 the regulation term lambda/alpha is 1.6972754605774307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33819733899315807 the lambda is 0.5409257957930899 the regulation term lambda/alpha is 1.5994383557347656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3009891485364402 the lambda is 0.5154222514403313 the regulation term lambda/alpha is 1.7124280192378099 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29789132788414235 the lambda is 0.475232037146475 the regulation term lambda/alpha is 1.5953201475247545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36276738586094265 the lambda is 0.5812906454926992 the regulation term lambda/alpha is 1.60237846109882 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31549154895261566 the lambda is 0.4972307892035083 the regulation term lambda/alpha is 1.5760510570068818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3280540448591536 the lambda is 0.5149341572586063 the regulation term lambda/alpha is 1.569662576419954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3168640524993724 the lambda is 0.5616215046924539 the regulation term lambda/alpha is 1.7724367919379755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.277923834758055 the lambda is 0.45954458858094327 the regulation term lambda/alpha is 1.6534911047877459 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34459960257601135 the lambda is 0.5021095989956986 the regulation term lambda/alpha is 1.4570811900020806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33846224111622375 the lambda is 0.5147974293697205 the regulation term lambda/alpha is 1.5209892473439761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32395280288300693 the lambda is 0.4563782271488902 the regulation term lambda/alpha is 1.408779992293222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28420076129497474 the lambda is 0.5137469223957493 the regulation term lambda/alpha is 1.8076901696351415 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2925756838888545 the lambda is 0.4701282107448354 the regulation term lambda/alpha is 1.6068601617741776 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3200802551358436 the lambda is 0.5050364657223184 the regulation term lambda/alpha is 1.577843236559464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3485175081069458 the lambda is 0.5391318646231191 the regulation term lambda/alpha is 1.546929069794914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3203006893734198 the lambda is 0.4806485127181546 the regulation term lambda/alpha is 1.5006165414704888 820 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31346220278436865 the lambda is 0.4792473030744433 the regulation term lambda/alpha is 1.528883861650518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32384730393604333 the lambda is 0.5463907402623545 the regulation term lambda/alpha is 1.6871863178155755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3312233811279246 the lambda is 0.5028136026808898 the regulation term lambda/alpha is 1.518049845903523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066983745168514 the lambda is 0.5197660577220923 the regulation term lambda/alpha is 1.6947140934179747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31365380344187654 the lambda is 0.49675866402203145 the regulation term lambda/alpha is 1.583780137753331 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32285701443828657 the lambda is 0.5170256076668682 the regulation term lambda/alpha is 1.6014073863824834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31459318802312375 the lambda is 0.5128669601345766 the regulation term lambda/alpha is 1.6302544990162946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32085194531413896 the lambda is 0.5488563565499914 the regulation term lambda/alpha is 1.710621875808228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023695494045164 the lambda is 0.533603481282536 the regulation term lambda/alpha is 1.7647394796645675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28689542895100906 the lambda is 0.4806455019282391 the regulation term lambda/alpha is 1.675333426139443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2900421768478586 the lambda is 0.49590252444712524 the regulation term lambda/alpha is 1.709760041924008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37727997480731695 the lambda is 0.49806828571540207 the regulation term lambda/alpha is 1.320155637652843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322961065385997 the lambda is 0.49427382876476733 the regulation term lambda/alpha is 1.5304440124199508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31063541362160507 the lambda is 0.5096776511087429 the regulation term lambda/alpha is 1.6407583577370142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3065032562636021 the lambda is 0.4860468666657166 the regulation term lambda/alpha is 1.5857804337572896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29949331138479496 the lambda is 0.5281267290738922 the regulation term lambda/alpha is 1.7634007471884556 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.276642892540165 the lambda is 0.4797726279848991 the regulation term lambda/alpha is 1.7342669590372444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29753228369400186 the lambda is 0.5052867898874921 the regulation term lambda/alpha is 1.6982587019268003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3043709473775712 the lambda is 0.5160546689089925 the regulation term lambda/alpha is 1.6954793923509013 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27579446628904924 the lambda is 0.5058991062068436 the regulation term lambda/alpha is 1.83433378128998 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3437140984795005 the lambda is 0.513912810580338 the regulation term lambda/alpha is 1.4951752426035219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3439487404313237 the lambda is 0.5762010216522665 the regulation term lambda/alpha is 1.6752525999359393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30698445419985 the lambda is 0.45953712283021647 the regulation term lambda/alpha is 1.4969393939767814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32569268408227314 the lambda is 0.5259478287598963 the regulation term lambda/alpha is 1.6148592045961854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.291082454697019 the lambda is 0.5261101786104903 the regulation term lambda/alpha is 1.8074266247277122 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2952281969489184 the lambda is 0.46902270198906826 the regulation term lambda/alpha is 1.588678543703671 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3366763958349047 the lambda is 0.5231745881769807 the regulation term lambda/alpha is 1.5539390187410962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3172153728592658 the lambda is 0.5691334424359784 the regulation term lambda/alpha is 1.7941546694474901 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989667475949138 the lambda is 0.5003135733132759 the regulation term lambda/alpha is 1.673475653523775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26700755663964854 the lambda is 0.5004278305387498 the regulation term lambda/alpha is 1.874208493709875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3360432711879155 the lambda is 0.53242509699993 the regulation term lambda/alpha is 1.5843944594331656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190927099002021 the lambda is 0.4790507809382438 the regulation term lambda/alpha is 1.501290271056551 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2857832299286175 the lambda is 0.4693156707028387 the regulation term lambda/alpha is 1.6422085747300976 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3053248911034173 the lambda is 0.5216880306605947 the regulation term lambda/alpha is 1.7086324956188799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31130038881958544 the lambda is 0.4747545560298836 the regulation term lambda/alpha is 1.5250689465249214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3529487587864943 the lambda is 0.5046995408087357 the regulation term lambda/alpha is 1.4299513123207737 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28614049974971406 the lambda is 0.5340332878798617 the regulation term lambda/alpha is 1.8663324078450219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224704256227176 the lambda is 0.5081560917572573 the regulation term lambda/alpha is 1.5758223123127182 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3010615744266763 the lambda is 0.47310904472497234 the regulation term lambda/alpha is 1.5714693767410637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33624685347924116 the lambda is 0.5452890726581388 the regulation term lambda/alpha is 1.6216927147893838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3498400788621459 the lambda is 0.5248088936514882 the regulation term lambda/alpha is 1.5001394218707815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3170453462710786 the lambda is 0.49259946190211157 the regulation term lambda/alpha is 1.5537192634927735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34086429105273713 the lambda is 0.5370972711396406 the regulation term lambda/alpha is 1.575692395002277 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3072300274170285 the lambda is 0.5356928959349702 the regulation term lambda/alpha is 1.7436215477982244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3189490025339762 the lambda is 0.5283190578163219 the regulation term lambda/alpha is 1.6564374041584988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2941369866208028 the lambda is 0.4377316768531189 the regulation term lambda/alpha is 1.488189846105401 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3135695045968542 the lambda is 0.5286378494089148 the regulation term lambda/alpha is 1.6858713671425631 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3165550057978764 the lambda is 0.5225858088178268 the regulation term lambda/alpha is 1.6508530879195864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3687379326028801 the lambda is 0.5386897411317779 the regulation term lambda/alpha is 1.4609013434805225 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33288747408577274 the lambda is 0.48424404002732435 the regulation term lambda/alpha is 1.4546778648167238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215306528589136 the lambda is 0.491149954123374 the regulation term lambda/alpha is 1.527536954117058 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32646827079014673 the lambda is 0.4828678753395916 the regulation term lambda/alpha is 1.4790652524084897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3004210098633823 the lambda is 0.4936912720693988 the regulation term lambda/alpha is 1.6433313778350818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32026266307754203 the lambda is 0.48637344736170895 the regulation term lambda/alpha is 1.5186704646989966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2786606322862078 the lambda is 0.5604100482983035 the regulation term lambda/alpha is 2.0110843921530885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31948218538627987 the lambda is 0.4529244978089882 the regulation term lambda/alpha is 1.417683108876214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2850381424660703 the lambda is 0.5429668638071354 the regulation term lambda/alpha is 1.904891952738458 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090275302448876 the lambda is 0.47167012240356243 the regulation term lambda/alpha is 1.526304540018779 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2893738783509873 the lambda is 0.5026320649593609 the regulation term lambda/alpha is 1.7369641925651231 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26735909117919415 the lambda is 0.47072642051580066 the regulation term lambda/alpha is 1.760652381183859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3388005348122231 the lambda is 0.49239016061577867 the regulation term lambda/alpha is 1.453333480977771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29759293540303006 the lambda is 0.5031630677129463 the regulation term lambda/alpha is 1.6907762512289233 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2972702275333438 the lambda is 0.49009506499038696 the regulation term lambda/alpha is 1.6486516966634832 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3113731107256354 the lambda is 0.5228628593088958 the regulation term lambda/alpha is 1.6792164811225891 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32836617488404163 the lambda is 0.46880792827037704 the regulation term lambda/alpha is 1.4276986003078138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30548274324347874 the lambda is 0.5056790206960716 the regulation term lambda/alpha is 1.6553439822066498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3350877398084944 the lambda is 0.5314695735646571 the regulation term lambda/alpha is 1.5860609339762675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33591057060821033 the lambda is 0.550828091914974 the regulation term lambda/alpha is 1.6398057700822786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3052612027784891 the lambda is 0.5448388027890623 the regulation term lambda/alpha is 1.784828199030655 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31074126145371517 the lambda is 0.4927608811331348 the regulation term lambda/alpha is 1.585759415495362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39275468847851575 the lambda is 0.5701772551654426 the regulation term lambda/alpha is 1.4517388891632088 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3492421728693886 the lambda is 0.5198400873566406 the regulation term lambda/alpha is 1.4884802802754669 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32610444008633865 the lambda is 0.46988326351694404 the regulation term lambda/alpha is 1.44089808587868 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222870206296614 the lambda is 0.5032244659913048 the regulation term lambda/alpha is 1.561417102705969 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314389422926334 the lambda is 0.5592313949844079 the regulation term lambda/alpha is 1.6872833080991807 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3192714395166134 the lambda is 0.5086543923508775 the regulation term lambda/alpha is 1.5931722333854716 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3136118981647704 the lambda is 0.49739124704505744 the regulation term lambda/alpha is 1.5860088534770134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32883629650599583 the lambda is 0.5398834921382293 the regulation term lambda/alpha is 1.6418001840876022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30094160233045897 the lambda is 0.4894937902499555 the regulation term lambda/alpha is 1.6265407855190805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2907482506058768 the lambda is 0.47032085866642914 the regulation term lambda/alpha is 1.6176223165104153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3414932804832484 the lambda is 0.5221652418620293 the regulation term lambda/alpha is 1.5290644697989704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29705021977683205 the lambda is 0.5131434847427134 the regulation term lambda/alpha is 1.7274637437677305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3435519687023451 the lambda is 0.5088653563101889 the regulation term lambda/alpha is 1.4811888816479815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3215985159042717 the lambda is 0.4896728401834943 the regulation term lambda/alpha is 1.522621579290037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.346338775363676 the lambda is 0.5152605345160932 the regulation term lambda/alpha is 1.48773562525605 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27977077681908485 the lambda is 0.5219457107026885 the regulation term lambda/alpha is 1.8656191208998474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31572000986606197 the lambda is 0.521963211229849 the regulation term lambda/alpha is 1.6532471649525213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35782101974483993 the lambda is 0.5663644550685726 the regulation term lambda/alpha is 1.5828149376815364 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27067025114416576 the lambda is 0.482539775143342 the regulation term lambda/alpha is 1.78275881114962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197095750824376 the lambda is 0.5178819315117935 the regulation term lambda/alpha is 1.6198511770511 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3533249460899683 the lambda is 0.5251855117919872 the regulation term lambda/alpha is 1.486409373591916 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32052010081453763 the lambda is 0.5346420227006821 the regulation term lambda/alpha is 1.668045221943948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28904017191721426 the lambda is 0.5120589907246187 the regulation term lambda/alpha is 1.7715841619111705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29589153018272607 the lambda is 0.49467343609688064 the regulation term lambda/alpha is 1.671806677911321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30720135912998386 the lambda is 0.5306218128130001 the regulation term lambda/alpha is 1.7272769050103127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30313117827969027 the lambda is 0.54941370931519 the regulation term lambda/alpha is 1.8124618933399916 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3046084396615362 the lambda is 0.5158996565157393 the regulation term lambda/alpha is 1.6936485971596127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2792312585918382 the lambda is 0.5209505869869157 the regulation term lambda/alpha is 1.8656599895515522 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32386176375694564 the lambda is 0.49755124064737344 the regulation term lambda/alpha is 1.536307450671391 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29660272069075105 the lambda is 0.4905205913910589 the regulation term lambda/alpha is 1.6537966686505678 830 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3317447454451371 the lambda is 0.5735340296789281 the regulation term lambda/alpha is 1.7288413382685435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3344571329265353 the lambda is 0.5464545799972785 the regulation term lambda/alpha is 1.6338553620182747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33331060856535055 the lambda is 0.5477887785809278 the regulation term lambda/alpha is 1.643478378737308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29488940680459874 the lambda is 0.493684111835437 the regulation term lambda/alpha is 1.6741330832631933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3294441462836826 the lambda is 0.5044910256763622 the regulation term lambda/alpha is 1.5313400810647508 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31111813449386044 the lambda is 0.47765117962783615 the regulation term lambda/alpha is 1.5352727040643208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2799250620235793 the lambda is 0.4696980918908877 the regulation term lambda/alpha is 1.6779422624592397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28127958122318375 the lambda is 0.47941020291171554 the regulation term lambda/alpha is 1.7043903465261607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30711885071274353 the lambda is 0.48072667298593535 the regulation term lambda/alpha is 1.565278952660486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2586114350034414 the lambda is 0.505874165368856 the regulation term lambda/alpha is 1.956116771720184 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3461951551560519 the lambda is 0.5272182103259757 the regulation term lambda/alpha is 1.522893092158743 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30176097055296836 the lambda is 0.5317790468374299 the regulation term lambda/alpha is 1.7622525731639849 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2960187792657436 the lambda is 0.5230615014804146 the regulation term lambda/alpha is 1.7669875633493137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3044572108553807 the lambda is 0.5031649034816732 the regulation term lambda/alpha is 1.6526621329414992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3335197301034212 the lambda is 0.508677315251285 the regulation term lambda/alpha is 1.525179080390684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33645894517176617 the lambda is 0.5982024930587934 the regulation term lambda/alpha is 1.7779360651368745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099927606865521 the lambda is 0.4720524120370017 the regulation term lambda/alpha is 1.5227852772804444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087044312261026 the lambda is 0.4848693832386072 the regulation term lambda/alpha is 1.5706589675853313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3421734083401291 the lambda is 0.4977990655483131 the regulation term lambda/alpha is 1.4548151709483168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3267981191751227 the lambda is 0.48631833096419586 the regulation term lambda/alpha is 1.48813075237924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.294367419847542 the lambda is 0.5853275943815973 the regulation term lambda/alpha is 1.9884251955761567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336292586515503 the lambda is 0.4947314558286875 the regulation term lambda/alpha is 1.4711339936299206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2656851613727965 the lambda is 0.46808081805171126 the regulation term lambda/alpha is 1.761787582088271 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31410648473892483 the lambda is 0.5403386898768623 the regulation term lambda/alpha is 1.7202404793583754 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31078009299505566 the lambda is 0.5289733464499641 the regulation term lambda/alpha is 1.7020824640089793 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3694854164972181 the lambda is 0.5369496730162745 the regulation term lambda/alpha is 1.4532364446387216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3272703776756973 the lambda is 0.5564533462407543 the regulation term lambda/alpha is 1.700286320420242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2802829944787623 the lambda is 0.4834576460587671 the regulation term lambda/alpha is 1.7248911121341677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.358450762481053 the lambda is 0.4963531869242196 the regulation term lambda/alpha is 1.3847178995761122 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32175110202689894 the lambda is 0.5150595743335032 the regulation term lambda/alpha is 1.6008012749259934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35792406107017993 the lambda is 0.5169308852917739 the regulation term lambda/alpha is 1.444247373999304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3541086688758502 the lambda is 0.5271273673144364 the regulation term lambda/alpha is 1.4886033967704029 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31545244688257135 the lambda is 0.48984268926201135 the regulation term lambda/alpha is 1.5528257716902656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30259459522827326 the lambda is 0.5041156341490224 the regulation term lambda/alpha is 1.6659769939668763 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33886730429120554 the lambda is 0.4954044846066844 the regulation term lambda/alpha is 1.4619424132490477 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322637300374486 the lambda is 0.45990300040895343 the regulation term lambda/alpha is 1.4254489480142027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2928527759597211 the lambda is 0.5201534560408366 the regulation term lambda/alpha is 1.7761602372940404 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32323713086730177 the lambda is 0.5059613038869707 the regulation term lambda/alpha is 1.5652945023035814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3116573740172907 the lambda is 0.4847770699986002 the regulation term lambda/alpha is 1.5554808273899685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34234611763396994 the lambda is 0.5655291062121667 the regulation term lambda/alpha is 1.6519220668271746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.350902664395983 the lambda is 0.5392314793994427 the regulation term lambda/alpha is 1.5366981619465174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2731117906697574 the lambda is 0.5131348757343127 the regulation term lambda/alpha is 1.8788455616505682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32421907594823274 the lambda is 0.48416724361728986 the regulation term lambda/alpha is 1.493333611544176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398260804465335 the lambda is 0.527492733483728 the regulation term lambda/alpha is 1.5522432321574595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32579090666718535 the lambda is 0.48611981056700787 the regulation term lambda/alpha is 1.4921220961627635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32376778496491204 the lambda is 0.5445911641072542 the regulation term lambda/alpha is 1.6820424680802435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29843468026768005 the lambda is 0.5072467218011102 the regulation term lambda/alpha is 1.6996909385535783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29137601886262254 the lambda is 0.5316553328208531 the regulation term lambda/alpha is 1.8246365466044652 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3061169091577943 the lambda is 0.4488054493883671 the regulation term lambda/alpha is 1.4661243334226304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3409884992330701 the lambda is 0.5825089660268771 the regulation term lambda/alpha is 1.7082950519944795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32565667606978477 the lambda is 0.4653114139095323 the regulation term lambda/alpha is 1.4288403957357256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31245331621510897 the lambda is 0.49673785180182617 the regulation term lambda/alpha is 1.5897986227800067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.375166304236512 the lambda is 0.5319728649171493 the regulation term lambda/alpha is 1.4179654700060258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3119919608432664 the lambda is 0.5374779441241627 the regulation term lambda/alpha is 1.7227301071202037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.303890448280266 the lambda is 0.5018018760628363 the regulation term lambda/alpha is 1.6512591261178584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30085125380275063 the lambda is 0.5274279616150165 the regulation term lambda/alpha is 1.7531187088248534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3376120478475476 the lambda is 0.5401221877317215 the regulation term lambda/alpha is 1.5998309040666094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30387873613386523 the lambda is 0.4743230576160476 the regulation term lambda/alpha is 1.5608958482935704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33681736497204334 the lambda is 0.4886601551912446 the regulation term lambda/alpha is 1.450816394908275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3192787972183773 the lambda is 0.5037170600240591 the regulation term lambda/alpha is 1.5776715034400843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2945126428529294 the lambda is 0.5126180856793232 the regulation term lambda/alpha is 1.7405639388299843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32874811954176614 the lambda is 0.5247349462465297 the regulation term lambda/alpha is 1.5961610578273262 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3366920435512379 the lambda is 0.5302572819994605 the regulation term lambda/alpha is 1.5749029184254122 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.319635000613207 the lambda is 0.5231126365358008 the regulation term lambda/alpha is 1.63659372575666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29056011286346717 the lambda is 0.47208626027610223 the regulation term lambda/alpha is 1.6247455840503935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2706523740185036 the lambda is 0.481065312544644 the regulation term lambda/alpha is 1.7774287563121658 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.363915404672108 the lambda is 0.5593183345464511 the regulation term lambda/alpha is 1.53694602472353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32357970463974867 the lambda is 0.5345609261473193 the regulation term lambda/alpha is 1.652022418224476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057261747439283 the lambda is 0.5069646633235874 the regulation term lambda/alpha is 1.6582311401639502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34192887175802883 the lambda is 0.5389643958450446 the regulation term lambda/alpha is 1.5762471097393933 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3116137304611468 the lambda is 0.5610781829962761 the regulation term lambda/alpha is 1.8005566769023789 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3054057808470609 the lambda is 0.47298658987386155 the regulation term lambda/alpha is 1.5487152488142348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3368534689882854 the lambda is 0.5386999004057087 the regulation term lambda/alpha is 1.5992113782400823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3352500502607853 the lambda is 0.49676262146584466 the regulation term lambda/alpha is 1.4817674779747878 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3184418854714672 the lambda is 0.4898326183332844 the regulation term lambda/alpha is 1.5382166752594928 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33098587037291594 the lambda is 0.5345201648852399 the regulation term lambda/alpha is 1.6149334842692997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33475525915572757 the lambda is 0.5164072814948029 the regulation term lambda/alpha is 1.5426412800719318 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323975881116724 the lambda is 0.605432113769114 the regulation term lambda/alpha is 1.868756747206701 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29897797655227204 the lambda is 0.5267199486717619 the regulation term lambda/alpha is 1.7617349436428218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30326043081588294 the lambda is 0.49396503517743984 the regulation term lambda/alpha is 1.6288476338587623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32521467399888493 the lambda is 0.537804512292231 the regulation term lambda/alpha is 1.6536907934667027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29769865059282713 the lambda is 0.4836786990861563 the regulation term lambda/alpha is 1.624725870013098 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35323565329891554 the lambda is 0.49156207735238117 the regulation term lambda/alpha is 1.3915981378482507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3188605470968678 the lambda is 0.5689994979277917 the regulation term lambda/alpha is 1.7844775815269907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3141962614062203 the lambda is 0.5626322892551783 the regulation term lambda/alpha is 1.7907033226208833 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3562312189291262 the lambda is 0.559182222981562 the regulation term lambda/alpha is 1.569717063716456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34079809506223513 the lambda is 0.5230599052656704 the regulation term lambda/alpha is 1.5348087704837416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34152658094045 the lambda is 0.5034002165951394 the regulation term lambda/alpha is 1.473970825957217 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31414143526721755 the lambda is 0.4805973179681002 the regulation term lambda/alpha is 1.5298756038320465 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30699434638424017 the lambda is 0.500387785005028 the regulation term lambda/alpha is 1.6299576552420703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3656088032519571 the lambda is 0.6169464927396286 the regulation term lambda/alpha is 1.6874497748744406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2854440847744106 the lambda is 0.4910752156754139 the regulation term lambda/alpha is 1.7203902335671653 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2927471202663533 the lambda is 0.4912443107546384 the regulation term lambda/alpha is 1.678050019100732 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.267351794629127 the lambda is 0.48547064872997503 the regulation term lambda/alpha is 1.8158495977310518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3270044284388673 the lambda is 0.5391115835063741 the regulation term lambda/alpha is 1.6486369499034468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31569505437334455 the lambda is 0.5074320015763197 the regulation term lambda/alpha is 1.6073485933556149 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34865312167982593 the lambda is 0.5503365180344534 the regulation term lambda/alpha is 1.5784643355060413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33584252615906196 the lambda is 0.5875712508559191 the regulation term lambda/alpha is 1.7495439233851915 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33921802134140167 the lambda is 0.518454529363031 the regulation term lambda/alpha is 1.5283814442194363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3518873179226891 the lambda is 0.49283759246293934 the regulation term lambda/alpha is 1.4005551418344024 840 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387630830082294 the lambda is 0.5415879917519398 the regulation term lambda/alpha is 1.5987219945651023 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36761866725486475 the lambda is 0.5400588245277576 the regulation term lambda/alpha is 1.469073452010919 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3546966442048599 the lambda is 0.5443860114651269 the regulation term lambda/alpha is 1.5347932391226946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35232104747848886 the lambda is 0.5088451443910356 the regulation term lambda/alpha is 1.4442655300691434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2974943767267433 the lambda is 0.4651374029981087 the regulation term lambda/alpha is 1.5635166221153487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3028736747639064 the lambda is 0.49995509957032386 the regulation term lambda/alpha is 1.650705033905785 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919732884350822 the lambda is 0.5344399083780028 the regulation term lambda/alpha is 1.8304411038506045 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3027003868601253 the lambda is 0.4845461272242159 the regulation term lambda/alpha is 1.6007449883046223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2781624621559158 the lambda is 0.5157703490785451 the regulation term lambda/alpha is 1.8542054347701498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38566779361697046 the lambda is 0.5646635809480997 the regulation term lambda/alpha is 1.464119094966225 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33756143323038706 the lambda is 0.5088158427747315 the regulation term lambda/alpha is 1.507328126633064 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30624664018449665 the lambda is 0.5004886785132544 the regulation term lambda/alpha is 1.6342666754212802 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3279120636358762 the lambda is 0.5168043304006676 the regulation term lambda/alpha is 1.5760454942412345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3153438841023137 the lambda is 0.4641884453768006 the regulation term lambda/alpha is 1.4720071286563914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34193766082614646 the lambda is 0.5412132012747434 the regulation term lambda/alpha is 1.582783247587097 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2990657467566309 the lambda is 0.5161302669625227 the regulation term lambda/alpha is 1.7258086977862137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30901540166487357 the lambda is 0.49783483333393463 the regulation term lambda/alpha is 1.6110356657039226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3738277499860034 the lambda is 0.5136567107174115 the regulation term lambda/alpha is 1.3740464979837466 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3473087357316231 the lambda is 0.5103084597744351 the regulation term lambda/alpha is 1.4693222694195842 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301912935301569 the lambda is 0.512712693332901 the regulation term lambda/alpha is 1.5527747199248128 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30765331533734336 the lambda is 0.5241699338287142 the regulation term lambda/alpha is 1.7037681952296186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33140285390339913 the lambda is 0.5177546379238485 the regulation term lambda/alpha is 1.562311947002029 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29894418784735016 the lambda is 0.4969439334012241 the regulation term lambda/alpha is 1.6623301392130712 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27435684748272 the lambda is 0.4992612791504311 the regulation term lambda/alpha is 1.8197514796195362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32128650913187073 the lambda is 0.5257800618840361 the regulation term lambda/alpha is 1.6364834717296888 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3042876934025605 the lambda is 0.5037475355862038 the regulation term lambda/alpha is 1.655497565324687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31605096759025186 the lambda is 0.4835829263492289 the regulation term lambda/alpha is 1.530078930105273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32483381965565267 the lambda is 0.476981402852498 the regulation term lambda/alpha is 1.4683859068557972 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31045224279926403 the lambda is 0.49463883265399444 the regulation term lambda/alpha is 1.5932847776971095 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295176644842561 the lambda is 0.5222641791461827 the regulation term lambda/alpha is 1.584935302219999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32908172841776 the lambda is 0.5245627883432743 the regulation term lambda/alpha is 1.5940197921817056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35712460703256194 the lambda is 0.5648525215349894 the regulation term lambda/alpha is 1.5816678840153047 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29929726773679555 the lambda is 0.46005220347621856 the regulation term lambda/alpha is 1.5371079293673746 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32324852597789433 the lambda is 0.5286355895193395 the regulation term lambda/alpha is 1.635384377763538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3262057679009267 the lambda is 0.5517843258237972 the regulation term lambda/alpha is 1.6915222847665339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3497753045909665 the lambda is 0.5110942265606618 the regulation term lambda/alpha is 1.4612072946611956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3075502672652249 the lambda is 0.5759192602758758 the regulation term lambda/alpha is 1.87260204777912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2943475346546793 the lambda is 0.5071804854843399 the regulation term lambda/alpha is 1.7230668708652532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29621326000847964 the lambda is 0.5346984648699772 the regulation term lambda/alpha is 1.8051131973452859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32839036122981663 the lambda is 0.49223628999911656 the regulation term lambda/alpha is 1.4989364735179789 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322664576078023 the lambda is 0.5223553415159679 the regulation term lambda/alpha is 1.618880348953019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30089967950083957 the lambda is 0.5055080105296003 the regulation term lambda/alpha is 1.6799885309555134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196289884273123 the lambda is 0.5438831841572033 the regulation term lambda/alpha is 1.7016078135881885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31293540224187627 the lambda is 0.4653547094142622 the regulation term lambda/alpha is 1.4870631640921756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26392030351719464 the lambda is 0.41763116085024704 the regulation term lambda/alpha is 1.582413915430489 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073031518696232 the lambda is 0.4874133818403771 the regulation term lambda/alpha is 1.5860995205384931 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37502926846717216 the lambda is 0.5326534918273103 the regulation term lambda/alpha is 1.4202984583160223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3706124895588014 the lambda is 0.5575529151363823 the regulation term lambda/alpha is 1.5044094056304622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2748042840409958 the lambda is 0.5263863999253429 the regulation term lambda/alpha is 1.9154956108574186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3237735691806807 the lambda is 0.53958752706183 the regulation term lambda/alpha is 1.6665582938943206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3176564589859153 the lambda is 0.5032314879890506 the regulation term lambda/alpha is 1.584200395595808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3172704602285348 the lambda is 0.5324848863568408 the regulation term lambda/alpha is 1.6783311184195457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.323787794903741 the lambda is 0.5096071905149381 the regulation term lambda/alpha is 1.5738925263271255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3201489309485879 the lambda is 0.4904598008997628 the regulation term lambda/alpha is 1.5319738830504634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3155770801194349 the lambda is 0.5181267598859282 the regulation term lambda/alpha is 1.641839007097205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2782852050750412 the lambda is 0.43396027762985445 the regulation term lambda/alpha is 1.5594083685219076 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3106549044180425 the lambda is 0.49559665353913124 the regulation term lambda/alpha is 1.5953285993264605 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29381538123881296 the lambda is 0.490408842102877 the regulation term lambda/alpha is 1.6691054091013466 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3304645946354655 the lambda is 0.5062849763611869 the regulation term lambda/alpha is 1.5320399963562459 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31229065483684626 the lambda is 0.4858388204114562 the regulation term lambda/alpha is 1.5557264134761855 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.315749895550901 the lambda is 0.506927298714425 the regulation term lambda/alpha is 1.6054709941549448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36165496694421456 the lambda is 0.574336644197227 the regulation term lambda/alpha is 1.5880789611436987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3470458947522834 the lambda is 0.4984174591878021 the regulation term lambda/alpha is 1.436171603596019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3028364509437104 the lambda is 0.49998728496984424 the regulation term lambda/alpha is 1.651014213816616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3204964512191908 the lambda is 0.4607349993415521 the regulation term lambda/alpha is 1.4375666176298805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32860092651991857 the lambda is 0.5191827839902066 the regulation term lambda/alpha is 1.5799796716602856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2878518090018394 the lambda is 0.4935773129363257 the regulation term lambda/alpha is 1.7146924129046266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30642878028008996 the lambda is 0.5267346466684878 the regulation term lambda/alpha is 1.7189463933088405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3270191248217876 the lambda is 0.5206327660971164 the regulation term lambda/alpha is 1.59205601929502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3029808650229908 the lambda is 0.5194938059131176 the regulation term lambda/alpha is 1.714609290173151 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3031652728073686 the lambda is 0.4824826322499046 the regulation term lambda/alpha is 1.591483839102094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30429906460651723 the lambda is 0.4879473782627013 the regulation term lambda/alpha is 1.6035125802757753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151746263898389 the lambda is 0.5235368736035371 the regulation term lambda/alpha is 1.661100957270511 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3360792209796228 the lambda is 0.4818842612894264 the regulation term lambda/alpha is 1.433841282673778 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3269697539972726 the lambda is 0.5213461245436698 the regulation term lambda/alpha is 1.5944781380237958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31849733402580205 the lambda is 0.5338222827223411 the regulation term lambda/alpha is 1.6760651524922818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33908582456651054 the lambda is 0.5190494168924414 the regulation term lambda/alpha is 1.5307316888165334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875123389519999 the lambda is 0.5190756972912165 the regulation term lambda/alpha is 1.8054032017661545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2583027303511209 the lambda is 0.5077943642408216 the regulation term lambda/alpha is 1.9658884888694637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31391772208603286 the lambda is 0.49334857890830885 the regulation term lambda/alpha is 1.5715856232325134 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26368200148997173 the lambda is 0.4969337905254889 the regulation term lambda/alpha is 1.8845950338570536 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398819286204781 the lambda is 0.506584654213325 the regulation term lambda/alpha is 1.490472459861177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156673169710652 the lambda is 0.5528837453848052 the regulation term lambda/alpha is 1.7514760498169781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32358242498973394 the lambda is 0.5098384652258704 the regulation term lambda/alpha is 1.5756061697171768 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2773971984011928 the lambda is 0.4811258802237612 the regulation term lambda/alpha is 1.7344294859385008 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066392583980025 the lambda is 0.520080087362885 the regulation term lambda/alpha is 1.6960649138012425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30146981794059113 the lambda is 0.5277537296951768 the regulation term lambda/alpha is 1.7506022105309993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3313374434918163 the lambda is 0.5019973233449451 the regulation term lambda/alpha is 1.5150636706030596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2835485606100928 the lambda is 0.5482268227122729 the regulation term lambda/alpha is 1.933449499911723 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32791900912139316 the lambda is 0.516640011324963 the regulation term lambda/alpha is 1.575511016300085 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35285763300636885 the lambda is 0.577598472850517 the regulation term lambda/alpha is 1.636916475149885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3114527796431699 the lambda is 0.5331675950052012 the regulation term lambda/alpha is 1.7118729703297204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2924475911432167 the lambda is 0.520778700337702 the regulation term lambda/alpha is 1.7807590696914564 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31961838761829797 the lambda is 0.532427736720771 the regulation term lambda/alpha is 1.6658232359166367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34455411916912954 the lambda is 0.5212393164124823 the regulation term lambda/alpha is 1.5127937453466467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087441372879313 the lambda is 0.5221827891119293 the regulation term lambda/alpha is 1.691312404176755 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3221083117329181 the lambda is 0.5299666208000174 the regulation term lambda/alpha is 1.6453056363210175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30045942688112964 the lambda is 0.5061481126242627 the regulation term lambda/alpha is 1.6845805700897827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30048679529515926 the lambda is 0.5021125269428038 the regulation term lambda/alpha is 1.670996978251885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32014172723514195 the lambda is 0.4877457570361626 the regulation term lambda/alpha is 1.5235307226224735 850 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919746133114065 the lambda is 0.5514045231979469 the regulation term lambda/alpha is 1.888535845442989 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3225435755192784 the lambda is 0.5013947651999351 the regulation term lambda/alpha is 1.5545024091480213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2988131652908706 the lambda is 0.5426161446831226 the regulation term lambda/alpha is 1.8159044102187714 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34062877103184974 the lambda is 0.5507609624220671 the regulation term lambda/alpha is 1.6168950166883271 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3365911636828122 the lambda is 0.5600033080146078 the regulation term lambda/alpha is 1.6637492852971292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32522440061080343 the lambda is 0.5011144894166654 the regulation term lambda/alpha is 1.5408268520920418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3457146732850983 the lambda is 0.4845505851801462 the regulation term lambda/alpha is 1.401591030475455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32185278076122803 the lambda is 0.44954632365391334 the regulation term lambda/alpha is 1.3967451907380504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33895325620754124 the lambda is 0.5352968807786788 the regulation term lambda/alpha is 1.5792646064769362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089994534096662 the lambda is 0.5385495737411321 the regulation term lambda/alpha is 1.7428819624063614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34081873311634897 the lambda is 0.5333471974259334 the regulation term lambda/alpha is 1.5648998884220924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3289611864642104 the lambda is 0.5030948153076001 the regulation term lambda/alpha is 1.529343995609448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2955911604305339 the lambda is 0.4930053369423465 the regulation term lambda/alpha is 1.6678622467068205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3149685949911436 the lambda is 0.553466675833 the regulation term lambda/alpha is 1.7572122574587559 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34614392603021576 the lambda is 0.5370735404671768 the regulation term lambda/alpha is 1.5515902492545668 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32092751086555893 the lambda is 0.4815970642697055 the regulation term lambda/alpha is 1.5006412599867553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28672437114401905 the lambda is 0.46188388977085765 the regulation term lambda/alpha is 1.6108986059606965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31995907348413877 the lambda is 0.4964947738943909 the regulation term lambda/alpha is 1.5517446293611783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3313732212630159 the lambda is 0.5689436735198562 the regulation term lambda/alpha is 1.7169271293297328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3365161211331664 the lambda is 0.5299790671882123 the regulation term lambda/alpha is 1.5748994889266792 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32675169088980477 the lambda is 0.4886539220707157 the regulation term lambda/alpha is 1.4954901097528261 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30499059847674215 the lambda is 0.519828733165477 the regulation term lambda/alpha is 1.7044090400219922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38551550910402765 the lambda is 0.5500031037354458 the regulation term lambda/alpha is 1.4266692020087648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.318372077009195 the lambda is 0.5233477677989001 the regulation term lambda/alpha is 1.643824335083837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.307387610401866 the lambda is 0.5349867640896404 the regulation term lambda/alpha is 1.7404304727513922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3138313390193881 the lambda is 0.4722620608714264 the regulation term lambda/alpha is 1.5048276005419927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3168566616166677 the lambda is 0.43525220915326257 the regulation term lambda/alpha is 1.3736564884970903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3110648371735801 the lambda is 0.5089479867561704 the regulation term lambda/alpha is 1.6361475999042854 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33407796999133893 the lambda is 0.47682410308138423 the regulation term lambda/alpha is 1.4272838855364993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3505186382528827 the lambda is 0.5200211450048245 the regulation term lambda/alpha is 1.4835763016677412 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3255093564400475 the lambda is 0.48905447413725645 the regulation term lambda/alpha is 1.5024283156890783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33149402101087777 the lambda is 0.5052424094299858 the regulation term lambda/alpha is 1.5241373219621555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3321978453420785 the lambda is 0.5256467733427805 the regulation term lambda/alpha is 1.5823304717750328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3118701193895938 the lambda is 0.5111690308325978 the regulation term lambda/alpha is 1.6390445863588368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33054121944557785 the lambda is 0.515406645451099 the regulation term lambda/alpha is 1.5592810068154253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2901227734286105 the lambda is 0.5140998177923344 the regulation term lambda/alpha is 1.7720078011002371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3586220102387892 the lambda is 0.5243255390754388 the regulation term lambda/alpha is 1.462056215474102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30983269464358437 the lambda is 0.48806706316398557 the regulation term lambda/alpha is 1.575260040666247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3340310885926596 the lambda is 0.4847044552731583 the regulation term lambda/alpha is 1.4510758783420907 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.298639141361403 the lambda is 0.5190966073576581 the regulation term lambda/alpha is 1.7382068706441425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3482664022797282 the lambda is 0.5570944601341735 the regulation term lambda/alpha is 1.5996216014162463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2917011745660243 the lambda is 0.5026696405545866 the regulation term lambda/alpha is 1.723234886874997 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31779522130251875 the lambda is 0.5293373008336681 the regulation term lambda/alpha is 1.665655319372396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3655426299431302 the lambda is 0.5088047831012792 the regulation term lambda/alpha is 1.3919164043341188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156784477094077 the lambda is 0.5211899364144144 the regulation term lambda/alpha is 1.6510152663136088 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3169297598064593 the lambda is 0.4931144092285708 the regulation term lambda/alpha is 1.5559107151367004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28934690658692575 the lambda is 0.48543343761414265 the regulation term lambda/alpha is 1.677686633460892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2723882903073956 the lambda is 0.5009160844313446 the regulation term lambda/alpha is 1.83897804074489 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31533890707747264 the lambda is 0.5062132033701774 the regulation term lambda/alpha is 1.6052989085987117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3449177366520523 the lambda is 0.5286625848711209 the regulation term lambda/alpha is 1.5327207872885575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2792109141999159 the lambda is 0.49489154957967696 the regulation term lambda/alpha is 1.7724649159858166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29853695011336884 the lambda is 0.5416275712300651 the regulation term lambda/alpha is 1.8142731444947873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073932174134443 the lambda is 0.5207071117323918 the regulation term lambda/alpha is 1.6939447009074375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3455837368447535 the lambda is 0.5275974536858182 the regulation term lambda/alpha is 1.526684844902961 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32474519200303736 the lambda is 0.4977990579783761 the regulation term lambda/alpha is 1.5328912336097655 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33913796193832013 the lambda is 0.5383238601545605 the regulation term lambda/alpha is 1.5873299971427757 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32619339880312037 the lambda is 0.501308912808047 the regulation term lambda/alpha is 1.5368456708427156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35739842004365396 the lambda is 0.5198662220194578 the regulation term lambda/alpha is 1.4545845556786718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099343504764929 the lambda is 0.5245391624516497 the regulation term lambda/alpha is 1.6924202226865896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31509428668963857 the lambda is 0.5025924189515307 the regulation term lambda/alpha is 1.595054052651148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36307726200371326 the lambda is 0.500471443624163 the regulation term lambda/alpha is 1.3784158249464946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3424355927930487 the lambda is 0.5568711509462277 the regulation term lambda/alpha is 1.6262069792574787 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3128100933205934 the lambda is 0.5835962534667626 the regulation term lambda/alpha is 1.865656722491513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33693561392470034 the lambda is 0.5482150746298806 the regulation term lambda/alpha is 1.6270618241988448 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2993807909165046 the lambda is 0.5353487246669574 the regulation term lambda/alpha is 1.7881866202172694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3440796472741034 the lambda is 0.5287990110578537 the regulation term lambda/alpha is 1.5368505962126777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3911347767054717 the lambda is 0.5124033999811207 the regulation term lambda/alpha is 1.3100430605968987 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240603253868505 the lambda is 0.5009007656999809 the regulation term lambda/alpha is 1.5457022241214664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36746903988892643 the lambda is 0.5403329136283165 the regulation term lambda/alpha is 1.4704175181442252 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3074934384788972 the lambda is 0.4844346632669749 the regulation term lambda/alpha is 1.5754308959025831 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3004586683181651 the lambda is 0.48919831354924986 the regulation term lambda/alpha is 1.6281717425147557 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3543174597882364 the lambda is 0.5191324526288392 the regulation term lambda/alpha is 1.4651619283427555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31351492845281714 the lambda is 0.502494181511144 the regulation term lambda/alpha is 1.6027759315670596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33190368722314073 the lambda is 0.5047613399872898 the regulation term lambda/alpha is 1.5208066659649246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087866623718888 the lambda is 0.5179405929636189 the regulation term lambda/alpha is 1.6773412069846285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30271359804687675 the lambda is 0.5358477588384858 the regulation term lambda/alpha is 1.770147632269585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30231671742079913 the lambda is 0.563244550566328 the regulation term lambda/alpha is 1.8630942918791342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3147091430933381 the lambda is 0.5394874622430615 the regulation term lambda/alpha is 1.7142414641669865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2787390499294159 the lambda is 0.4847050830713567 the regulation term lambda/alpha is 1.7389206255603469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32565351747771554 the lambda is 0.5538913576518959 the regulation term lambda/alpha is 1.7008609700946917 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2928079007087035 the lambda is 0.5316544674776124 the regulation term lambda/alpha is 1.81571079943817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30042923269308486 the lambda is 0.5018603354323845 the regulation term lambda/alpha is 1.670477705959724 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3348098144266252 the lambda is 0.5019623442166458 the regulation term lambda/alpha is 1.4992462066151666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35761036514439726 the lambda is 0.5098908586707763 the regulation term lambda/alpha is 1.425827963529219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31170573229870585 the lambda is 0.49011955169450844 the regulation term lambda/alpha is 1.572379012987896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32399630808166824 the lambda is 0.5052219798298765 the regulation term lambda/alpha is 1.559344866678319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30288898967131717 the lambda is 0.47277562750451096 the regulation term lambda/alpha is 1.5608874657924934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3052879815322993 the lambda is 0.5387889367544142 the regulation term lambda/alpha is 1.764854725201197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31023072508371397 the lambda is 0.5435199337639282 the regulation term lambda/alpha is 1.7519861503636123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3386305734488504 the lambda is 0.5005798173970807 the regulation term lambda/alpha is 1.4782475554372603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35086922892283634 the lambda is 0.5116349732506352 the regulation term lambda/alpha is 1.4581927711966862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2943693998639405 the lambda is 0.4836626014382192 the regulation term lambda/alpha is 1.64304646359904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3316427480113058 the lambda is 0.494017817712759 the regulation term lambda/alpha is 1.4896083833436267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2894624348174916 the lambda is 0.5458016704167112 the regulation term lambda/alpha is 1.8855699557728227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3207915088035462 the lambda is 0.5053648998170169 the regulation term lambda/alpha is 1.575368692587509 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3478926762245799 the lambda is 0.5188183830010574 the regulation term lambda/alpha is 1.4913173471525958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2847844224990579 the lambda is 0.5147623175738967 the regulation term lambda/alpha is 1.8075508240820286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30125263321141643 the lambda is 0.5133270697755922 the regulation term lambda/alpha is 1.7039753787491172 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31594162876345816 the lambda is 0.5102642215631965 the regulation term lambda/alpha is 1.6150585269826074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31470900758395864 the lambda is 0.5215224917652926 the regulation term lambda/alpha is 1.657157816260343 860 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875637401410407 the lambda is 0.4810317265201603 the regulation term lambda/alpha is 1.6727829672970238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26327053335278244 the lambda is 0.5020596702996647 the regulation term lambda/alpha is 1.9070104956520328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2906468089224911 the lambda is 0.49224928210080293 the regulation term lambda/alpha is 1.693633877921139 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32947192971494715 the lambda is 0.5495124557596419 the regulation term lambda/alpha is 1.6678581882076255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2872517853918296 the lambda is 0.5534031693760205 the regulation term lambda/alpha is 1.9265438807321722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3326413653799572 the lambda is 0.5205576119678904 the regulation term lambda/alpha is 1.5649214624082823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34832511213508477 the lambda is 0.5596745730708267 the regulation term lambda/alpha is 1.6067591843730693 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3080369984490621 the lambda is 0.5399654410068845 the regulation term lambda/alpha is 1.7529239790205744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35850016061137313 the lambda is 0.5254400914606976 the regulation term lambda/alpha is 1.4656620810563408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26597337972998253 the lambda is 0.48809136802905706 the regulation term lambda/alpha is 1.8351136061983715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3080835935258238 the lambda is 0.4932680085022388 the regulation term lambda/alpha is 1.6010849615751859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3477516946893044 the lambda is 0.5906432458914137 the regulation term lambda/alpha is 1.6984625953271588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31666172014738975 the lambda is 0.5024980500759825 the regulation term lambda/alpha is 1.5868607353048403 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3549636603555929 the lambda is 0.5330767429420767 the regulation term lambda/alpha is 1.5017783578410675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3444284527069082 the lambda is 0.49197024868885647 the regulation term lambda/alpha is 1.4283670376892443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2746004801505878 the lambda is 0.4820751428927981 the regulation term lambda/alpha is 1.7555509831171219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28636910167191143 the lambda is 0.5286793251994314 the regulation term lambda/alpha is 1.8461465364553575 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34824693479930513 the lambda is 0.5571418194531897 the regulation term lambda/alpha is 1.5998470159522604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31046623691055786 the lambda is 0.4615088180947649 the regulation term lambda/alpha is 1.4865024380339331 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2998821761883818 the lambda is 0.5165015893804773 the regulation term lambda/alpha is 1.7223484101169726 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3595490546004756 the lambda is 0.533321829526531 the regulation term lambda/alpha is 1.4833075562363764 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31632399808210815 the lambda is 0.5340949579134396 the regulation term lambda/alpha is 1.6884427395698405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099038177173959 the lambda is 0.46282333376641366 the regulation term lambda/alpha is 1.4934418593980228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37388070463656037 the lambda is 0.544813402116845 the regulation term lambda/alpha is 1.457185127128836 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30420112031497637 the lambda is 0.5700212219871799 the regulation term lambda/alpha is 1.8738301206680885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3121480090323853 the lambda is 0.5009570529203036 the regulation term lambda/alpha is 1.6048702488066464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30264855778169936 the lambda is 0.5153925565497708 the regulation term lambda/alpha is 1.7029407320735486 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2877733948582981 the lambda is 0.4750788283867416 the regulation term lambda/alpha is 1.6508782148560819 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3008841354794965 the lambda is 0.5168330771994076 the regulation term lambda/alpha is 1.7177146158795296 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30711726989705057 the lambda is 0.5216879282300863 the regulation term lambda/alpha is 1.698660346925337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29922280864168066 the lambda is 0.5235929694746058 the regulation term lambda/alpha is 1.7498431080553367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2895406625098544 the lambda is 0.535371901120927 the regulation term lambda/alpha is 1.8490387377030537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3127034099216986 the lambda is 0.5421842560454054 the regulation term lambda/alpha is 1.7338610288297438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29714715819315013 the lambda is 0.5138415852555106 the regulation term lambda/alpha is 1.7292495354153978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.291020542128693 the lambda is 0.5074119919584619 the regulation term lambda/alpha is 1.7435607405819409 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3177764815005349 the lambda is 0.5611938434831265 the regulation term lambda/alpha is 1.7660018162237154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3172715793116254 the lambda is 0.4895660378109006 the regulation term lambda/alpha is 1.5430504014040503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33421725041271094 the lambda is 0.5755951633913092 the regulation term lambda/alpha is 1.7222185948826123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2909008350472124 the lambda is 0.5164581510417307 the regulation term lambda/alpha is 1.775375278513418 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30001706572152165 the lambda is 0.537228043146336 the regulation term lambda/alpha is 1.7906582809025788 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31520023056395174 the lambda is 0.5384691199451894 the regulation term lambda/alpha is 1.7083398669530419 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.339415992834881 the lambda is 0.542066700561949 the regulation term lambda/alpha is 1.597057039164485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34521074604401 the lambda is 0.5026628303162599 the regulation term lambda/alpha is 1.4561042379954672 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2921253475791063 the lambda is 0.54285882664645 the regulation term lambda/alpha is 1.8583078501924457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419138636498923 the lambda is 0.5567787727644378 the regulation term lambda/alpha is 1.6284182420124371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29022936044728825 the lambda is 0.5020358658755306 the regulation term lambda/alpha is 1.7297900705215208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3369077800364249 the lambda is 0.5395659517904331 the regulation term lambda/alpha is 1.6015241670349605 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29786602951707475 the lambda is 0.4697215713523057 the regulation term lambda/alpha is 1.5769558284771763 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3069798867414085 the lambda is 0.5330566511031114 the regulation term lambda/alpha is 1.7364546477670173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057748188098047 the lambda is 0.5585407389010393 the regulation term lambda/alpha is 1.8266407321410523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31634985185995573 the lambda is 0.544739252109583 the regulation term lambda/alpha is 1.7219519747103673 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3292571071170676 the lambda is 0.5217066943835937 the regulation term lambda/alpha is 1.584496380204484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3603886732040085 the lambda is 0.5145002831827543 the regulation term lambda/alpha is 1.4276261199016829 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3096649268911123 the lambda is 0.5261818630956375 the regulation term lambda/alpha is 1.6991974789597637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29979091943947705 the lambda is 0.4806656362934889 the regulation term lambda/alpha is 1.6033362090893069 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32830447315075095 the lambda is 0.5005583524722079 the regulation term lambda/alpha is 1.5246772231530374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34890544581053806 the lambda is 0.5324210273641911 the regulation term lambda/alpha is 1.5259751137656512 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3070362648505421 the lambda is 0.47015969053084944 the regulation term lambda/alpha is 1.5312839047195677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3071133137983742 the lambda is 0.5277321682568074 the regulation term lambda/alpha is 1.718363042389213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29739480464023094 the lambda is 0.49702092725568436 the regulation term lambda/alpha is 1.6712495292476552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31043737467903004 the lambda is 0.5210393337132087 the regulation term lambda/alpha is 1.6784040074167161 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3568563352620463 the lambda is 0.5340709789848826 the regulation term lambda/alpha is 1.496599404891339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3189846198162533 the lambda is 0.5482155246966884 the regulation term lambda/alpha is 1.7186268259970667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217390427658866 the lambda is 0.5396949428962572 the regulation term lambda/alpha is 1.677430684994504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3298234407849217 the lambda is 0.5390328492267119 the regulation term lambda/alpha is 1.6343072764746758 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.313532736912688 the lambda is 0.5261567168777468 the regulation term lambda/alpha is 1.6781555956763452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29536715131574903 the lambda is 0.5158968179079101 the regulation term lambda/alpha is 1.7466289518309153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31720498574109923 the lambda is 0.5516330957207348 the regulation term lambda/alpha is 1.7390429549268636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30179767684055064 the lambda is 0.5119089413073178 the regulation term lambda/alpha is 1.696199078357305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36442139475202306 the lambda is 0.5552832157715443 the regulation term lambda/alpha is 1.5237393406866149 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32561304698078797 the lambda is 0.5414884654746727 the regulation term lambda/alpha is 1.6629814760052348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.303934252457371 the lambda is 0.5577459680741191 the regulation term lambda/alpha is 1.835087567671719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3095687952507176 the lambda is 0.49743481223155245 the regulation term lambda/alpha is 1.6068635465298866 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3538985964875186 the lambda is 0.518903462975847 the regulation term lambda/alpha is 1.4662489993631491 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30088185758013863 the lambda is 0.4949418996643651 the regulation term lambda/alpha is 1.6449708986941474 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32538472870419444 the lambda is 0.5237808225854583 the regulation term lambda/alpha is 1.6097277357525428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.304404836899162 the lambda is 0.49906300496067757 the regulation term lambda/alpha is 1.639471337066824 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3416582553753073 the lambda is 0.5802029717024196 the regulation term lambda/alpha is 1.698196846041592 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30903064354431464 the lambda is 0.4680989860114694 the regulation term lambda/alpha is 1.5147332337103472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27713937927358706 the lambda is 0.49027152304689176 the regulation term lambda/alpha is 1.7690431591928495 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28970663290741044 the lambda is 0.48094115867822296 the regulation term lambda/alpha is 1.6600971605366406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3068670882501789 the lambda is 0.5190819194283031 the regulation term lambda/alpha is 1.6915529208043067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33459452264740114 the lambda is 0.5494441858981011 the regulation term lambda/alpha is 1.642119487045849 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34438524143850047 the lambda is 0.5057410187170596 the regulation term lambda/alpha is 1.4685327878876995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3571166247774947 the lambda is 0.510404030230446 the regulation term lambda/alpha is 1.4292362629391973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3633635610017286 the lambda is 0.4935093768581715 the regulation term lambda/alpha is 1.3581696951055138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34868575916438993 the lambda is 0.5560997744450005 the regulation term lambda/alpha is 1.5948451000054293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30307176401974684 the lambda is 0.4909750959852332 the regulation term lambda/alpha is 1.6199961668261627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2629900466393161 the lambda is 0.4910275015148927 the regulation term lambda/alpha is 1.8670953817059244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3177100655015186 the lambda is 0.5428345738365593 the regulation term lambda/alpha is 1.708584753144891 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38479818657296205 the lambda is 0.5006419492374102 the regulation term lambda/alpha is 1.3010506980195524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3513005133223554 the lambda is 0.5257303460609118 the regulation term lambda/alpha is 1.49652598309328 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28888884635503903 the lambda is 0.5327351874755704 the regulation term lambda/alpha is 1.8440836127707356 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28362639241906934 the lambda is 0.5513985307031208 the regulation term lambda/alpha is 1.9441016260870654 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35473025097269084 the lambda is 0.4754071200940658 the regulation term lambda/alpha is 1.3401933406876692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3383925174253914 the lambda is 0.5436746216471003 the regulation term lambda/alpha is 1.6066390172677782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31703375582442267 the lambda is 0.5485087521240276 the regulation term lambda/alpha is 1.7301272878582643 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3594228101234888 the lambda is 0.5423874495323231 the regulation term lambda/alpha is 1.509051274030082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3142651488949621 the lambda is 0.4944163926281079 the regulation term lambda/alpha is 1.5732460133317498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29518331829430233 the lambda is 0.49944367804996537 the regulation term lambda/alpha is 1.6919779916289588 870 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30997372926981304 the lambda is 0.5521143023174475 the regulation term lambda/alpha is 1.7811648219932408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30276636014572034 the lambda is 0.49092512832852314 the regulation term lambda/alpha is 1.6214652383846166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34064612037465747 the lambda is 0.5225614676994538 the regulation term lambda/alpha is 1.5340302925649583 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29168265606921606 the lambda is 0.5306701471311059 the regulation term lambda/alpha is 1.8193407667172996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32313319526365963 the lambda is 0.5082870895162624 the regulation term lambda/alpha is 1.5729955849987094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3310610752421937 the lambda is 0.500478003573876 the regulation term lambda/alpha is 1.511739195578164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3078163966855454 the lambda is 0.48933735117432264 the regulation term lambda/alpha is 1.5897052803012726 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.314526581750583 the lambda is 0.5257480891498861 the regulation term lambda/alpha is 1.6715537561998497 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3249738466891781 the lambda is 0.5278070171587347 the regulation term lambda/alpha is 1.6241522895950355 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2960208036107058 the lambda is 0.5084730931152378 the regulation term lambda/alpha is 1.7176937800085361 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33224512491318936 the lambda is 0.4807266335800011 the regulation term lambda/alpha is 1.446903498450452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3154314305666968 the lambda is 0.48295325861971466 the regulation term lambda/alpha is 1.5310879380410887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.363403698609027 the lambda is 0.5229354858791447 the regulation term lambda/alpha is 1.4389932955573803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30375378865173847 the lambda is 0.47679119133743236 the regulation term lambda/alpha is 1.5696633561469278 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29639518391700154 the lambda is 0.45669053560115225 the regulation term lambda/alpha is 1.5408163168030342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33344264706758636 the lambda is 0.49849604403267816 the regulation term lambda/alpha is 1.4949978607014738 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33371555775533207 the lambda is 0.5094025210472481 the regulation term lambda/alpha is 1.5264572154610883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3216661471535677 the lambda is 0.5294927562144083 the regulation term lambda/alpha is 1.646094128648301 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3123097724739579 the lambda is 0.5355195242799394 the regulation term lambda/alpha is 1.7147062675555371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3513894684757616 the lambda is 0.5220776177591884 the regulation term lambda/alpha is 1.4857520346976496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29903642090583515 the lambda is 0.508678049214691 the regulation term lambda/alpha is 1.701057174486685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.329758510145711 the lambda is 0.5002354601535761 the regulation term lambda/alpha is 1.5169751341141617 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33631782241545577 the lambda is 0.5108460814703251 the regulation term lambda/alpha is 1.5189384784945275 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.352723454750633 the lambda is 0.5222832197694534 the regulation term lambda/alpha is 1.4807158773682771 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.357767868155969 the lambda is 0.545504598735262 the regulation term lambda/alpha is 1.5247445265192154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3427064827693535 the lambda is 0.482765473322909 the regulation term lambda/alpha is 1.408684975614591 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34499180931462464 the lambda is 0.5108343756110381 the regulation term lambda/alpha is 1.4807145034135254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3187484074834007 the lambda is 0.5439141052149883 the regulation term lambda/alpha is 1.706405718257003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023679303627296 the lambda is 0.4607804281132799 the regulation term lambda/alpha is 1.5239064128279542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30021002461800694 the lambda is 0.5157248461224192 the regulation term lambda/alpha is 1.717880163324451 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3079246413449766 the lambda is 0.536543022080046 the regulation term lambda/alpha is 1.7424491256577996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32782724085046294 the lambda is 0.5410918313618746 the regulation term lambda/alpha is 1.650539564552817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3538513796697338 the lambda is 0.5288340942013359 the regulation term lambda/alpha is 1.4945090639322127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29158420408136276 the lambda is 0.49958571699194704 the regulation term lambda/alpha is 1.7133497288232533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2983120107842556 the lambda is 0.5010224042145999 the regulation term lambda/alpha is 1.6795247462461305 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3118072446738175 the lambda is 0.4948419530502326 the regulation term lambda/alpha is 1.5870123658219946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3362660596360302 the lambda is 0.4936874347347708 the regulation term lambda/alpha is 1.4681452991988884 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31168891596554205 the lambda is 0.48663458470111604 the regulation term lambda/alpha is 1.5612829323546258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3153723718105736 the lambda is 0.46940457351207515 the regulation term lambda/alpha is 1.488413746636056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2972272752723339 the lambda is 0.5120334818517704 the regulation term lambda/alpha is 1.7227001841692382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3233323264191058 the lambda is 0.5293241667568457 the regulation term lambda/alpha is 1.637090149998586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.304179100396128 the lambda is 0.49903819690588946 the regulation term lambda/alpha is 1.6406064593392489 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29825283541554604 the lambda is 0.5485829330671005 the regulation term lambda/alpha is 1.8393217697420299 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2972660075848489 the lambda is 0.5572979102337177 the regulation term lambda/alpha is 1.8747448279119086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3831505628705649 the lambda is 0.5648251412676916 the regulation term lambda/alpha is 1.4741597585972999 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31374223606120977 the lambda is 0.48404086455477296 the regulation term lambda/alpha is 1.5427979051578464 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36835371924978755 the lambda is 0.5379117155767333 the regulation term lambda/alpha is 1.4603129749097643 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3118092889492166 the lambda is 0.5881928443962459 the regulation term lambda/alpha is 1.8863865357521243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34456455352629894 the lambda is 0.5046785003017129 the regulation term lambda/alpha is 1.4646849048655646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28918696650330006 the lambda is 0.5222458472793152 the regulation term lambda/alpha is 1.8059107351691648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35562579389841525 the lambda is 0.5913111884990752 the regulation term lambda/alpha is 1.662734252251634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2600743149554674 the lambda is 0.5079029819867604 the regulation term lambda/alpha is 1.9529148123440363 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30994640817659985 the lambda is 0.49915759507336527 the regulation term lambda/alpha is 1.6104642025370965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3536341787082852 the lambda is 0.5394607395265492 the regulation term lambda/alpha is 1.5254768119332531 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3260349205819838 the lambda is 0.5534170810365995 the regulation term lambda/alpha is 1.6974165836246329 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31010538559644873 the lambda is 0.5328869803630004 the regulation term lambda/alpha is 1.7184060810103614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3586976637710389 the lambda is 0.5390023268773178 the regulation term lambda/alpha is 1.5026647266411233 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3070797027611009 the lambda is 0.5149966289878025 the regulation term lambda/alpha is 1.6770780496308313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2933106683591645 the lambda is 0.4997390733498838 the regulation term lambda/alpha is 1.703787578356829 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159091693532263 the lambda is 0.5149467164961045 the regulation term lambda/alpha is 1.630046755370779 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30273421291096475 the lambda is 0.5069115136917446 the regulation term lambda/alpha is 1.6744440901393234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31697524831585444 the lambda is 0.5319486964926174 the regulation term lambda/alpha is 1.678202633546168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2990622283230651 the lambda is 0.5161760323813553 the regulation term lambda/alpha is 1.7259820314846004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3388024629079962 the lambda is 0.5241072136766713 the regulation term lambda/alpha is 1.546940388739133 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3342234613743133 the lambda is 0.5091190014466113 the regulation term lambda/alpha is 1.5232892369468456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2735386805748442 the lambda is 0.4961232881904962 the regulation term lambda/alpha is 1.8137226045979613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246284551286765 the lambda is 0.5904255054440303 the regulation term lambda/alpha is 1.8187731115868968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35281131998211374 the lambda is 0.4582842951728073 the regulation term lambda/alpha is 1.2989500880981955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32513095953588117 the lambda is 0.49589663182287974 the regulation term lambda/alpha is 1.5252211986541166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2903238087058469 the lambda is 0.46443676878898676 the regulation term lambda/alpha is 1.5997198812569635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3454126613323823 the lambda is 0.5312240602920253 the regulation term lambda/alpha is 1.5379403240254739 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300549695567498 the lambda is 0.5595470304198474 the regulation term lambda/alpha is 1.6953146658306524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33705072170127137 the lambda is 0.5556733319481828 the regulation term lambda/alpha is 1.648634155546111 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36875318790201067 the lambda is 0.5908271290497925 the regulation term lambda/alpha is 1.6022292103052784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2994226014182072 the lambda is 0.5726099774921313 the regulation term lambda/alpha is 1.9123806111495234 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37491582004976015 the lambda is 0.5164328298855352 the regulation term lambda/alpha is 1.3774634258351446 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32141076282129394 the lambda is 0.4708817331051374 the regulation term lambda/alpha is 1.4650465621369069 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3411312017945285 the lambda is 0.5052810803349416 the regulation term lambda/alpha is 1.481192801118452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29759448709140657 the lambda is 0.4777055729285466 the regulation term lambda/alpha is 1.6052231934720573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31943783354493954 the lambda is 0.5203278474826548 the regulation term lambda/alpha is 1.6288861019008052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33267375616786443 the lambda is 0.5071469107702989 the regulation term lambda/alpha is 1.5244572238346232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32501779651820817 the lambda is 0.5399605725648758 the regulation term lambda/alpha is 1.6613261745949537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3170339203168995 the lambda is 0.4988838994878856 the regulation term lambda/alpha is 1.5735978629328156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33274926762836504 the lambda is 0.4688722943138279 the regulation term lambda/alpha is 1.4090858791535898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34080718307363544 the lambda is 0.5488313411344372 the regulation term lambda/alpha is 1.610386659649294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057729749871702 the lambda is 0.5173572071643608 the regulation term lambda/alpha is 1.6919651162306557 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2905298543842702 the lambda is 0.4842765397124811 the regulation term lambda/alpha is 1.6668735842615032 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3584231235029525 the lambda is 0.4930693966748798 the regulation term lambda/alpha is 1.3756629088435979 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30530011170151844 the lambda is 0.4778461949836592 the regulation term lambda/alpha is 1.565168752544818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3498860889188935 the lambda is 0.5240893565461161 the regulation term lambda/alpha is 1.4978856637755735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29032253754533893 the lambda is 0.5254246408902471 the regulation term lambda/alpha is 1.8097962539618297 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3448945520482556 the lambda is 0.4980963680386543 the regulation term lambda/alpha is 1.4441990025083482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3099733233357635 the lambda is 0.5086008033257986 the regulation term lambda/alpha is 1.640788948715053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2975673651707037 the lambda is 0.5212079354884679 the regulation term lambda/alpha is 1.7515628274272268 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3031240208202535 the lambda is 0.48585157135736584 the regulation term lambda/alpha is 1.6028144851161963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3102063915997974 the lambda is 0.5285249653589053 the regulation term lambda/alpha is 1.7037848982839927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206754322386639 the lambda is 0.5226122775200114 the regulation term lambda/alpha is 1.6297234679676216 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37037584859588607 the lambda is 0.5060418739109253 the regulation term lambda/alpha is 1.3662928504365393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3321596819040989 the lambda is 0.5819297987939134 the regulation term lambda/alpha is 1.7519579602738422 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.354269751816991 the lambda is 0.50105729037039 the regulation term lambda/alpha is 1.4143383334325046 880 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066783357072644 the lambda is 0.548696021334251 the regulation term lambda/alpha is 1.7891580768783135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33982582424556496 the lambda is 0.4857577057448121 the regulation term lambda/alpha is 1.4294314059951896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3078846199288566 the lambda is 0.4719234405614198 the regulation term lambda/alpha is 1.532793163459961 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34474616045024553 the lambda is 0.5100651932791666 the regulation term lambda/alpha is 1.4795384308646424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31056820656402134 the lambda is 0.5198171125019156 the regulation term lambda/alpha is 1.6737615168433515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3019934201608111 the lambda is 0.5360333388313597 the regulation term lambda/alpha is 1.7749835031038845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34102949513019337 the lambda is 0.48849073404610904 the regulation term lambda/alpha is 1.4324002498951593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33499007387337637 the lambda is 0.5124802790866607 the regulation term lambda/alpha is 1.5298372072969966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3217581576998507 the lambda is 0.5375895476384316 the regulation term lambda/alpha is 1.6707876234793626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089166493727458 the lambda is 0.5021399261914101 the regulation term lambda/alpha is 1.6254867687157797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34612550086512905 the lambda is 0.5129130101832898 the regulation term lambda/alpha is 1.4818700410726195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30124208831811805 the lambda is 0.45218147521080804 the regulation term lambda/alpha is 1.5010567671184605 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3544320990345947 the lambda is 0.5125047594761435 the regulation term lambda/alpha is 1.4459885571089879 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28856241438221547 the lambda is 0.5279522895003059 the regulation term lambda/alpha is 1.829594788464053 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057438500075066 the lambda is 0.5095766616403289 the regulation term lambda/alpha is 1.6666783702364505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2671094854456412 the lambda is 0.46594060931989795 the regulation term lambda/alpha is 1.7443806180919783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2953537505521656 the lambda is 0.5037768200094337 the regulation term lambda/alpha is 1.705672669020183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3137261173616465 the lambda is 0.48796570888197016 the regulation term lambda/alpha is 1.555387587701121 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3739858581883882 the lambda is 0.4953863582272861 the regulation term lambda/alpha is 1.324612541840405 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28730059787138107 the lambda is 0.4508851035943105 the regulation term lambda/alpha is 1.5693844946196842 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30411157734126504 the lambda is 0.5283012429074551 the regulation term lambda/alpha is 1.7371954317760516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30171015208440793 the lambda is 0.49499512971384435 the regulation term lambda/alpha is 1.640631335386295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2847262560747687 the lambda is 0.4441352374041647 the regulation term lambda/alpha is 1.5598675145980758 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33911518679808267 the lambda is 0.5201925919558064 the regulation term lambda/alpha is 1.5339702030671412 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3298324123628368 the lambda is 0.5232013537831292 the regulation term lambda/alpha is 1.5862642183496938 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30150869932575114 the lambda is 0.5261366918847517 the regulation term lambda/alpha is 1.7450133049604368 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3454083281593392 the lambda is 0.5184836050265095 the regulation term lambda/alpha is 1.5010744176015625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3613536835015532 the lambda is 0.52989672596934 the regulation term lambda/alpha is 1.4664212658207547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3326685850030597 the lambda is 0.49591183089347124 the regulation term lambda/alpha is 1.4907083303008914 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3494159406230216 the lambda is 0.470769641666658 the regulation term lambda/alpha is 1.347304421278715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2861971911554563 the lambda is 0.5282225800628938 the regulation term lambda/alpha is 1.845659553576731 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2951897069775681 the lambda is 0.4886254767998251 the regulation term lambda/alpha is 1.6552930717091585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27318379895282674 the lambda is 0.5029529185447883 the regulation term lambda/alpha is 1.8410788651183447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3236264010268593 the lambda is 0.5219166555357387 the regulation term lambda/alpha is 1.612713467998003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3055692894672559 the lambda is 0.5343697567378264 the regulation term lambda/alpha is 1.7487678741193924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3101625457051346 the lambda is 0.5016925017873584 the regulation term lambda/alpha is 1.6175147796997629 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2953218809761656 the lambda is 0.5447702443017443 the regulation term lambda/alpha is 1.8446660386323044 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31166562043055823 the lambda is 0.5350945811556649 the regulation term lambda/alpha is 1.7168867724853487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31517446026181345 the lambda is 0.5094912750600326 the regulation term lambda/alpha is 1.6165373128165312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3498831316808489 the lambda is 0.5109189290552959 the regulation term lambda/alpha is 1.460255962043172 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35295503577193116 the lambda is 0.5609048654935521 the regulation term lambda/alpha is 1.58916804874826 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224234865961576 the lambda is 0.5241599003551397 the regulation term lambda/alpha is 1.6256877124204705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28694120786417043 the lambda is 0.48649425554057923 the regulation term lambda/alpha is 1.6954492495580187 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.313084940775103 the lambda is 0.5467171047550864 the regulation term lambda/alpha is 1.746226130843538 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37167604530752024 the lambda is 0.5362084630542243 the regulation term lambda/alpha is 1.442676948982741 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3546661583656668 the lambda is 0.5209046445328741 the regulation term lambda/alpha is 1.468718207943067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3425306305778716 the lambda is 0.5504097888930323 the regulation term lambda/alpha is 1.6068921718459308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28882902017811635 the lambda is 0.5329900148217793 the regulation term lambda/alpha is 1.8453478618356725 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3112664205114913 the lambda is 0.5243711861878473 the regulation term lambda/alpha is 1.6846378267407378 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3228188229219833 the lambda is 0.501400280578185 the regulation term lambda/alpha is 1.5531940673092661 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3047926700724253 the lambda is 0.45663648006438523 the regulation term lambda/alpha is 1.4981872101972749 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3055651365163899 the lambda is 0.48839615418802396 the regulation term lambda/alpha is 1.5983372964468654 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3185485342360689 the lambda is 0.5130622393339856 the regulation term lambda/alpha is 1.6106250200283991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34327361002536316 the lambda is 0.4949881668601479 the regulation term lambda/alpha is 1.4419639389802645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29324537707131704 the lambda is 0.46445206153330154 the regulation term lambda/alpha is 1.5838342147857531 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2714401925617065 the lambda is 0.446760836596471 the regulation term lambda/alpha is 1.645890508624322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33320762020645234 the lambda is 0.6014975855331207 the regulation term lambda/alpha is 1.8051735586372197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33145839397426813 the lambda is 0.4871007242084888 the regulation term lambda/alpha is 1.4695682265518475 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3303233792692739 the lambda is 0.4982463134718748 the regulation term lambda/alpha is 1.5083592162748887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32364866721519203 the lambda is 0.4742827095909212 the regulation term lambda/alpha is 1.465424571872479 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3357143353032837 the lambda is 0.5332173805481824 the regulation term lambda/alpha is 1.588306856382748 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.274268684438135 the lambda is 0.48695469131692337 the regulation term lambda/alpha is 1.7754658805269565 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32116654668683625 the lambda is 0.5467106307124386 the regulation term lambda/alpha is 1.702265184068272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29205955699059394 the lambda is 0.5058246785437129 the regulation term lambda/alpha is 1.731923049379971 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29548168625004867 the lambda is 0.4820203602565373 the regulation term lambda/alpha is 1.6313036735841284 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28933538208137705 the lambda is 0.4960354861470924 the regulation term lambda/alpha is 1.7143962227460308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2870165573404347 the lambda is 0.5379685792201476 the regulation term lambda/alpha is 1.874346846764157 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29158332974051887 the lambda is 0.474552770241033 the regulation term lambda/alpha is 1.6275030903287213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3513864594703879 the lambda is 0.5331747798998403 the regulation term lambda/alpha is 1.5173458325726183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3732797611285682 the lambda is 0.5243985127291522 the regulation term lambda/alpha is 1.4048404637414413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3298392208843431 the lambda is 0.4929908684616945 the regulation term lambda/alpha is 1.494639925294269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3145870471976836 the lambda is 0.49379875939106926 the regulation term lambda/alpha is 1.5696728895540657 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3272353153865815 the lambda is 0.5525504125602145 the regulation term lambda/alpha is 1.6885415069197394 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4041903686225139 the lambda is 0.5675095202235552 the regulation term lambda/alpha is 1.4040649265286431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30560673004216293 the lambda is 0.5192131233502023 the regulation term lambda/alpha is 1.698958407357617 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211723440328145 the lambda is 0.503049620635184 the regulation term lambda/alpha is 1.566291836708664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2852423623137459 the lambda is 0.4838636614632664 the regulation term lambda/alpha is 1.6963246887257635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3302080344276217 the lambda is 0.5704633793731747 the regulation term lambda/alpha is 1.7275878231188666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32176696746467176 the lambda is 0.49113290873667853 the regulation term lambda/alpha is 1.5263621141924775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.324766506014852 the lambda is 0.5126048159347467 the regulation term lambda/alpha is 1.5783795632894009 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2718467611369487 the lambda is 0.4864283595833422 the regulation term lambda/alpha is 1.7893476366940908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29103905267289865 the lambda is 0.5194194239428639 the regulation term lambda/alpha is 1.7847069634556705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30386867191999284 the lambda is 0.49372062763809954 the regulation term lambda/alpha is 1.6247829186158875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33580393812440273 the lambda is 0.49218861676011394 the regulation term lambda/alpha is 1.465702336634827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3446395609103637 the lambda is 0.5277203679565057 the regulation term lambda/alpha is 1.5312240027306643 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3400626586180079 the lambda is 0.5323082873075482 the regulation term lambda/alpha is 1.565324136060142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29866740302203043 the lambda is 0.4914952716081537 the regulation term lambda/alpha is 1.6456274325052467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161680978046122 the lambda is 0.5332171614014658 the regulation term lambda/alpha is 1.6864989387100882 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3844309845847115 the lambda is 0.5052032237831003 the regulation term lambda/alpha is 1.3141584420643286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3266878068681112 the lambda is 0.5280848838366862 the regulation term lambda/alpha is 1.6164817686320383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27904492581067425 the lambda is 0.48286431000682356 the regulation term lambda/alpha is 1.730417812128346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31695199101451743 the lambda is 0.49660343618037167 the regulation term lambda/alpha is 1.5668096439174146 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.336680579166475 the lambda is 0.4547698143611054 the regulation term lambda/alpha is 1.3507456102368176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33198541193595266 the lambda is 0.519343927974984 the regulation term lambda/alpha is 1.5643576774848678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3197090249762905 the lambda is 0.530304665291759 the regulation term lambda/alpha is 1.658710339287689 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3269460179404728 the lambda is 0.5591686467230964 the regulation term lambda/alpha is 1.7102781989683218 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3689104382933143 the lambda is 0.5456182554008121 the regulation term lambda/alpha is 1.478999233323402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3152394982369995 the lambda is 0.5544473000582203 the regulation term lambda/alpha is 1.7588129125918812 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33715613035558223 the lambda is 0.5118998354646794 the regulation term lambda/alpha is 1.5182871950891224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31074570103052923 the lambda is 0.5046763904266736 the regulation term lambda/alpha is 1.6240816486053065 890 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32555925859992463 the lambda is 0.5356913578300442 the regulation term lambda/alpha is 1.645449618400649 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3419072420571905 the lambda is 0.4985766630691287 the regulation term lambda/alpha is 1.4582220021702035 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31629477044464593 the lambda is 0.5435423348683529 the regulation term lambda/alpha is 1.7184676626307898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3021607746584038 the lambda is 0.5175167597041052 the regulation term lambda/alpha is 1.7127198601114382 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3163568522634737 the lambda is 0.5449773552998926 the regulation term lambda/alpha is 1.722666512201908 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27838120040219655 the lambda is 0.5028381031736036 the regulation term lambda/alpha is 1.8062933217010295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31600525993552975 the lambda is 0.5019071978428665 the regulation term lambda/alpha is 1.5882874795984845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2833053967280941 the lambda is 0.5095624881771195 the regulation term lambda/alpha is 1.798633185467266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3535805005327822 the lambda is 0.5012384893153327 the regulation term lambda/alpha is 1.4176078391202467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3291123082716732 the lambda is 0.5505957505156664 the regulation term lambda/alpha is 1.6729722246096148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3372904854112346 the lambda is 0.541425593562329 the regulation term lambda/alpha is 1.6052204760599957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30554609578111946 the lambda is 0.5652774821263372 the regulation term lambda/alpha is 1.8500563087910589 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32381705079412393 the lambda is 0.5242397353226501 the regulation term lambda/alpha is 1.6189380208269228 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34267112402762545 the lambda is 0.5236909444098043 the regulation term lambda/alpha is 1.5282610867660547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30598579135380755 the lambda is 0.4868118016784737 the regulation term lambda/alpha is 1.590962114693683 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.304905207626749 the lambda is 0.5328622091849547 the regulation term lambda/alpha is 1.7476323652604198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31917119481590284 the lambda is 0.4854992993048732 the regulation term lambda/alpha is 1.52112504884693 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36421482743840383 the lambda is 0.5155931034706226 the regulation term lambda/alpha is 1.4156290865390975 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2916333399774716 the lambda is 0.4903171027688502 the regulation term lambda/alpha is 1.6812793174015246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3216212505250207 the lambda is 0.5177570478437064 the regulation term lambda/alpha is 1.609834695308565 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.314418559843152 the lambda is 0.5271974522498175 the regulation term lambda/alpha is 1.6767376980316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3119594471070937 the lambda is 0.5162492155964379 the regulation term lambda/alpha is 1.6548600158892215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3306750615749845 the lambda is 0.4899018881274905 the regulation term lambda/alpha is 1.4815205168303853 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3178482327530971 the lambda is 0.5309573413881195 the regulation term lambda/alpha is 1.670474417268711 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.285709041473047 the lambda is 0.5029966646735929 the regulation term lambda/alpha is 1.76052064043988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3226439808302238 the lambda is 0.5353597378879501 the regulation term lambda/alpha is 1.6592894016196074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3453340866711015 the lambda is 0.5029416752737781 the regulation term lambda/alpha is 1.456391635479596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2907814445623181 the lambda is 0.5115009802282658 the regulation term lambda/alpha is 1.7590564659246846 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3068090038106149 the lambda is 0.48718587194399493 the regulation term lambda/alpha is 1.5879125641460052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3414216290762433 the lambda is 0.5016538541072352 the regulation term lambda/alpha is 1.4693089464323603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3388482155517543 the lambda is 0.5340331070111494 the regulation term lambda/alpha is 1.576024551705462 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3292712924570087 the lambda is 0.5430373915517955 the regulation term lambda/alpha is 1.649209645638018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29697631539775743 the lambda is 0.4601429479344445 the regulation term lambda/alpha is 1.549426415767024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3393314290235739 the lambda is 0.4918165880505895 the regulation term lambda/alpha is 1.4493693951833215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3111314889104068 the lambda is 0.4814166644645002 the regulation term lambda/alpha is 1.5473093583373316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973842558846457 the lambda is 0.5046526432210513 the regulation term lambda/alpha is 1.6969716225219547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3233991038994098 the lambda is 0.4953463191613353 the regulation term lambda/alpha is 1.5316873584022301 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30239264879428546 the lambda is 0.5069971795109963 the regulation term lambda/alpha is 1.676618732408079 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32925809418628377 the lambda is 0.48424764366612155 the regulation term lambda/alpha is 1.4707235819452615 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36887353996346156 the lambda is 0.547522717096099 the regulation term lambda/alpha is 1.4843100894423964 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3472543615969055 the lambda is 0.516091411291934 the regulation term lambda/alpha is 1.486205699241916 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3076464464697053 the lambda is 0.5022978598014978 the regulation term lambda/alpha is 1.632711398312739 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3585826244328783 the lambda is 0.5086662962881668 the regulation term lambda/alpha is 1.41854697252176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3334318063637677 the lambda is 0.5061302073485893 the regulation term lambda/alpha is 1.5179421929424781 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30319651380417434 the lambda is 0.4803176686506578 the regulation term lambda/alpha is 1.584179391194718 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2886454849154982 the lambda is 0.5174710139513898 the regulation term lambda/alpha is 1.7927563083236207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28011357637103407 the lambda is 0.4612601156722876 the regulation term lambda/alpha is 1.6466896094365295 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31032187320937354 the lambda is 0.5002824051098161 the regulation term lambda/alpha is 1.6121403236447873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3653426975775236 the lambda is 0.5052751232572126 the regulation term lambda/alpha is 1.3830168951166628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3180196843559663 the lambda is 0.5534685739548092 the regulation term lambda/alpha is 1.7403594845886958 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33275728539105975 the lambda is 0.5125691336808779 the regulation term lambda/alpha is 1.5403693808792238 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3304869094544834 the lambda is 0.5444839551845347 the regulation term lambda/alpha is 1.6475204905491856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2956452675678794 the lambda is 0.4615621569654816 the regulation term lambda/alpha is 1.5612025883671825 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29362776498131893 the lambda is 0.49104975549634017 the regulation term lambda/alpha is 1.6723546410114913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28993316406961644 the lambda is 0.5390365590109746 the regulation term lambda/alpha is 1.8591752369575265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28796919122756753 the lambda is 0.5622286543838045 the regulation term lambda/alpha is 1.9523916846351232 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3343802793490245 the lambda is 0.4578005779195501 the regulation term lambda/alpha is 1.3691016073400073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2845534903263076 the lambda is 0.4895194884613624 the regulation term lambda/alpha is 1.720307446940865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3120879226029701 the lambda is 0.4817009673129597 the regulation term lambda/alpha is 1.543478399597561 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3242969089941853 the lambda is 0.5398144059261287 the regulation term lambda/alpha is 1.664568458578209 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32760839016317267 the lambda is 0.5275919744866825 the regulation term lambda/alpha is 1.6104348677514135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3341622779371168 the lambda is 0.5494965430411142 the regulation term lambda/alpha is 1.6444002789103542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33988497203707607 the lambda is 0.515129002351003 the regulation term lambda/alpha is 1.5155980544347532 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3253436715018132 the lambda is 0.5173779278135255 the regulation term lambda/alpha is 1.5902504739842223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2899230061298656 the lambda is 0.4992883774768841 the regulation term lambda/alpha is 1.7221412820658917 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3111192701641449 the lambda is 0.5143169450461083 the regulation term lambda/alpha is 1.653118255178335 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32932254926605997 the lambda is 0.48857502731377217 the regulation term lambda/alpha is 1.4835759907805524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32722220523705914 the lambda is 0.5413260309762541 the regulation term lambda/alpha is 1.654307141485357 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3294261052083628 the lambda is 0.5084501599766605 the regulation term lambda/alpha is 1.5434422225131934 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32753471444820725 the lambda is 0.5690591321012789 the regulation term lambda/alpha is 1.7374009746110857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30285237146872246 the lambda is 0.5065497180281895 the regulation term lambda/alpha is 1.6725961747355977 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30458938179830464 the lambda is 0.5314379340529305 the regulation term lambda/alpha is 1.7447684187653074 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156982849802188 the lambda is 0.5096091485139222 the regulation term lambda/alpha is 1.6142284350573954 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3103362895138996 the lambda is 0.48985288398204835 the regulation term lambda/alpha is 1.578458274246101 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30801228232950534 the lambda is 0.4909305256452301 the regulation term lambda/alpha is 1.5938667183409345 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2943849647057213 the lambda is 0.529991034320162 the regulation term lambda/alpha is 1.8003332298236148 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2903644263706496 the lambda is 0.5110006872801599 the regulation term lambda/alpha is 1.7598598205272866 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31651159442740356 the lambda is 0.5322807961287984 the regulation term lambda/alpha is 1.681710261173022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.278997329907113 the lambda is 0.4530250517560034 the regulation term lambda/alpha is 1.6237612449797627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35147447527131376 the lambda is 0.4955168520370325 the regulation term lambda/alpha is 1.4098231504706795 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3269190030929285 the lambda is 0.4876800077122853 the regulation term lambda/alpha is 1.4917456712470754 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31893304160256714 the lambda is 0.5558832191972992 the regulation term lambda/alpha is 1.7429464705322173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105833828232268 the lambda is 0.531948026261428 the regulation term lambda/alpha is 1.712738207131301 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3402641183812057 the lambda is 0.5273810979939452 the regulation term lambda/alpha is 1.5499168719374286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3206207759985487 the lambda is 0.563340049352433 the regulation term lambda/alpha is 1.7570291494615524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29552470942246295 the lambda is 0.5249475919732545 the regulation term lambda/alpha is 1.7763238579919334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3161118131923388 the lambda is 0.4972311476737989 the regulation term lambda/alpha is 1.5729597152740944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36252616119540587 the lambda is 0.5339499316465299 the regulation term lambda/alpha is 1.4728590341890515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3358318649415878 the lambda is 0.5286368653542413 the regulation term lambda/alpha is 1.5741116926060266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3324901710022544 the lambda is 0.5248587472855645 the regulation term lambda/alpha is 1.5785692121467425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300623842741681 the lambda is 0.4708275391059718 the regulation term lambda/alpha is 1.4264804519950276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3142964627312408 the lambda is 0.5137198883264904 the regulation term lambda/alpha is 1.634507381541164 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875653702574529 the lambda is 0.4771399113166468 the regulation term lambda/alpha is 1.6592398135056066 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980909987450232 the lambda is 0.4748864147233348 the regulation term lambda/alpha is 1.5930920984619745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27059307818165296 the lambda is 0.4840343191998111 the regulation term lambda/alpha is 1.7887904688931917 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3160775378616512 the lambda is 0.5590628113357056 the regulation term lambda/alpha is 1.7687521078464306 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.309881458301422 the lambda is 0.518577605894678 the regulation term lambda/alpha is 1.6734709096091096 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3396557496884109 the lambda is 0.5515703834302551 the regulation term lambda/alpha is 1.6239100440261878 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31218784790260123 the lambda is 0.5056676005978703 the regulation term lambda/alpha is 1.6197542729325978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33769304478364115 the lambda is 0.5319937941559842 the regulation term lambda/alpha is 1.5753768174195917 900 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36038788111505743 the lambda is 0.5635077972017188 the regulation term lambda/alpha is 1.5636147238308864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3381744338251887 the lambda is 0.5682099154167068 the regulation term lambda/alpha is 1.6802272986444315 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.317450802574144 the lambda is 0.5252439468876623 the regulation term lambda/alpha is 1.6545680232293192 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3391681215663218 the lambda is 0.509729397039771 the regulation term lambda/alpha is 1.5028812103147413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3190356262603163 the lambda is 0.5131632547109775 the regulation term lambda/alpha is 1.6084826034201687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29985128697966695 the lambda is 0.5278752804715168 the regulation term lambda/alpha is 1.7604569444696505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308267173901618 the lambda is 0.5125464768005722 the regulation term lambda/alpha is 1.6626696586388694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30467051574724696 the lambda is 0.500817789201906 the regulation term lambda/alpha is 1.6438012978498444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31929376756913824 the lambda is 0.4513384191815341 the regulation term lambda/alpha is 1.4135522362922528 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30534442902775694 the lambda is 0.4826986602671805 the regulation term lambda/alpha is 1.5808333618665806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3676816914347977 the lambda is 0.5143489684782229 the regulation term lambda/alpha is 1.3988974171411366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.306857369307389 the lambda is 0.48576566634626744 the regulation term lambda/alpha is 1.5830340572973505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3412512976820704 the lambda is 0.5536322455378113 the regulation term lambda/alpha is 1.6223593852926748 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.322861507223721 the lambda is 0.5117338996878857 the regulation term lambda/alpha is 1.5849950775745127 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980418898509069 the lambda is 0.5254296184138941 the regulation term lambda/alpha is 1.7629388227162837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30033202548366467 the lambda is 0.4784266414604573 the regulation term lambda/alpha is 1.5929924246006837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34795607525926137 the lambda is 0.5817871263970535 the regulation term lambda/alpha is 1.6720131297134706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351694183832288 the lambda is 0.5044113194218515 the regulation term lambda/alpha is 1.5049443408500756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3262155387016709 the lambda is 0.5239683641634922 the regulation term lambda/alpha is 1.6062029609284472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35071211690293974 the lambda is 0.5099579215557626 the regulation term lambda/alpha is 1.4540641653875177 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3268565517797142 the lambda is 0.5126530967502921 the regulation term lambda/alpha is 1.5684345134247026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3763587896873626 the lambda is 0.5429727861116429 the regulation term lambda/alpha is 1.44269989432872 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3039913839307693 the lambda is 0.5411240575241355 the regulation term lambda/alpha is 1.7800637982797913 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30199082914095415 the lambda is 0.5036114341295966 the regulation term lambda/alpha is 1.6676381715371102 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29735923995430913 the lambda is 0.5286600349529617 the regulation term lambda/alpha is 1.7778496980090248 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31911801872633877 the lambda is 0.5171212940139187 the regulation term lambda/alpha is 1.6204703704223566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2885306576295757 the lambda is 0.4437827447540539 the regulation term lambda/alpha is 1.5380783047456796 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.344158879327462 the lambda is 0.5300028663112246 the regulation term lambda/alpha is 1.5399947470393025 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33971072071927716 the lambda is 0.5132057163602471 the regulation term lambda/alpha is 1.5107139252880366 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.305941044171919 the lambda is 0.5217320072347484 the regulation term lambda/alpha is 1.7053351198656725 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36824417789727987 the lambda is 0.519438702329555 the regulation term lambda/alpha is 1.4105822535894925 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29683095156743644 the lambda is 0.48953335116361874 the regulation term lambda/alpha is 1.6491991437503533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3294749618834652 the lambda is 0.4900078255494841 the regulation term lambda/alpha is 1.4872384315588725 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32259042745633043 the lambda is 0.49364422069441 the regulation term lambda/alpha is 1.5302506791254225 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32876983508383806 the lambda is 0.4864199841986478 the regulation term lambda/alpha is 1.4795152483335587 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3219158443393732 the lambda is 0.5019992526761821 the regulation term lambda/alpha is 1.5594114471326226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3524770976969284 the lambda is 0.5557571512360882 the regulation term lambda/alpha is 1.576718472965715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29588862978632197 the lambda is 0.49613752534163386 the regulation term lambda/alpha is 1.6767711746812408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34507355471906814 the lambda is 0.48515261841143315 the regulation term lambda/alpha is 1.4059397243767533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28906421840465796 the lambda is 0.5122850029744321 the regulation term lambda/alpha is 1.7722186640799995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3176450395988646 the lambda is 0.4647018038585044 the regulation term lambda/alpha is 1.4629594230256175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28699110108332726 the lambda is 0.5184785973983839 the regulation term lambda/alpha is 1.8066016522506902 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3443782837010641 the lambda is 0.5175804077956196 the regulation term lambda/alpha is 1.5029414811907909 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30623805608419524 the lambda is 0.5314186827519688 the regulation term lambda/alpha is 1.735312356495183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4039009186681119 the lambda is 0.573184281929838 the regulation term lambda/alpha is 1.4191210156687644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989685710850883 the lambda is 0.5156638406279266 the regulation term lambda/alpha is 1.7248095301668531 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3227363508979913 the lambda is 0.5184275726098608 the regulation term lambda/alpha is 1.6063501095162427 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33356808354124445 the lambda is 0.5479795498108494 the regulation term lambda/alpha is 1.6427817193820156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31387095389623876 the lambda is 0.5453042473453544 the regulation term lambda/alpha is 1.7373517382740176 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35631464020886966 the lambda is 0.5665834787584194 the regulation term lambda/alpha is 1.5901212434782117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30286379357582416 the lambda is 0.5219176267706025 the regulation term lambda/alpha is 1.7232750755990798 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29772328019836847 the lambda is 0.4789412022202333 the regulation term lambda/alpha is 1.6086790455255031 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2898898111245902 the lambda is 0.48362680909730693 the regulation term lambda/alpha is 1.668312546829911 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3284974413699237 the lambda is 0.5509502354171848 the regulation term lambda/alpha is 1.6771827297027715 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2812398409937075 the lambda is 0.47209493970879013 the regulation term lambda/alpha is 1.6786204189304488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.289240292819951 the lambda is 0.5036893940824907 the regulation term lambda/alpha is 1.7414219477230026 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.295258323423082 the lambda is 0.45037104554191204 the regulation term lambda/alpha is 1.525345806751621 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3436135397413965 the lambda is 0.5416484556640171 the regulation term lambda/alpha is 1.576330362510341 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31702793767466286 the lambda is 0.5312943497159918 the regulation term lambda/alpha is 1.675859716379984 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3392753118167093 the lambda is 0.5251219216007563 the regulation term lambda/alpha is 1.547775223575505 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2608415608402417 the lambda is 0.47703246861897475 the regulation term lambda/alpha is 1.8288207871564766 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30488436101118577 the lambda is 0.485799962103597 the regulation term lambda/alpha is 1.5933908859489638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2861296675640736 the lambda is 0.49115409539627153 the regulation term lambda/alpha is 1.7165437599590625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33558623502513685 the lambda is 0.5476344419683302 the regulation term lambda/alpha is 1.6318739710146635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34226798036916606 the lambda is 0.5636409574045821 the regulation term lambda/alpha is 1.6467826081675705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3045617504119203 the lambda is 0.5163312712990354 the regulation term lambda/alpha is 1.695325399859623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32552739047592505 the lambda is 0.5190876479472042 the regulation term lambda/alpha is 1.5946051334982647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3741240627877194 the lambda is 0.4737954377271606 the regulation term lambda/alpha is 1.266412628465428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30905261232173686 the lambda is 0.4451910538887232 the regulation term lambda/alpha is 1.4405024780222873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3265676074365042 the lambda is 0.5261447308481698 the regulation term lambda/alpha is 1.611135700133609 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3066486831074843 the lambda is 0.4913324990753866 the regulation term lambda/alpha is 1.6022651527356089 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30418848321753456 the lambda is 0.4731590557700946 the regulation term lambda/alpha is 1.5554798484324075 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35103334516418144 the lambda is 0.5047388285078399 the regulation term lambda/alpha is 1.4378657625011921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26360732069155407 the lambda is 0.4777241893588771 the regulation term lambda/alpha is 1.8122569134483955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3389147570904658 the lambda is 0.5369247283033863 the regulation term lambda/alpha is 1.584247121349355 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31198571073309134 the lambda is 0.4774096792458823 the regulation term lambda/alpha is 1.5302293112209673 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28773876901795814 the lambda is 0.4804747358107397 the regulation term lambda/alpha is 1.6698296772818704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2890908887440739 the lambda is 0.4891401278656956 the regulation term lambda/alpha is 1.6919942720807126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3062121784100009 the lambda is 0.4640111167011374 the regulation term lambda/alpha is 1.5153254815353967 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31479497004105333 the lambda is 0.5500826884177816 the regulation term lambda/alpha is 1.7474316325513197 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35078229241878106 the lambda is 0.4797612416207745 the regulation term lambda/alpha is 1.3676894529442554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39857753935847107 the lambda is 0.584990536392772 the regulation term lambda/alpha is 1.4676956893615762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34304313662860836 the lambda is 0.5152457019587988 the regulation term lambda/alpha is 1.501985164380722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2898116502264721 the lambda is 0.48846993772715175 the regulation term lambda/alpha is 1.68547378045513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31491911203585066 the lambda is 0.5006312348439531 the regulation term lambda/alpha is 1.5897137255580756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28790371210696136 the lambda is 0.4951896086621525 the regulation term lambda/alpha is 1.7199834105583909 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2981908544605259 the lambda is 0.5207765201844172 the regulation term lambda/alpha is 1.7464536970008144 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3360390360804051 the lambda is 0.5460217555136152 the regulation term lambda/alpha is 1.6248759723943706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2908783358572332 the lambda is 0.4923025701042561 the regulation term lambda/alpha is 1.692469013388073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087362834292573 the lambda is 0.5036735264032655 the regulation term lambda/alpha is 1.6314037365766092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29795300528624735 the lambda is 0.46815009484049425 the regulation term lambda/alpha is 1.571221254810759 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31751588683119925 the lambda is 0.4699004330556908 the regulation term lambda/alpha is 1.479927312441861 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3337929429110583 the lambda is 0.5133252852356625 the regulation term lambda/alpha is 1.537855416471288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30737960940915804 the lambda is 0.5020337706959076 the regulation term lambda/alpha is 1.6332695967078357 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2768860887522606 the lambda is 0.5115589236369853 the regulation term lambda/alpha is 1.8475428864708852 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35265896337687863 the lambda is 0.5234486525526341 the regulation term lambda/alpha is 1.4842913605267885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37004167632721774 the lambda is 0.48277866349815474 the regulation term lambda/alpha is 1.3046602433809287 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3219722597074598 the lambda is 0.5329047403707083 the regulation term lambda/alpha is 1.655126254836051 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3114864160661544 the lambda is 0.5234739956277542 the regulation term lambda/alpha is 1.6805676544064037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32678417145518385 the lambda is 0.5244321493597377 the regulation term lambda/alpha is 1.6048272687885063 910 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29559416463672267 the lambda is 0.4867750741858597 the regulation term lambda/alpha is 1.6467682127084384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3271109569834156 the lambda is 0.5439525474192836 the regulation term lambda/alpha is 1.6628991961490969 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3573559658590549 the lambda is 0.45852130108847333 the regulation term lambda/alpha is 1.2830940151963748 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31563416010244044 the lambda is 0.5214819873908494 the regulation term lambda/alpha is 1.6521722085518251 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31551137114758554 the lambda is 0.5226488891624119 the regulation term lambda/alpha is 1.6565136377222185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222571573614492 the lambda is 0.4978777396705197 the regulation term lambda/alpha is 1.5449703080204713 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31870023375053136 the lambda is 0.49046200655364575 the regulation term lambda/alpha is 1.5389446087998924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3516018936781614 the lambda is 0.5051984720913163 the regulation term lambda/alpha is 1.436847983969476 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32164799989396736 the lambda is 0.4823900273215386 the regulation term lambda/alpha is 1.4997451483626838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30197951816696433 the lambda is 0.5331598422392132 the regulation term lambda/alpha is 1.7655496818973972 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3138350151617917 the lambda is 0.4265112857277349 the regulation term lambda/alpha is 1.3590302710736566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28807191091176887 the lambda is 0.4840065821161236 the regulation term lambda/alpha is 1.6801588901333941 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35464382616090406 the lambda is 0.5256329008396674 the regulation term lambda/alpha is 1.482143102644016 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3214636874636028 the lambda is 0.48134948446157205 the regulation term lambda/alpha is 1.497368142136029 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2741760925798659 the lambda is 0.49001153500890254 the regulation term lambda/alpha is 1.787214670681635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32994048120150976 the lambda is 0.5136504921691144 the regulation term lambda/alpha is 1.556797426913506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023133071385444 the lambda is 0.523761257672896 the regulation term lambda/alpha is 1.73251142210841 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3132782614531992 the lambda is 0.5052028970726474 the regulation term lambda/alpha is 1.612633110031862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32901614414715696 the lambda is 0.530563073894065 the regulation term lambda/alpha is 1.61257459043336 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33108809702862424 the lambda is 0.553731663469995 the regulation term lambda/alpha is 1.6724601954570482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30461979145709667 the lambda is 0.5157959854914387 the regulation term lambda/alpha is 1.6932451533244666 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29762914299842175 the lambda is 0.5445577476267875 the regulation term lambda/alpha is 1.829651969362675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34154841253054646 the lambda is 0.525938052207886 the regulation term lambda/alpha is 1.5398638462734726 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31213792505133237 the lambda is 0.5497315060271079 the regulation term lambda/alpha is 1.7611813942080323 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321759296178234 the lambda is 0.5275967088688835 the regulation term lambda/alpha is 1.6397248351035327 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34014677535717924 the lambda is 0.48697285491354053 the regulation term lambda/alpha is 1.4316550683221472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35355640291709806 the lambda is 0.5452066173255361 the regulation term lambda/alpha is 1.5420640464355448 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.33084063584528756 the lambda is 0.5462401663000982 the regulation term lambda/alpha is 1.6510673330815955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2885008727144988 the lambda is 0.44699733555535404 the regulation term lambda/alpha is 1.549379491817703 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33698313446144584 the lambda is 0.5411940512258363 the regulation term lambda/alpha is 1.605997439874114 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2963134838366954 the lambda is 0.5304798468526387 the regulation term lambda/alpha is 1.7902656334903655 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31155411141307654 the lambda is 0.508882490315717 the regulation term lambda/alpha is 1.6333679180404428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3026019988875526 the lambda is 0.5312541203285654 the regulation term lambda/alpha is 1.7556199968328046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.319228732234152 the lambda is 0.5362176215752188 the regulation term lambda/alpha is 1.6797285689870392 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31521642809913347 the lambda is 0.5634305956333935 the regulation term lambda/alpha is 1.7874404548997627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3012857761483393 the lambda is 0.5149075658810299 the regulation term lambda/alpha is 1.7090337700758667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3692371906942384 the lambda is 0.6020391606616139 the regulation term lambda/alpha is 1.6304943701084447 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.4032251028699531 the lambda is 0.5695365681379045 the regulation term lambda/alpha is 1.4124531535468159 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31402499917690496 the lambda is 0.4947649206535801 the regulation term lambda/alpha is 1.5755590222129285 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3191885856894607 the lambda is 0.5398082875360406 the regulation term lambda/alpha is 1.6911891957854073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29311189633342577 the lambda is 0.5199456167813048 the regulation term lambda/alpha is 1.7738809761233545 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30294590358750606 the lambda is 0.49638008568580433 the regulation term lambda/alpha is 1.6385106377331315 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32959568923102806 the lambda is 0.5378873772022711 the regulation term lambda/alpha is 1.6319612020933996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32566946276058684 the lambda is 0.47547923656378005 the regulation term lambda/alpha is 1.460005591354215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29499252513717245 the lambda is 0.4636860833729255 the regulation term lambda/alpha is 1.5718570603011381 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27780788993078936 the lambda is 0.4858880204954099 the regulation term lambda/alpha is 1.7490072748346341 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3299442572389801 the lambda is 0.4662663387444967 the regulation term lambda/alpha is 1.4131670078039211 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.344214254464524 the lambda is 0.5235881710197422 the regulation term lambda/alpha is 1.5211112387959085 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3043134425848326 the lambda is 0.4947101566507767 the regulation term lambda/alpha is 1.625659886887408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491993135699387 the lambda is 0.5408652481323176 the regulation term lambda/alpha is 1.5488725982961917 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33118478244992 the lambda is 0.500532230363648 the regulation term lambda/alpha is 1.511338252503603 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3428082269820808 the lambda is 0.5127794599114327 the regulation term lambda/alpha is 1.4958201686864319 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.343173437919763 the lambda is 0.5429778001652837 the regulation term lambda/alpha is 1.582225604221259 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29584526021482527 the lambda is 0.5154994009787882 the regulation term lambda/alpha is 1.7424629368895859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3014565264300529 the lambda is 0.5093423952296555 the regulation term lambda/alpha is 1.6896048039213325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.310401625428217 the lambda is 0.6077609314662145 the regulation term lambda/alpha is 1.9579824384868254 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32493364885949977 the lambda is 0.5457099507841909 the regulation term lambda/alpha is 1.6794504130292585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3449055775333393 the lambda is 0.5334891147998498 the regulation term lambda/alpha is 1.5467685927702393 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3247927707127935 the lambda is 0.5406809847467825 the regulation term lambda/alpha is 1.66469525648677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29844432801203474 the lambda is 0.5076132549820938 the regulation term lambda/alpha is 1.7008641389278616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2752386024267141 the lambda is 0.4533676384400604 the regulation term lambda/alpha is 1.647180426156885 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3299137044198561 the lambda is 0.522224327448318 the regulation term lambda/alpha is 1.5829118962082362 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32268057641962805 the lambda is 0.5032359985208901 the regulation term lambda/alpha is 1.559548467728221 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31578917251435057 the lambda is 0.494174759598764 the regulation term lambda/alpha is 1.564888231170456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34013861210491886 the lambda is 0.44418096104331684 the regulation term lambda/alpha is 1.305882205770585 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3120666611376477 the lambda is 0.4765171256887647 the regulation term lambda/alpha is 1.5269722307138105 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3198289951120301 the lambda is 0.5216333668749378 the regulation term lambda/alpha is 1.630975849116555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3472230779581563 the lambda is 0.5468485348238804 the regulation term lambda/alpha is 1.5749198988719892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2730454081376827 the lambda is 0.5078977841197646 the regulation term lambda/alpha is 1.8601220492367996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31534567103908134 the lambda is 0.5551681044588972 the regulation term lambda/alpha is 1.760506502688265 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31869570711584505 the lambda is 0.5082702290042699 the regulation term lambda/alpha is 1.5948449183832747 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3076044439444131 the lambda is 0.5321587375552851 the regulation term lambda/alpha is 1.730009913808173 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27519862831464 the lambda is 0.4676079717144186 the regulation term lambda/alpha is 1.6991653431491427 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31352578335421677 the lambda is 0.5476268363139133 the regulation term lambda/alpha is 1.7466724122501038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31246910227997987 the lambda is 0.5392806464244987 the regulation term lambda/alpha is 1.7258687098646002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33448658589234775 the lambda is 0.5061356562267002 the regulation term lambda/alpha is 1.5131717610630775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3098749516691483 the lambda is 0.45849844523126376 the regulation term lambda/alpha is 1.4796240959830786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3189095381529295 the lambda is 0.5220883907066587 the regulation term lambda/alpha is 1.6371049725590117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973143451256123 the lambda is 0.4759546051128311 the regulation term lambda/alpha is 1.6008464203492945 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3533072834449239 the lambda is 0.5775527868743594 the regulation term lambda/alpha is 1.63470387941887 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3052038890719407 the lambda is 0.4768181818121815 the regulation term lambda/alpha is 1.5622939250940837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26738331506371643 the lambda is 0.47086596390808666 the regulation term lambda/alpha is 1.7610147581418125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3579832196029826 the lambda is 0.517826497502499 the regulation term lambda/alpha is 1.4465105321886003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32304789404202455 the lambda is 0.4881137625580021 the regulation term lambda/alpha is 1.5109640754831992 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32938658802097104 the lambda is 0.43022656844757 the regulation term lambda/alpha is 1.3061447675585953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29247005312314944 the lambda is 0.48340158262315813 the regulation term lambda/alpha is 1.652824203576199 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3173843498985597 the lambda is 0.4842298692875779 the regulation term lambda/alpha is 1.525689182350498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3405276850740286 the lambda is 0.5637920317788737 the regulation term lambda/alpha is 1.6556422766516292 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3523079955877917 the lambda is 0.5066206857388234 the regulation term lambda/alpha is 1.438005075342034 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30545259818321685 the lambda is 0.507744761149566 the regulation term lambda/alpha is 1.6622702316809566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3223920938862623 the lambda is 0.5115949278372902 the regulation term lambda/alpha is 1.5868718170792904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29061647344628294 the lambda is 0.5622664456618717 the regulation term lambda/alpha is 1.934737005766468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34274164785945394 the lambda is 0.5503832291205368 the regulation term lambda/alpha is 1.6058253572563475 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34831645230557395 the lambda is 0.531847840583577 the regulation term lambda/alpha is 1.5269099035178308 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28527348552057225 the lambda is 0.4741375711093491 the regulation term lambda/alpha is 1.6620457041219034 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3705526162987375 the lambda is 0.5206172741496999 the regulation term lambda/alpha is 1.4049753024277156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38565877919327535 the lambda is 0.5458241733734325 the regulation term lambda/alpha is 1.4153033791041723 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.281400998986327 the lambda is 0.5246005876068791 the regulation term lambda/alpha is 1.8642456476580205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34607864284573775 the lambda is 0.55307094675249 the regulation term lambda/alpha is 1.5981077081344708 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3624849116298108 the lambda is 0.5228424517357505 the regulation term lambda/alpha is 1.4423840412692972 920 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3254621672795542 the lambda is 0.48443201143164544 the regulation term lambda/alpha is 1.4884433895370237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33962737108879415 the lambda is 0.4948407729057517 the regulation term lambda/alpha is 1.4570108743572898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3706120345109976 the lambda is 0.5331995785631434 the regulation term lambda/alpha is 1.4387001201044947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3277081480208524 the lambda is 0.5200017769541954 the regulation term lambda/alpha is 1.586783179163147 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33775298769829576 the lambda is 0.5347490419429177 the regulation term lambda/alpha is 1.5832548087497376 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3260803008183824 the lambda is 0.5292506226612849 the regulation term lambda/alpha is 1.6230683709901956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3057963572747246 the lambda is 0.5072147589578021 the regulation term lambda/alpha is 1.6586684140979648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3303265809636787 the lambda is 0.4736867328535715 the regulation term lambda/alpha is 1.4339952039937593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058293119860442 the lambda is 0.5012723907389921 the regulation term lambda/alpha is 1.6390593415776527 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3423098724302592 the lambda is 0.5224008235444845 the regulation term lambda/alpha is 1.526105045804416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3155045274938559 the lambda is 0.5516856776139203 the regulation term lambda/alpha is 1.7485824434790838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33313818798253036 the lambda is 0.5432938630043466 the regulation term lambda/alpha is 1.630836339401704 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.332875069773162 the lambda is 0.516797887273574 the regulation term lambda/alpha is 1.5525280629328786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32703858337355696 the lambda is 0.5043187689733475 the regulation term lambda/alpha is 1.542077279601269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129983854024169 the lambda is 0.5195563098059253 the regulation term lambda/alpha is 1.6599328751742288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29731088899146585 the lambda is 0.4948671202633576 the regulation term lambda/alpha is 1.6644769451332222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.356641167247659 the lambda is 0.5673212107418322 the regulation term lambda/alpha is 1.590733944485642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3422102251635028 the lambda is 0.5199886545559455 the regulation term lambda/alpha is 1.5195006353404632 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30871079120987316 the lambda is 0.5376803393728091 the regulation term lambda/alpha is 1.7416959649048156 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2874990651428509 the lambda is 0.5119794657729068 the regulation term lambda/alpha is 1.7808039324180664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3253344419653372 the lambda is 0.49324562058427057 the regulation term lambda/alpha is 1.5161186673153515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3063921118624667 the lambda is 0.5045832863048372 the regulation term lambda/alpha is 1.6468546896903618 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32620672706795983 the lambda is 0.5475722175077626 the regulation term lambda/alpha is 1.6786049215768777 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3009643268806555 the lambda is 0.49754340843863565 the regulation term lambda/alpha is 1.6531640596592423 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31226903167711306 the lambda is 0.5292529379718197 the regulation term lambda/alpha is 1.6948620717505811 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30620094725278457 the lambda is 0.5081443282789276 the regulation term lambda/alpha is 1.6595125940594444 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3493960674069099 the lambda is 0.49983716341085976 the regulation term lambda/alpha is 1.4305746688005643 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3048328725759388 the lambda is 0.48969532762768875 the regulation term lambda/alpha is 1.6064387134156528 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3125355236469826 the lambda is 0.4727282027201689 the regulation term lambda/alpha is 1.5125583076249862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3401024039490126 the lambda is 0.5407835817461443 the regulation term lambda/alpha is 1.5900610388723315 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3129091533347913 the lambda is 0.49555667037628026 the regulation term lambda/alpha is 1.5837078113405927 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124762764301219 the lambda is 0.49920655352603366 the regulation term lambda/alpha is 1.5975822524167518 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30698396331184313 the lambda is 0.531758778844212 the regulation term lambda/alpha is 1.7322037708661546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3456735223436815 the lambda is 0.5121133900370441 the regulation term lambda/alpha is 1.4814944071067206 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202962003072715 the lambda is 0.510981492197683 the regulation term lambda/alpha is 1.595340474559112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29485515920175565 the lambda is 0.4995077412653504 the regulation term lambda/alpha is 1.6940783489006566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240814737788019 the lambda is 0.48042085769803067 the regulation term lambda/alpha is 1.4824076553846346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35132704287862415 the lambda is 0.514187229151614 the regulation term lambda/alpha is 1.4635572170550346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336402421474089 the lambda is 0.5155104389869484 the regulation term lambda/alpha is 1.5451086945296773 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2919864865183756 the lambda is 0.49867055642700947 the regulation term lambda/alpha is 1.7078549160720375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38061155487386306 the lambda is 0.5062502014765358 the regulation term lambda/alpha is 1.3300967745036278 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295927571391128 the lambda is 0.5643414187857948 the regulation term lambda/alpha is 1.7122385324371692 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29193489300842124 the lambda is 0.5136605444244728 the regulation term lambda/alpha is 1.7595037685668347 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36763370660628103 the lambda is 0.540530982110633 the regulation term lambda/alpha is 1.4702976696571435 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3005945152911524 the lambda is 0.5132354762401591 the regulation term lambda/alpha is 1.7074013334642686 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2957563596532514 the lambda is 0.48972696919305303 the regulation term lambda/alpha is 1.6558459461944124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314638606389175 the lambda is 0.49610822174966573 the regulation term lambda/alpha is 1.4967188905402413 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211722823136448 the lambda is 0.5185236982587803 the regulation term lambda/alpha is 1.614472128551895 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29430097543434103 the lambda is 0.5322558510771425 the regulation term lambda/alpha is 1.8085425992612434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30284464123758353 the lambda is 0.5176063601135438 the regulation term lambda/alpha is 1.7091481559598682 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193428432769098 the lambda is 0.506830328689474 the regulation term lambda/alpha is 1.587104077513299 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31514995439360854 the lambda is 0.5327227961754167 the regulation term lambda/alpha is 1.690378782381384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3065218973364969 the lambda is 0.5115950573162166 the regulation term lambda/alpha is 1.6690326588791544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.341703826169431 the lambda is 0.5354124455348488 the regulation term lambda/alpha is 1.5668904019511007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28484053970223366 the lambda is 0.5168032008085428 the regulation term lambda/alpha is 1.8143597163128466 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34738545971079177 the lambda is 0.5243575513190719 the regulation term lambda/alpha is 1.5094401238198467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29561840520724997 the lambda is 0.5306377093998643 the regulation term lambda/alpha is 1.7950090388582158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.272241683737354 the lambda is 0.48715377468169774 the regulation term lambda/alpha is 1.7894165507427613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2826862251425508 the lambda is 0.4829211034353077 the regulation term lambda/alpha is 1.7083290959500554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3429054255579803 the lambda is 0.5450964682476492 the regulation term lambda/alpha is 1.589640838609249 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36420166413596966 the lambda is 0.48135009579842747 the regulation term lambda/alpha is 1.3216581449191898 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3002153705133103 the lambda is 0.48236167287576837 the regulation term lambda/alpha is 1.6067187767602407 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3397821335871061 the lambda is 0.48179929403595484 the regulation term lambda/alpha is 1.417965356063789 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33929363041799954 the lambda is 0.505683777737112 the regulation term lambda/alpha is 1.4904016238504827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27535123096788605 the lambda is 0.46610669433450186 the regulation term lambda/alpha is 1.6927714203277466 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3034028552736076 the lambda is 0.47107564553472064 the regulation term lambda/alpha is 1.5526407789073253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.335705517904505 the lambda is 0.5600817804546496 the regulation term lambda/alpha is 1.6683722804162273 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3516008415587698 the lambda is 0.5390260031188208 the regulation term lambda/alpha is 1.5330623235403236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3268863478123646 the lambda is 0.5050324888286849 the regulation term lambda/alpha is 1.5449788350248803 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29734056230318695 the lambda is 0.5470772714413961 the regulation term lambda/alpha is 1.8399012472558722 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28424458564114147 the lambda is 0.532147215305388 the regulation term lambda/alpha is 1.8721454767733847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3374293111285596 the lambda is 0.49778778821499975 the regulation term lambda/alpha is 1.4752357658263542 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2871928818964666 the lambda is 0.5152354803897593 the regulation term lambda/alpha is 1.7940398696075706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3643269867511978 the lambda is 0.5324843336741678 the regulation term lambda/alpha is 1.4615561104118981 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3307578062182238 the lambda is 0.46979307532895354 the regulation term lambda/alpha is 1.4203537044232255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3095609615846805 the lambda is 0.4807788581413651 the regulation term lambda/alpha is 1.5530991236110627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31592527626389055 the lambda is 0.5166324816243446 the regulation term lambda/alpha is 1.6352996117753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3005295638242224 the lambda is 0.5197233221538444 the regulation term lambda/alpha is 1.729358388374153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3060086194197494 the lambda is 0.5043071133094278 the regulation term lambda/alpha is 1.6480160404164108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2749918878152161 the lambda is 0.5032937734135328 the regulation term lambda/alpha is 1.8302131652397204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26778400396263247 the lambda is 0.47527833556038285 the regulation term lambda/alpha is 1.7748570808086985 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3007448060113573 the lambda is 0.5397715411263714 the regulation term lambda/alpha is 1.794782587553607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3040179563633203 the lambda is 0.47352181664073884 the regulation term lambda/alpha is 1.5575455552199389 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29696994641520036 the lambda is 0.5170766048258683 the regulation term lambda/alpha is 1.7411748598389543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2862608437779043 the lambda is 0.5170526677468693 the regulation term lambda/alpha is 1.8062291053261377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3192936949743411 the lambda is 0.5119333374863099 the regulation term lambda/alpha is 1.603330555986862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32055870968024197 the lambda is 0.540994669221507 the regulation term lambda/alpha is 1.6876617383478687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3192826826590529 the lambda is 0.48938865936145115 the regulation term lambda/alpha is 1.532775455548419 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2989517514856359 the lambda is 0.510620837483052 the regulation term lambda/alpha is 1.7080376179284114 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29878841051221317 the lambda is 0.45710371621353985 the regulation term lambda/alpha is 1.529857585272222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3300032879935976 the lambda is 0.4487024114537646 the regulation term lambda/alpha is 1.3596907296950018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3212701738337889 the lambda is 0.5429273191411449 the regulation term lambda/alpha is 1.689940004894546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30526518622854754 the lambda is 0.5219599527320145 the regulation term lambda/alpha is 1.7098574494545564 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3406437625126482 the lambda is 0.523596944045278 the regulation term lambda/alpha is 1.5370806739073541 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3359061762843425 the lambda is 0.5250538395044855 the regulation term lambda/alpha is 1.5630967114460874 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36105227516615346 the lambda is 0.592494757274966 the regulation term lambda/alpha is 1.6410220846892727 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3523117600676035 the lambda is 0.5015711389967421 the regulation term lambda/alpha is 1.4236571010303427 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33948629323162643 the lambda is 0.5257352422010796 the regulation term lambda/alpha is 1.5486199374841279 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3132507491235875 the lambda is 0.5202923899648946 the regulation term lambda/alpha is 1.6609453973232877 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3144303214099066 the lambda is 0.5108669531407872 the regulation term lambda/alpha is 1.6247381958904539 930 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2875219721499231 the lambda is 0.5072850220005072 the regulation term lambda/alpha is 1.764334802684202 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28815513383975333 the lambda is 0.492355203528402 the regulation term lambda/alpha is 1.7086463009269406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211539005716401 the lambda is 0.5310487866535692 the regulation term lambda/alpha is 1.6535648040030817 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3091222124706676 the lambda is 0.5522681086412236 the regulation term lambda/alpha is 1.7865688273489175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3220783157001463 the lambda is 0.5544669214816795 the regulation term lambda/alpha is 1.7215282571146024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3363992682745371 the lambda is 0.5287027084137059 the regulation term lambda/alpha is 1.571652373459472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32621656746857924 the lambda is 0.49870050461696563 the regulation term lambda/alpha is 1.5287405801822123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193717295736712 the lambda is 0.5152833448553815 the regulation term lambda/alpha is 1.613428168934152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34009996006167664 the lambda is 0.5280646830130498 the regulation term lambda/alpha is 1.552674933914388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34624487195614156 the lambda is 0.5610149654172802 the regulation term lambda/alpha is 1.6202838247041051 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3404846118694799 the lambda is 0.5408253745766619 the regulation term lambda/alpha is 1.5883988753770166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089059628561797 the lambda is 0.5199709997284364 the regulation term lambda/alpha is 1.683266308363637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087338609351632 the lambda is 0.4983811183918764 the regulation term lambda/alpha is 1.61427423892626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2528445424042716 the lambda is 0.5268004717037199 the regulation term lambda/alpha is 2.083495521376221 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2708059478140642 the lambda is 0.5043094365280164 the regulation term lambda/alpha is 1.862253915022118 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3283187240528093 the lambda is 0.5578375214992438 the regulation term lambda/alpha is 1.699073128127523 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2711278857142453 the lambda is 0.4724226534230273 the regulation term lambda/alpha is 1.7424347635010007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31035045043730913 the lambda is 0.47940666793446396 the regulation term lambda/alpha is 1.5447268314221578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29171892611418754 the lambda is 0.5480847988144169 the regulation term lambda/alpha is 1.8788112451774213 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33647018759237696 the lambda is 0.5190827837275973 the regulation term lambda/alpha is 1.542730389999514 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30517370621189316 the lambda is 0.5467515411514925 the regulation term lambda/alpha is 1.791607632054195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31700714292834503 the lambda is 0.5029646818911255 the regulation term lambda/alpha is 1.5866036242748434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.295945576564861 the lambda is 0.5077130427037945 the regulation term lambda/alpha is 1.715562194228375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224685004114276 the lambda is 0.5412210741788043 the regulation term lambda/alpha is 1.6783688127314047 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3436967833333583 the lambda is 0.5319642466539134 the regulation term lambda/alpha is 1.5477719677636632 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3120007681687953 the lambda is 0.49881499199586743 the regulation term lambda/alpha is 1.5987620637074968 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30762411279176854 the lambda is 0.4786029628592175 the regulation term lambda/alpha is 1.5558044475635266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3398828899631712 the lambda is 0.4791786521182814 the regulation term lambda/alpha is 1.4098345820532594 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27686753219417776 the lambda is 0.48442804308262094 the regulation term lambda/alpha is 1.7496744354367744 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31776876298024853 the lambda is 0.5401796733095421 the regulation term lambda/alpha is 1.699914328404639 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36663871730280845 the lambda is 0.560605296117423 the regulation term lambda/alpha is 1.5290400867686236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32764539264001913 the lambda is 0.5272943154708472 the regulation term lambda/alpha is 1.6093445148797816 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3086640990568909 the lambda is 0.533772854313871 the regulation term lambda/alpha is 1.7293000901134588 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31842304829258244 the lambda is 0.5141040690616443 the regulation term lambda/alpha is 1.6145315856321452 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3043358953874687 the lambda is 0.5329433502011601 the regulation term lambda/alpha is 1.751168226549935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31543069612741215 the lambda is 0.5005109238780259 the regulation term lambda/alpha is 1.586754016089335 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3124106789380656 the lambda is 0.50747658091026 the regulation term lambda/alpha is 1.6243893538955037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.279804609085964 the lambda is 0.4797169134448034 the regulation term lambda/alpha is 1.7144710911371035 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3087741639577517 the lambda is 0.467329611079526 the regulation term lambda/alpha is 1.5134997212508647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3058339496628935 the lambda is 0.48566822401367565 the regulation term lambda/alpha is 1.5880127910881217 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30411093219298707 the lambda is 0.5299946046248619 the regulation term lambda/alpha is 1.7427673540145223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2848730943309052 the lambda is 0.5007827019076827 the regulation term lambda/alpha is 1.7579150571727196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29247497186591087 the lambda is 0.5305637156857055 the regulation term lambda/alpha is 1.8140482664238007 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2889266021318652 the lambda is 0.48604035743444635 the regulation term lambda/alpha is 1.6822277832783947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2891845388230828 the lambda is 0.5489048784506728 the regulation term lambda/alpha is 1.8981128129622504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2930077551474235 the lambda is 0.48111538510261215 the regulation term lambda/alpha is 1.6419885707821775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36506906774694314 the lambda is 0.5328816555701116 the regulation term lambda/alpha is 1.4596735320766534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31381683199450683 the lambda is 0.5242279397250966 the regulation term lambda/alpha is 1.670490191342805 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3643891199822769 the lambda is 0.5231847292625723 the regulation term lambda/alpha is 1.4357858140441155 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3487010000044755 the lambda is 0.5350984206513562 the regulation term lambda/alpha is 1.5345479956882495 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29331355321545244 the lambda is 0.4797503180691093 the regulation term lambda/alpha is 1.635622741635503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3115390454219855 the lambda is 0.5324120019510223 the regulation term lambda/alpha is 1.7089735934378956 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31009177819762845 the lambda is 0.5784486283849513 the regulation term lambda/alpha is 1.8654110461977258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3687248282824266 the lambda is 0.5544023124664169 the regulation term lambda/alpha is 1.5035665351012646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2931271101024338 the lambda is 0.49289759374619574 the regulation term lambda/alpha is 1.6815148676420675 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35887211189447693 the lambda is 0.5429988963800825 the regulation term lambda/alpha is 1.513070752457205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31559903151207386 the lambda is 0.5203424721160433 the regulation term lambda/alpha is 1.6487454654820024 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31660199675069517 the lambda is 0.4699876929411085 the regulation term lambda/alpha is 1.4844748225362432 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2962077355088433 the lambda is 0.511916950850411 the regulation term lambda/alpha is 1.7282362662508108 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30750657310890733 the lambda is 0.5529280806323431 the regulation term lambda/alpha is 1.798101663461082 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222507698995038 the lambda is 0.5064894886843407 the regulation term lambda/alpha is 1.5717246815028343 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31564547583550173 the lambda is 0.5093893328576479 the regulation term lambda/alpha is 1.6138021034811711 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.324968017990459 the lambda is 0.5048866021919505 the regulation term lambda/alpha is 1.5536501262926552 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3517041004272327 the lambda is 0.5629533779540242 the regulation term lambda/alpha is 1.6006449093717598 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32416871981457684 the lambda is 0.5322474090174241 the regulation term lambda/alpha is 1.6418839218104306 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29843541376489147 the lambda is 0.5188729047654297 the regulation term lambda/alpha is 1.7386438768094719 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35200745997708105 the lambda is 0.5273041523267509 the regulation term lambda/alpha is 1.497991412912338 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.334594247705649 the lambda is 0.5633134062421883 the regulation term lambda/alpha is 1.6835716994685137 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.25497462493814016 the lambda is 0.48457893659317436 the regulation term lambda/alpha is 1.9004986739787886 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30143687295395594 the lambda is 0.45717736261439657 the regulation term lambda/alpha is 1.5166603811081525 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32479638547523787 the lambda is 0.5590848022663901 the regulation term lambda/alpha is 1.7213393598834066 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3355683686102582 the lambda is 0.49653819890462475 the regulation term lambda/alpha is 1.4796930978954188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3370942182078789 the lambda is 0.5345439325080077 the regulation term lambda/alpha is 1.5857404358634408 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29173731097528716 the lambda is 0.5333253778220102 the regulation term lambda/alpha is 1.8281013698216604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3039303975081965 the lambda is 0.5022097369916155 the regulation term lambda/alpha is 1.6523840363090756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35431124916767576 the lambda is 0.5065490114372315 the regulation term lambda/alpha is 1.4296723929234043 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3095778499819712 the lambda is 0.48812750322293763 the regulation term lambda/alpha is 1.5767520294212412 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33735166355715523 the lambda is 0.49123833565500263 the regulation term lambda/alpha is 1.4561609996975022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31467260875038816 the lambda is 0.5171666313577852 the regulation term lambda/alpha is 1.6435069878230932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28996106115580955 the lambda is 0.4978637281741615 the regulation term lambda/alpha is 1.7170020215460455 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27369603590174857 the lambda is 0.47805502993243665 the regulation term lambda/alpha is 1.7466640624055252 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34115442799843587 the lambda is 0.5103346106477511 the regulation term lambda/alpha is 1.4959049883711046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3331202139839825 the lambda is 0.5314607912567106 the regulation term lambda/alpha is 1.5954024071390185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2808605621183221 the lambda is 0.541979983659461 the regulation term lambda/alpha is 1.9297119523357409 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3666345080938921 the lambda is 0.5192855830916515 the regulation term lambda/alpha is 1.4163576303588608 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32816729824402413 the lambda is 0.5243673242623418 the regulation term lambda/alpha is 1.5978658661851919 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33411849934782034 the lambda is 0.48143418727589904 the regulation term lambda/alpha is 1.4409085046641543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3507751122850594 the lambda is 0.5151227413752966 the regulation term lambda/alpha is 1.468527051476443 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133190123202593 the lambda is 0.5234685870507401 the regulation term lambda/alpha is 1.6707207876542014 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3619396578461516 the lambda is 0.5322633607593409 the regulation term lambda/alpha is 1.47058590906219 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28387893809014003 the lambda is 0.5015919452082588 the regulation term lambda/alpha is 1.7669220146546707 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3425903488852032 the lambda is 0.544673892819392 the regulation term lambda/alpha is 1.589869342763955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33548568689505776 the lambda is 0.4964752709106903 the regulation term lambda/alpha is 1.4798702010377904 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32196825893021086 the lambda is 0.5448445909411906 the regulation term lambda/alpha is 1.6922307582477873 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28913790019737245 the lambda is 0.5127285471204172 the regulation term lambda/alpha is 1.7733010676580843 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3545250176155613 the lambda is 0.5115156013573001 the regulation term lambda/alpha is 1.442819479419576 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29844157551038136 the lambda is 0.4999113801910301 the regulation term lambda/alpha is 1.6750728491367335 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3046740828993568 the lambda is 0.5083183139788384 the regulation term lambda/alpha is 1.668400243110772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30635021119427797 the lambda is 0.49289614080725574 the regulation term lambda/alpha is 1.6089303117688274 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32860406467734093 the lambda is 0.5018710982010078 the regulation term lambda/alpha is 1.5272820763608 940 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30076276146242253 the lambda is 0.5448239797445601 the regulation term lambda/alpha is 1.811474190140493 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3230149646900172 the lambda is 0.5046780631567145 the regulation term lambda/alpha is 1.56239839736537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3261748947590864 the lambda is 0.5780245918732912 the regulation term lambda/alpha is 1.7721308450186568 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33442344600354185 the lambda is 0.5126614140867617 the regulation term lambda/alpha is 1.532970909226658 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28945936885424745 the lambda is 0.48195305195897253 the regulation term lambda/alpha is 1.665011064822891 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.33709441881367797 the lambda is 0.5538698081820886 the regulation term lambda/alpha is 1.643070241658996 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3533290375922862 the lambda is 0.5345075056549176 the regulation term lambda/alpha is 1.5127754834339346 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3054805100357425 the lambda is 0.49720956236780894 the regulation term lambda/alpha is 1.627631046935313 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3360461131431492 the lambda is 0.5140882205032314 the regulation term lambda/alpha is 1.5298145117489865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29648901853612575 the lambda is 0.5336579854791932 the regulation term lambda/alpha is 1.7999249621927214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2850903784683665 the lambda is 0.5021903693279802 the regulation term lambda/alpha is 1.7615128648885745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3385020914531853 the lambda is 0.5611103775323794 the regulation term lambda/alpha is 1.6576275057076881 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30491210696699594 the lambda is 0.5487758726495177 the regulation term lambda/alpha is 1.7997838069083882 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2924210919924304 the lambda is 0.46840686742886334 the regulation term lambda/alpha is 1.601823125128705 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30927682622338404 the lambda is 0.49720249377200626 the regulation term lambda/alpha is 1.607629319801955 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3131820836874009 the lambda is 0.48464787245987234 the regulation term lambda/alpha is 1.5474955232228993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28634460507409887 the lambda is 0.5158336611716667 the regulation term lambda/alpha is 1.8014436173441501 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3350518048229367 the lambda is 0.5278221262596248 the regulation term lambda/alpha is 1.575344823283553 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3488839853272725 the lambda is 0.5366055732518331 the regulation term lambda/alpha is 1.5380630691559756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3421998918290568 the lambda is 0.5644455797167927 the regulation term lambda/alpha is 1.649461595969051 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2814344295403355 the lambda is 0.5045266062369451 the regulation term lambda/alpha is 1.7926968177311646 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321609873398398 the lambda is 0.5468553732971999 the regulation term lambda/alpha is 1.700368734077316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34091279645968847 the lambda is 0.5257367163325857 the regulation term lambda/alpha is 1.54214427206094 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31938434712856656 the lambda is 0.5071997175256356 the regulation term lambda/alpha is 1.5880543993017446 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30062365238056354 the lambda is 0.4781048481392137 the regulation term lambda/alpha is 1.5903766864424038 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35134676237461515 the lambda is 0.5215110515284131 the regulation term lambda/alpha is 1.4843200717255063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31211440463217943 the lambda is 0.5006541481948166 the regulation term lambda/alpha is 1.6040725476442763 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32678082145099185 the lambda is 0.49381132269934513 the regulation term lambda/alpha is 1.5111392416075533 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073566865179323 the lambda is 0.5168855303618366 the regulation term lambda/alpha is 1.6817123330475507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29226065889059105 the lambda is 0.5416592823157199 the regulation term lambda/alpha is 1.853343123127948 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3219108401079159 the lambda is 0.4760536356545991 the regulation term lambda/alpha is 1.4788369211021573 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35230158881322404 the lambda is 0.49009106649575496 the regulation term lambda/alpha is 1.3911122800969862 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.341510426220024 the lambda is 0.5433810603098687 the regulation term lambda/alpha is 1.591111188973733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282013323673177 the lambda is 0.4952537175731021 the regulation term lambda/alpha is 1.508993622910775 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314525355229124 the lambda is 0.5406921957970533 the regulation term lambda/alpha is 1.6312809161168018 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37354703872725614 the lambda is 0.5594247003200262 the regulation term lambda/alpha is 1.4976017537873936 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3722905988151105 the lambda is 0.5462657610630092 the regulation term lambda/alpha is 1.4673101142000617 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30298466281766817 the lambda is 0.4990193522098087 the regulation term lambda/alpha is 1.647011923207847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3441880504591547 the lambda is 0.5370135725661754 the regulation term lambda/alpha is 1.5602330523961745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2909937256552854 the lambda is 0.4895395207460823 the regulation term lambda/alpha is 1.682302666986011 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34951070410211854 the lambda is 0.5050196427999682 the regulation term lambda/alpha is 1.4449332649120061 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.353714450597914 the lambda is 0.5307603510627737 the regulation term lambda/alpha is 1.5005334109635153 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3236476601103857 the lambda is 0.5000623401861068 the regulation term lambda/alpha is 1.5450825135443644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33684631691118844 the lambda is 0.45862833815182985 the regulation term lambda/alpha is 1.3615358551560175 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30444219976234743 the lambda is 0.5373259199161776 the regulation term lambda/alpha is 1.7649521660782344 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33019150918406787 the lambda is 0.5204293458138646 the regulation term lambda/alpha is 1.576143938709663 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2936156759698589 the lambda is 0.49372359419676065 the regulation term lambda/alpha is 1.6815300905372772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3185114620122196 the lambda is 0.5229588673109351 the regulation term lambda/alpha is 1.6418839812140638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31312946330464714 the lambda is 0.5315004825980438 the regulation term lambda/alpha is 1.6973825362480857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3160287642780962 the lambda is 0.5107314285528468 the regulation term lambda/alpha is 1.6160915912812859 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28187841063715785 the lambda is 0.484361278753697 the regulation term lambda/alpha is 1.718334077657267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3456203091378112 the lambda is 0.5015556003612727 the regulation term lambda/alpha is 1.4511751395988841 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3237703688408927 the lambda is 0.5661649183394677 the regulation term lambda/alpha is 1.7486619308813047 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32448161407851156 the lambda is 0.5600202602022395 the regulation term lambda/alpha is 1.725892118086965 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31502586289569934 the lambda is 0.5345110218117947 the regulation term lambda/alpha is 1.6967210783857571 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3187155239402567 the lambda is 0.47841928288936286 the regulation term lambda/alpha is 1.5010855981368596 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29384077477719733 the lambda is 0.4887118457598053 the regulation term lambda/alpha is 1.663185941877425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.259171829172495 the lambda is 0.4996014877484686 the regulation term lambda/alpha is 1.9276843835367334 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31311439653063067 the lambda is 0.5334782217183363 the regulation term lambda/alpha is 1.7037805595315332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34784938471957394 the lambda is 0.49622599979419896 the regulation term lambda/alpha is 1.4265541972835223 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32911971838694865 the lambda is 0.554035594185939 the regulation term lambda/alpha is 1.6833862063972567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3026630277494894 the lambda is 0.5336787693712695 the regulation term lambda/alpha is 1.7632770455629918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3728811264157798 the lambda is 0.5296003162840474 the regulation term lambda/alpha is 1.42029263152761 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3054235861840668 the lambda is 0.5122874518129591 the regulation term lambda/alpha is 1.6773015411593772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32292489590754386 the lambda is 0.5244254299571088 the regulation term lambda/alpha is 1.623985752115118 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31360356567983 the lambda is 0.5205341148489909 the regulation term lambda/alpha is 1.6598475649362492 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3222079081505385 the lambda is 0.4653646380959008 the regulation term lambda/alpha is 1.444299243823892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29899089544062973 the lambda is 0.4814178021484498 the regulation term lambda/alpha is 1.6101420126488246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32954870018692045 the lambda is 0.4981848091055818 the regulation term lambda/alpha is 1.5117183251610786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26783123961661504 the lambda is 0.4815994949364538 the regulation term lambda/alpha is 1.798145338183237 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3012729376426722 the lambda is 0.475268027104789 the regulation term lambda/alpha is 1.5775330861893921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133105741207247 the lambda is 0.4878740341209247 the regulation term lambda/alpha is 1.5571578951335912 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3392274766414637 the lambda is 0.5327224308858016 the regulation term lambda/alpha is 1.5703988254726389 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3392953603321819 the lambda is 0.5512131713328307 the regulation term lambda/alpha is 1.624582106849837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29860851145135076 the lambda is 0.5046850420307647 the regulation term lambda/alpha is 1.6901227616647756 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31164583850685385 the lambda is 0.5147487549679151 the regulation term lambda/alpha is 1.6517106643687607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30893212110592455 the lambda is 0.5175583894639469 the regulation term lambda/alpha is 1.67531426518931 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29562213743676563 the lambda is 0.5227509704919652 the regulation term lambda/alpha is 1.7683079319585226 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29666771777617096 the lambda is 0.5526695508237736 the regulation term lambda/alpha is 1.8629244697286214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3021121931366767 the lambda is 0.5304091335180859 the regulation term lambda/alpha is 1.7556694021883679 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3282390701386324 the lambda is 0.5015688544719384 the regulation term lambda/alpha is 1.5280595763938152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3301189128729331 the lambda is 0.4917082726243743 the regulation term lambda/alpha is 1.4894883432917367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3349795979582165 the lambda is 0.48034645417163124 the regulation term lambda/alpha is 1.4339573427738932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3235967696549265 the lambda is 0.4973959376038501 the regulation term lambda/alpha is 1.5370856085314375 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30124919369119296 the lambda is 0.5638983278822125 the regulation term lambda/alpha is 1.871866679451624 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33114259723995443 the lambda is 0.5211986787183309 the regulation term lambda/alpha is 1.5739402996246266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36782827487874387 the lambda is 0.48471105291437594 the regulation term lambda/alpha is 1.3177645276839116 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2852158502217372 the lambda is 0.5016532647551791 the regulation term lambda/alpha is 1.7588547914331396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29459905710805395 the lambda is 0.5468690744303292 the regulation term lambda/alpha is 1.8563164451329077 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35317712104170434 the lambda is 0.5742611086900338 the regulation term lambda/alpha is 1.6259861539055445 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.33075446945085146 the lambda is 0.5118580834074749 the regulation term lambda/alpha is 1.5475469893341367 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3279825839568134 the lambda is 0.5061093114375136 the regulation term lambda/alpha is 1.5430981283571896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30477113520740207 the lambda is 0.5290606200093299 the regulation term lambda/alpha is 1.735927582673782 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2702337062926458 the lambda is 0.49067346938968864 the regulation term lambda/alpha is 1.8157374819050909 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33802173780152583 the lambda is 0.5377960131665209 the regulation term lambda/alpha is 1.5910101423189988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37390602735470957 the lambda is 0.5374497747930808 the regulation term lambda/alpha is 1.4373926480816632 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33307169369129186 the lambda is 0.5238363800419554 the regulation term lambda/alpha is 1.5727436163562858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3565789102924566 the lambda is 0.5398300949605194 the regulation term lambda/alpha is 1.5139148148659858 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3241920880548513 the lambda is 0.49403868017295194 the regulation term lambda/alpha is 1.5239072709552481 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2953707038589394 the lambda is 0.5009806776158429 the regulation term lambda/alpha is 1.696108216118471 950 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32074908837422567 the lambda is 0.4983778429054148 the regulation term lambda/alpha is 1.5537934821000814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31493718449118857 the lambda is 0.5348292729792623 the regulation term lambda/alpha is 1.698209355123723 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3178699595229863 the lambda is 0.4919361494490387 the regulation term lambda/alpha is 1.5476018878514535 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105238551274413 the lambda is 0.5071958617119315 the regulation term lambda/alpha is 1.633355548493286 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34831574535435905 the lambda is 0.5209107979839791 the regulation term lambda/alpha is 1.495513208723971 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3123070222717826 the lambda is 0.539745754001125 the regulation term lambda/alpha is 1.7282536590913276 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151925786801576 the lambda is 0.5407331067956429 the regulation term lambda/alpha is 1.71556420858612 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3001912182324343 the lambda is 0.550572455874232 the regulation term lambda/alpha is 1.8340724925801482 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.26767697019880105 the lambda is 0.5203686080431501 the regulation term lambda/alpha is 1.9440171026169246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30442408717750447 the lambda is 0.4870202608209652 the regulation term lambda/alpha is 1.5998085609335901 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3476446258866518 the lambda is 0.5115576737391957 the regulation term lambda/alpha is 1.4714959923067734 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3148831039183232 the lambda is 0.5832149038778051 the regulation term lambda/alpha is 1.8521632206378524 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33349579026980525 the lambda is 0.563309156982667 the regulation term lambda/alpha is 1.6891042508420806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27547560370119933 the lambda is 0.511192661005239 the regulation term lambda/alpha is 1.8556730764431515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33131695336950745 the lambda is 0.4956304341526604 the regulation term lambda/alpha is 1.4959404555428808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3181453336006537 the lambda is 0.5338166401573695 the regulation term lambda/alpha is 1.6779018384957152 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33494310600753885 the lambda is 0.530885069775486 the regulation term lambda/alpha is 1.5850007367028385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3002928632638432 the lambda is 0.5243214653443911 the regulation term lambda/alpha is 1.7460337207005547 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2637384719981754 the lambda is 0.4991056763755996 the regulation term lambda/alpha is 1.8924265109833978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3174105713887942 the lambda is 0.5037513325481848 the regulation term lambda/alpha is 1.5870653908723884 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30912009734295376 the lambda is 0.49879638800439924 the regulation term lambda/alpha is 1.6136006435421404 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.289920695371479 the lambda is 0.5322626716441192 the regulation term lambda/alpha is 1.8358905733242823 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32606307634166354 the lambda is 0.4854951404778604 the regulation term lambda/alpha is 1.4889608045319942 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30219416498620133 the lambda is 0.5170997535738294 the regulation term lambda/alpha is 1.7111506888210135 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32831524313290994 the lambda is 0.5356563523281274 the regulation term lambda/alpha is 1.631530559521663 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30450344954318986 the lambda is 0.5277723012029212 the regulation term lambda/alpha is 1.7332227335837243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28125459913986545 the lambda is 0.457111955458336 the regulation term lambda/alpha is 1.6252603756748463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3562553084310916 the lambda is 0.6000613926654429 the regulation term lambda/alpha is 1.6843577582269467 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3415163307505917 the lambda is 0.5511207065618262 the regulation term lambda/alpha is 1.6137462748869482 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27058480632477483 the lambda is 0.4850419428288598 the regulation term lambda/alpha is 1.7925690263875294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090143908077905 the lambda is 0.46701433012885624 the regulation term lambda/alpha is 1.511302851974111 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33758919110045676 the lambda is 0.5376962423733522 the regulation term lambda/alpha is 1.5927531347215125 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.334042429500441 the lambda is 0.5020717364864233 the regulation term lambda/alpha is 1.5030178568550991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34446237445399225 the lambda is 0.5430774615420155 the regulation term lambda/alpha is 1.5765944318384506 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30540855628183317 the lambda is 0.5208014662830345 the regulation term lambda/alpha is 1.7052615441541041 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202180792335603 the lambda is 0.4870429923387714 the regulation term lambda/alpha is 1.520972811730385 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29187143800804805 the lambda is 0.5246713099963383 the regulation term lambda/alpha is 1.797611008384695 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32771003925797487 the lambda is 0.5558208938315861 the regulation term lambda/alpha is 1.6960752715727492 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.312248880322489 the lambda is 0.5573216797886212 the regulation term lambda/alpha is 1.7848636613621236 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29631673321429064 the lambda is 0.5226116506754208 the regulation term lambda/alpha is 1.7636926710361578 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2845175099000926 the lambda is 0.4965498445515402 the regulation term lambda/alpha is 1.745234747506057 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29563074568647163 the lambda is 0.5140433396400029 the regulation term lambda/alpha is 1.7388020263128068 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3182439068480121 the lambda is 0.5349276970609428 the regulation term lambda/alpha is 1.6808733350436624 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3264270507904464 the lambda is 0.5511950596666574 the regulation term lambda/alpha is 1.688570412078083 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3323092976554688 the lambda is 0.46880392687257894 the regulation term lambda/alpha is 1.410745742535994 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3027546632680075 the lambda is 0.5295979150240244 the regulation term lambda/alpha is 1.749264269978258 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3726140921461547 the lambda is 0.5539209410926571 the regulation term lambda/alpha is 1.4865807621558937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2905251366863685 the lambda is 0.47950714413220374 the regulation term lambda/alpha is 1.6504841873625813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.330552800153304 the lambda is 0.481163330697454 the regulation term lambda/alpha is 1.4556322937645656 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3375391037438135 the lambda is 0.5245257150934011 the regulation term lambda/alpha is 1.553970219377922 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31121520596145186 the lambda is 0.5534951476520454 the regulation term lambda/alpha is 1.7784964778379215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33005135322569035 the lambda is 0.5923391760391788 the regulation term lambda/alpha is 1.7946879182589963 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3879226670924654 the lambda is 0.5488426998096171 the regulation term lambda/alpha is 1.4148250318118036 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3286029052743402 the lambda is 0.47801516673916833 the regulation term lambda/alpha is 1.4546894110387993 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32443294709872683 the lambda is 0.5588117998889973 the regulation term lambda/alpha is 1.7224261743026599 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3089942099568801 the lambda is 0.49283883581162463 the regulation term lambda/alpha is 1.594977575406348 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30682426957570547 the lambda is 0.5350495295226545 the regulation term lambda/alpha is 1.7438305329058625 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3456516377726265 the lambda is 0.500282130330742 the regulation term lambda/alpha is 1.447359351613526 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29500627028241644 the lambda is 0.4971375891104993 the regulation term lambda/alpha is 1.6851763477250088 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3382985717709061 the lambda is 0.5286481243689554 the regulation term lambda/alpha is 1.5626673254977645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.314740192220923 the lambda is 0.473324072622571 the regulation term lambda/alpha is 1.5038564642241006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33664342425331156 the lambda is 0.5008837151277125 the regulation term lambda/alpha is 1.4878761295833784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.331674601495887 the lambda is 0.5235601239574704 the regulation term lambda/alpha is 1.5785354730092678 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3487466230560324 the lambda is 0.5566654446642414 the regulation term lambda/alpha is 1.5961887739191187 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37285966744289806 the lambda is 0.528439781432961 the regulation term lambda/alpha is 1.4172618482901196 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2864440430535553 the lambda is 0.5289565845502435 the regulation term lambda/alpha is 1.8466314708850364 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29877241587841136 the lambda is 0.5273464313458749 the regulation term lambda/alpha is 1.7650439040546642 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28533215370382714 the lambda is 0.5332746929799768 the regulation term lambda/alpha is 1.8689610899355995 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31239849475139736 the lambda is 0.5496283951222156 the regulation term lambda/alpha is 1.7593823413253087 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3026186500605725 the lambda is 0.522759020613793 the regulation term lambda/alpha is 1.7274514327162485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3258235120111595 the lambda is 0.5122275996054494 the regulation term lambda/alpha is 1.5721014006745637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2980494718825454 the lambda is 0.498827358338161 the regulation term lambda/alpha is 1.6736394639032868 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30271799448130915 the lambda is 0.48315810981277085 the regulation term lambda/alpha is 1.5960666977879396 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30206861016269737 the lambda is 0.49889728179387965 the regulation term lambda/alpha is 1.6516025333621003 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31651884730909285 the lambda is 0.5285582400572095 the regulation term lambda/alpha is 1.6699107953626915 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31524377934259407 the lambda is 0.5073764386145866 the regulation term lambda/alpha is 1.6094732770704117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193356164834442 the lambda is 0.47108301827897836 the regulation term lambda/alpha is 1.4751972343911768 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3664524513010398 the lambda is 0.5283614406966448 the regulation term lambda/alpha is 1.441828097535626 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28424928999034343 the lambda is 0.46189787161524615 the regulation term lambda/alpha is 1.6249745835106142 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3377267524593898 the lambda is 0.5615274741041009 the regulation term lambda/alpha is 1.662668029745799 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33418039226737406 the lambda is 0.4866098228057192 the regulation term lambda/alpha is 1.4561291867070048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3008361049029199 the lambda is 0.5355210806621611 the regulation term lambda/alpha is 1.7801090757872107 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3143946113865204 the lambda is 0.5680034409761778 the regulation term lambda/alpha is 1.806657685611118 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3254866462156539 the lambda is 0.5353329246176153 the regulation term lambda/alpha is 1.6447154770918806 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.301521931085644 the lambda is 0.5269850671401078 the regulation term lambda/alpha is 1.7477503717314131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28618402832995016 the lambda is 0.48469751043395465 the regulation term lambda/alpha is 1.6936567468927104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31396687705318826 the lambda is 0.523740335521954 the regulation term lambda/alpha is 1.6681388190934185 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30030726514551587 the lambda is 0.5058631513286796 the regulation term lambda/alpha is 1.6844852257688814 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31399457850140855 the lambda is 0.489032176568366 the regulation term lambda/alpha is 1.557454204790266 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2982015823975818 the lambda is 0.4916234801695523 the regulation term lambda/alpha is 1.6486280059845149 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3013601199803568 the lambda is 0.44112973669811323 the regulation term lambda/alpha is 1.4637959950602186 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32251993364564774 the lambda is 0.5244367209814379 the regulation term lambda/alpha is 1.6260598687758503 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3638027432928894 the lambda is 0.5119309927382122 the regulation term lambda/alpha is 1.407166389413584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3256470172067555 the lambda is 0.5526096337972675 the regulation term lambda/alpha is 1.6969589911717566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2936677738347279 the lambda is 0.5084596508341794 the regulation term lambda/alpha is 1.7314111255541895 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3216595499765926 the lambda is 0.5025869320161146 the regulation term lambda/alpha is 1.5624809897691154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30142236982519377 the lambda is 0.5075350432393265 the regulation term lambda/alpha is 1.6838001888634386 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3753036093149486 the lambda is 0.5383545452275406 the regulation term lambda/alpha is 1.4344507536450637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3432420301026709 the lambda is 0.5160376505506791 the regulation term lambda/alpha is 1.5034220908095706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3464501717399134 the lambda is 0.5509913316436176 the regulation term lambda/alpha is 1.5903912787125332 960 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3595141592581721 the lambda is 0.5112320586405485 the regulation term lambda/alpha is 1.4220081336864 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31538830833606685 the lambda is 0.46967641081751077 the regulation term lambda/alpha is 1.4892004503763654 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.3032061704455637 the lambda is 0.5200907601386755 the regulation term lambda/alpha is 1.7153040103847434 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3437279059909175 the lambda is 0.5230072425980136 the regulation term lambda/alpha is 1.5215734116502988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34468788352493485 the lambda is 0.5494319892289155 the regulation term lambda/alpha is 1.5939985577972002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35058361222364953 the lambda is 0.5341714508969991 the regulation term lambda/alpha is 1.5236634921664065 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240022052848182 the lambda is 0.5041249243189806 the regulation term lambda/alpha is 1.5559305341018381 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29554831756264327 the lambda is 0.5203286480541822 the regulation term lambda/alpha is 1.7605535783295243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3157497847562293 the lambda is 0.4520405212606646 the regulation term lambda/alpha is 1.4316415816709325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3193607433505322 the lambda is 0.5116190188905442 the regulation term lambda/alpha is 1.602009732075893 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28183995726633415 the lambda is 0.4688366060696629 the regulation term lambda/alpha is 1.6634852297632872 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29430805562753953 the lambda is 0.5202790241720395 the regulation term lambda/alpha is 1.7678042249393158 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3123124567942203 the lambda is 0.44738187844950866 the regulation term lambda/alpha is 1.4324816981100574 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33504428759271754 the lambda is 0.5387123775003735 the regulation term lambda/alpha is 1.6078840841340847 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34108873789776645 the lambda is 0.4822210112954315 the regulation term lambda/alpha is 1.41376995988641 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37055724734016093 the lambda is 0.5503026758150303 the regulation term lambda/alpha is 1.4850679072264055 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29235671338157676 the lambda is 0.5039670566598432 the regulation term lambda/alpha is 1.7238087363572112 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32479818422048046 the lambda is 0.5405590470375375 the regulation term lambda/alpha is 1.664292084436635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32574046025917913 the lambda is 0.5656994188336466 the regulation term lambda/alpha is 1.7366569028101126 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3481340029377165 the lambda is 0.4999210434230853 the regulation term lambda/alpha is 1.4360017671486243 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31812807003502536 the lambda is 0.49798511526629036 the regulation term lambda/alpha is 1.5653605015472638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3156288736519454 the lambda is 0.4926437829799618 the regulation term lambda/alpha is 1.5608324336106736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30999474684693257 the lambda is 0.5118369836185831 the regulation term lambda/alpha is 1.651115023156554 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224491010911434 the lambda is 0.4911048059003156 the regulation term lambda/alpha is 1.5230459760577841 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30314863345044607 the lambda is 0.5145998242267976 the regulation term lambda/alpha is 1.6975165560524166 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3191291065054719 the lambda is 0.5127544252641036 the regulation term lambda/alpha is 1.6067303633907546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3056143018410402 the lambda is 0.4855803404190307 the regulation term lambda/alpha is 1.5888665468005374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34124414662733676 the lambda is 0.5244930211131884 the regulation term lambda/alpha is 1.537002249846567 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2941161479227488 the lambda is 0.5011072773482516 the regulation term lambda/alpha is 1.7037734272239622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3306610592429045 the lambda is 0.588711047743723 the regulation term lambda/alpha is 1.780406344465419 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31044795617390203 the lambda is 0.5243117251902123 the regulation term lambda/alpha is 1.6888876694569421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3516835156241858 the lambda is 0.5074994156483047 the regulation term lambda/alpha is 1.4430571610601903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3365815651513694 the lambda is 0.5219088014853402 the regulation term lambda/alpha is 1.5506161225752944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35875819452831975 the lambda is 0.49211635326966313 the regulation term lambda/alpha is 1.3717215683858515 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.320654201103258 the lambda is 0.5158789701364637 the regulation term lambda/alpha is 1.608832718740332 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3273236425508727 the lambda is 0.5010812102846448 the regulation term lambda/alpha is 1.5308433157460255 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29691142037402396 the lambda is 0.4821688948927689 the regulation term lambda/alpha is 1.6239486318356269 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30455691442056143 the lambda is 0.5388567077786521 the regulation term lambda/alpha is 1.7693136562138498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31401134807966463 the lambda is 0.5036270535550031 the regulation term lambda/alpha is 1.60384985012463 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3475747184895957 the lambda is 0.5190976290320529 the regulation term lambda/alpha is 1.4934850016935037 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32152052735957143 the lambda is 0.5191742603937484 the regulation term lambda/alpha is 1.614746855068235 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3266337333680748 the lambda is 0.49356146645912763 the regulation term lambda/alpha is 1.511054787176395 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3254368532344772 the lambda is 0.5358139036035083 the regulation term lambda/alpha is 1.6464450730706104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3406032942992363 the lambda is 0.5096044243851323 the regulation term lambda/alpha is 1.4961817249407472 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3710762873744915 the lambda is 0.5622001545306268 the regulation term lambda/alpha is 1.515052763162019 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2912474222251558 the lambda is 0.520547083116797 the regulation term lambda/alpha is 1.7873019412146953 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32202318488408427 the lambda is 0.5180964908329088 the regulation term lambda/alpha is 1.6088794694065374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38783159595605415 the lambda is 0.5443433948204431 the regulation term lambda/alpha is 1.4035560807740988 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34569822517372 the lambda is 0.5517904106730431 the regulation term lambda/alpha is 1.5961621162381086 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3340699357863412 the lambda is 0.5208259839582905 the regulation term lambda/alpha is 1.559032789743138 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34495968267282373 the lambda is 0.48243266859635897 the regulation term lambda/alpha is 1.3985189946209489 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32988120034378193 the lambda is 0.5148548908844047 the regulation term lambda/alpha is 1.5607281965381918 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3549380273678849 the lambda is 0.5348509838571253 the regulation term lambda/alpha is 1.5068855479459935 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33172851501976525 the lambda is 0.5034575716427105 the regulation term lambda/alpha is 1.517679514565437 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2964368571219446 the lambda is 0.46263009972144525 the regulation term lambda/alpha is 1.560636231988973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32984348313618833 the lambda is 0.48337851349810135 the regulation term lambda/alpha is 1.4654784411748414 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2918434555251289 the lambda is 0.5127361921799203 the regulation term lambda/alpha is 1.7568877508571425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29908054257825395 the lambda is 0.5106773166576104 the regulation term lambda/alpha is 1.7074909395819104 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32553817663493 the lambda is 0.4672063001530075 the regulation term lambda/alpha is 1.4351812895878848 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3453223230526951 the lambda is 0.5554341333226207 the regulation term lambda/alpha is 1.6084512823049184 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3035529030980033 the lambda is 0.5326944251764593 the regulation term lambda/alpha is 1.7548651972683544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33532831558246484 the lambda is 0.5260956295778393 the regulation term lambda/alpha is 1.568897123000221 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32400219714367323 the lambda is 0.5066621620215276 the regulation term lambda/alpha is 1.5637615006569134 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.2725977390576992 the lambda is 0.5467150368985986 the regulation term lambda/alpha is 2.005574363120006 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33023123616511113 the lambda is 0.5214629239482887 the regulation term lambda/alpha is 1.5790841896239167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31424257338759604 the lambda is 0.484460515481301 the regulation term lambda/alpha is 1.5416768971139794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34494923101177943 the lambda is 0.5353768656454462 the regulation term lambda/alpha is 1.5520453954198377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36348867624593323 the lambda is 0.5213522283297113 the regulation term lambda/alpha is 1.4343011554422371 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3042702553648489 the lambda is 0.532038689253993 the regulation term lambda/alpha is 1.7485727897261207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2973087203315634 the lambda is 0.5158322438764231 the regulation term lambda/alpha is 1.7350054290407586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30910648001694097 the lambda is 0.49423553450739993 the regulation term lambda/alpha is 1.5989167696526865 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3194385517248252 the lambda is 0.48824106969491365 the regulation term lambda/alpha is 1.528435021567154 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34138174567380813 the lambda is 0.47932479303673226 the regulation term lambda/alpha is 1.404072710714677 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29604266320038286 the lambda is 0.5165342500499467 the regulation term lambda/alpha is 1.744796660271629 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27477876355815956 the lambda is 0.5034080479346889 the regulation term lambda/alpha is 1.8320485958083792 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3304607043970556 the lambda is 0.5527595408885956 the regulation term lambda/alpha is 1.6726937077046327 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3126491187792188 the lambda is 0.5308173400374421 the regulation term lambda/alpha is 1.6978053292140751 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3151101991361291 the lambda is 0.4675760898721441 the regulation term lambda/alpha is 1.4838494315766309 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27607550292572786 the lambda is 0.4763107386028087 the regulation term lambda/alpha is 1.7252915726135607 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30908517596661433 the lambda is 0.4914648670178313 the regulation term lambda/alpha is 1.5900628863252784 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31909351419821563 the lambda is 0.5030954203763982 the regulation term lambda/alpha is 1.5766394426427721 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35431143103576046 the lambda is 0.5337673107480075 the regulation term lambda/alpha is 1.5064919277022555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3572948665753773 the lambda is 0.5331076995436854 the regulation term lambda/alpha is 1.4920664958146481 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3431774919152962 the lambda is 0.49161004287882654 the regulation term lambda/alpha is 1.4325241440955772 using Bay_non_info_prior option for model regressor Convergence after 2 iterations the alpha is 0.33193777615869785 the lambda is 0.5470291087914284 the regulation term lambda/alpha is 1.6479869062263537 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3423780632897142 the lambda is 0.5482978373582066 the regulation term lambda/alpha is 1.6014397420498483 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27321229792459173 the lambda is 0.4764931077121488 the regulation term lambda/alpha is 1.744039749790706 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29567000704089774 the lambda is 0.5108753475156244 the regulation term lambda/alpha is 1.7278565135115613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3056073210175399 the lambda is 0.5366889743742236 the regulation term lambda/alpha is 1.7561391284321395 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2939070668961563 the lambda is 0.5144502612244806 the regulation term lambda/alpha is 1.7503841151470063 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3159318655276673 the lambda is 0.5157966127791631 the regulation term lambda/alpha is 1.6326197799569317 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29681835706976833 the lambda is 0.5027833690953621 the regulation term lambda/alpha is 1.693909278586772 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36235526655288985 the lambda is 0.47870743185498466 the regulation term lambda/alpha is 1.321099694255753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3382243805516083 the lambda is 0.5203650105325314 the regulation term lambda/alpha is 1.5385201081124633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34764464054432415 the lambda is 0.5199556710849808 the regulation term lambda/alpha is 1.4956527742549428 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34460354039941293 the lambda is 0.5386647070115793 the regulation term lambda/alpha is 1.5631432758561903 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33501650963821306 the lambda is 0.5112605879912995 the regulation term lambda/alpha is 1.5260758000953856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3397458938421208 the lambda is 0.5130894288800362 the regulation term lambda/alpha is 1.5102152466880667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3128175711599836 the lambda is 0.5069807123635839 the regulation term lambda/alpha is 1.6206912881639244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3021351071805441 the lambda is 0.5252866766576435 the regulation term lambda/alpha is 1.7385820587335876 970 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3269017323174724 the lambda is 0.47390188179356446 the regulation term lambda/alpha is 1.4496768751697287 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2960078618319787 the lambda is 0.4910545922982449 the regulation term lambda/alpha is 1.6589241557948198 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28299879347191303 the lambda is 0.5183407104045438 the regulation term lambda/alpha is 1.831600425024384 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33464235178000207 the lambda is 0.5426637777447759 the regulation term lambda/alpha is 1.6216231294642875 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30311044769202056 the lambda is 0.548882529771787 the regulation term lambda/alpha is 1.8108334237607224 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27393353809595145 the lambda is 0.4807850822538037 the regulation term lambda/alpha is 1.7551158050804199 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34334464520162117 the lambda is 0.565545018381211 the regulation term lambda/alpha is 1.6471642307079168 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3080655257592687 the lambda is 0.5290649843681321 the regulation term lambda/alpha is 1.7173780904701383 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.300259404743316 the lambda is 0.4989178112973258 the regulation term lambda/alpha is 1.6616225950485637 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.317384897284596 the lambda is 0.5040483037184027 the regulation term lambda/alpha is 1.5881294542708735 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33655494861615864 the lambda is 0.5065429227336552 the regulation term lambda/alpha is 1.5050823790184944 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3314533618657148 the lambda is 0.5114024546187803 the regulation term lambda/alpha is 1.5429092399007562 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.321718636450506 the lambda is 0.50987705894133 the regulation term lambda/alpha is 1.5848539722993966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3041837351449526 the lambda is 0.520687278441842 the regulation term lambda/alpha is 1.7117525307318586 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3355417567188805 the lambda is 0.5144353272240337 the regulation term lambda/alpha is 1.5331484589413762 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3295992406335172 the lambda is 0.5208462516962006 the regulation term lambda/alpha is 1.580241054849188 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32689532960947587 the lambda is 0.4894631676511594 the regulation term lambda/alpha is 1.4973085367597465 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32886741741302744 the lambda is 0.5497520996019826 the regulation term lambda/alpha is 1.6716526797531424 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3213038097862848 the lambda is 0.5565822534661744 the regulation term lambda/alpha is 1.7322616057256994 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.297967676571209 the lambda is 0.4621329786262002 the regulation term lambda/alpha is 1.5509500357357004 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3488591850342533 the lambda is 0.5092710276380475 the regulation term lambda/alpha is 1.4598183149113415 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2975618440840047 the lambda is 0.4957502962183166 the regulation term lambda/alpha is 1.6660412148755246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28952422861654625 the lambda is 0.4766290796927268 the regulation term lambda/alpha is 1.646249372531745 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33628948527887487 the lambda is 0.5501497961501165 the regulation term lambda/alpha is 1.63594111690377 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.289260329020628 the lambda is 0.5119594809292966 the regulation term lambda/alpha is 1.7698917880052167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2983825163751079 the lambda is 0.4871619572832136 the regulation term lambda/alpha is 1.632675946303717 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3780236784291789 the lambda is 0.4763170598465451 the regulation term lambda/alpha is 1.2600191126275733 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3466887728557308 the lambda is 0.5465607260226728 the regulation term lambda/alpha is 1.5765169478104664 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32583065717284637 the lambda is 0.5073409759601388 the regulation term lambda/alpha is 1.557069492362117 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.343014438414719 the lambda is 0.5179486347342926 the regulation term lambda/alpha is 1.509990766359726 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31454291530754364 the lambda is 0.4918189770706433 the regulation term lambda/alpha is 1.5635989657874456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31244634998004767 the lambda is 0.5192546420810836 the regulation term lambda/alpha is 1.6619001697867246 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3413992420039544 the lambda is 0.5378414765224405 the regulation term lambda/alpha is 1.5754032532861064 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29938211442889806 the lambda is 0.5069773541768573 the regulation term lambda/alpha is 1.6934122973376962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3004756346417073 the lambda is 0.476814961073238 the regulation term lambda/alpha is 1.5868673067012604 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33786967066098134 the lambda is 0.5853921913212289 the regulation term lambda/alpha is 1.7325976320277998 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3491651460148887 the lambda is 0.5908559094225795 the regulation term lambda/alpha is 1.6921961317335634 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28808813650340426 the lambda is 0.5060787864317537 the regulation term lambda/alpha is 1.7566804123701691 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33246073592232533 the lambda is 0.48635534977928935 the regulation term lambda/alpha is 1.4628956060932239 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.335913912718112 the lambda is 0.5705596821918956 the regulation term lambda/alpha is 1.6985294761241123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3345744649594016 the lambda is 0.5608080285302719 the regulation term lambda/alpha is 1.676182994414479 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33556350711297694 the lambda is 0.5112098119583602 the regulation term lambda/alpha is 1.5234368491274797 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35484437849981726 the lambda is 0.5109930778622737 the regulation term lambda/alpha is 1.4400483953630867 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2937648725967168 the lambda is 0.5434388110676203 the regulation term lambda/alpha is 1.8499108020095316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31521211393449766 the lambda is 0.5139236660222151 the regulation term lambda/alpha is 1.6304058229469267 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3245709228586672 the lambda is 0.5081690479596525 the regulation term lambda/alpha is 1.5656641189048601 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31972221976006016 the lambda is 0.5034478672011776 the regulation term lambda/alpha is 1.5746414733983671 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31351567708071 the lambda is 0.4997200190051411 the regulation term lambda/alpha is 1.5939235436590165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36099761126381297 the lambda is 0.5128386731116673 the regulation term lambda/alpha is 1.4206151428988005 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3296865678413447 the lambda is 0.4857477284598295 the regulation term lambda/alpha is 1.4733622047155595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3351874872383034 the lambda is 0.4828903838713099 the regulation term lambda/alpha is 1.4406575491524727 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2802252683513564 the lambda is 0.5178156803450917 the regulation term lambda/alpha is 1.8478550610069753 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30039081468999057 the lambda is 0.5014912558995304 the regulation term lambda/alpha is 1.669462684526754 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3446605764410045 the lambda is 0.5280581652196593 the regulation term lambda/alpha is 1.5321107237515659 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3576847492215389 the lambda is 0.5450505478605058 the regulation term lambda/alpha is 1.5238294309353353 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3133558712127893 the lambda is 0.5105798012166608 the regulation term lambda/alpha is 1.6293928026321978 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3024900156210718 the lambda is 0.4807080219095249 the regulation term lambda/alpha is 1.5891698802769945 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32570713904234666 the lambda is 0.4961613173705518 the regulation term lambda/alpha is 1.5233357144991644 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2787598738827659 the lambda is 0.4885703352044172 the regulation term lambda/alpha is 1.7526566087122293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2878444822496543 the lambda is 0.48203379903614585 the regulation term lambda/alpha is 1.6746327574834892 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3202939257646257 the lambda is 0.4998756816373519 the regulation term lambda/alpha is 1.5606779942642293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3196498363149364 the lambda is 0.5116705081105197 the regulation term lambda/alpha is 1.6007219462687106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2877719321449121 the lambda is 0.5188570470404723 the regulation term lambda/alpha is 1.8030147803962815 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.298710060866514 the lambda is 0.4893203230794499 the regulation term lambda/alpha is 1.6381112897905195 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.27926760938127376 the lambda is 0.5002295576709589 the regulation term lambda/alpha is 1.7912193926794207 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3067281625568627 the lambda is 0.5192731746190005 the regulation term lambda/alpha is 1.6929426052383931 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3260500217068487 the lambda is 0.5274341895363832 the regulation term lambda/alpha is 1.617648073676863 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2760361030430977 the lambda is 0.4464473870253562 the regulation term lambda/alpha is 1.6173514337566635 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30024028714561807 the lambda is 0.5133471593270224 the regulation term lambda/alpha is 1.7097877310450558 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.317539521848924 the lambda is 0.4977038702352341 the regulation term lambda/alpha is 1.567376140573856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.308928039796414 the lambda is 0.467497211384422 the regulation term lambda/alpha is 1.5132883751585204 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29481989261561664 the lambda is 0.5216640960209243 the regulation term lambda/alpha is 1.7694331661027534 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37286846696531367 the lambda is 0.5762228868780152 the regulation term lambda/alpha is 1.5453784321526407 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3022711906416045 the lambda is 0.48953203419730085 the regulation term lambda/alpha is 1.619512706977513 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3567682887269734 the lambda is 0.5423171795390137 the regulation term lambda/alpha is 1.5200823522575926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3719034746059626 the lambda is 0.5358499157585889 the regulation term lambda/alpha is 1.440830625006475 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3771342138044815 the lambda is 0.565679549446276 the regulation term lambda/alpha is 1.4999422718500488 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3294238672103553 the lambda is 0.5075388602990104 the regulation term lambda/alpha is 1.5406863643395905 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3583703569725608 the lambda is 0.5630672788508073 the regulation term lambda/alpha is 1.5711882076617165 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34641678744694676 the lambda is 0.5422756283508708 the regulation term lambda/alpha is 1.565384958238837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31351642333887475 the lambda is 0.51899270523005 the regulation term lambda/alpha is 1.65539240242314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36341982656441907 the lambda is 0.4802571853204223 the regulation term lambda/alpha is 1.3214941789514416 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3336104478046487 the lambda is 0.4983597725610998 the regulation term lambda/alpha is 1.4938374257778728 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32235299141556056 the lambda is 0.4936183876017746 the regulation term lambda/alpha is 1.5312976790881636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3135119735169039 the lambda is 0.5220716843839047 the regulation term lambda/alpha is 1.6652368282060388 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3521052702516134 the lambda is 0.5253254196746842 the regulation term lambda/alpha is 1.4919555714099029 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3023091025753579 the lambda is 0.5282159803818101 the regulation term lambda/alpha is 1.7472711733849937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3125707734767091 the lambda is 0.5162141373723764 the regulation term lambda/alpha is 1.6515112133823402 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2841482341006767 the lambda is 0.48974301860606 the regulation term lambda/alpha is 1.7235476410968613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3547331660830201 the lambda is 0.4696364570099964 the regulation term lambda/alpha is 1.3239147108677312 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32268841429405776 the lambda is 0.4881765266892581 the regulation term lambda/alpha is 1.512841816020067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28223104665660664 the lambda is 0.47371089795332627 the regulation term lambda/alpha is 1.6784507004634932 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3588854301691811 the lambda is 0.5634348194224962 the regulation term lambda/alpha is 1.5699573514502638 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30165283268489557 the lambda is 0.5260064200265697 the regulation term lambda/alpha is 1.7437476563531307 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3696774379592341 the lambda is 0.4997508354800738 the regulation term lambda/alpha is 1.3518564677327791 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3271319852720107 the lambda is 0.5095380823220091 the regulation term lambda/alpha is 1.5575917527548628 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3188445228424611 the lambda is 0.47452333546186354 the regulation term lambda/alpha is 1.4882593285013783 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3490014477964907 the lambda is 0.5277072159554789 the regulation term lambda/alpha is 1.512048787439973 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32292854443050906 the lambda is 0.4883797522321974 the regulation term lambda/alpha is 1.512346185108736 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30802476676039303 the lambda is 0.5740068057448571 the regulation term lambda/alpha is 1.8635086125764904 980 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3153582962528244 the lambda is 0.573161720721724 the regulation term lambda/alpha is 1.8174937128091826 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2920165501462337 the lambda is 0.4719783772874033 the regulation term lambda/alpha is 1.6162726977325421 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3669635318275702 the lambda is 0.5361914704322472 the regulation term lambda/alpha is 1.4611573737637622 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33055263709867583 the lambda is 0.46793766446257423 the regulation term lambda/alpha is 1.41562223968247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2971605853490988 the lambda is 0.4982283257260731 the regulation term lambda/alpha is 1.6766299108637293 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3199231383883728 the lambda is 0.4781976434558116 the regulation term lambda/alpha is 1.4947266579865208 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2826435471183437 the lambda is 0.5365771844680131 the regulation term lambda/alpha is 1.8984236149688092 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3169798808707849 the lambda is 0.5467301485903445 the regulation term lambda/alpha is 1.7248102532198757 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2904766811721189 the lambda is 0.5136203097782472 the regulation term lambda/alpha is 1.7681980794661687 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2879328381923236 the lambda is 0.5157502376258988 the regulation term lambda/alpha is 1.7912171493319056 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33687016365837696 the lambda is 0.5267759419419876 the regulation term lambda/alpha is 1.563735821009651 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3529450918154784 the lambda is 0.5151825024027932 the regulation term lambda/alpha is 1.4596675640190893 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3224750643207186 the lambda is 0.5160932632533135 the regulation term lambda/alpha is 1.6004129322074694 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3050253493052143 the lambda is 0.5329880776494835 the regulation term lambda/alpha is 1.747356666793504 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31085107874003676 the lambda is 0.47496591807922894 the regulation term lambda/alpha is 1.5279532566024667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3231124360670573 the lambda is 0.4831716641473316 the regulation term lambda/alpha is 1.495366968936647 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33739389080920096 the lambda is 0.5646301611723388 the regulation term lambda/alpha is 1.6735044010967046 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34046837326777013 the lambda is 0.5191044481951399 the regulation term lambda/alpha is 1.5246774412931354 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31838155570967575 the lambda is 0.49606436739026893 the regulation term lambda/alpha is 1.558081360223699 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33557563674785146 the lambda is 0.5091480748899798 the regulation term lambda/alpha is 1.5172379014885076 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34371862141348 the lambda is 0.4841398978383157 the regulation term lambda/alpha is 1.4085355511068294 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3172441704123741 the lambda is 0.5041202066430909 the regulation term lambda/alpha is 1.5890605838014404 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2866752181695644 the lambda is 0.48635301362479444 the regulation term lambda/alpha is 1.6965296712083546 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3088289947145816 the lambda is 0.5108334722308748 the regulation term lambda/alpha is 1.6540981610324021 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3416071547132766 the lambda is 0.5450788104158732 the regulation term lambda/alpha is 1.595630544897041 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2978253705315333 the lambda is 0.5183290894576845 the regulation term lambda/alpha is 1.7403792314019957 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33162211958508303 the lambda is 0.498242251797509 the regulation term lambda/alpha is 1.5024397420199131 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3250767314719171 the lambda is 0.5288890058788931 the regulation term lambda/alpha is 1.6269666656365498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3564802057548652 the lambda is 0.5122634812857639 the regulation term lambda/alpha is 1.4370039991449723 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29410700305090515 the lambda is 0.5104233219310937 the regulation term lambda/alpha is 1.735502101739304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33187980028679903 the lambda is 0.5114010108799778 the regulation term lambda/alpha is 1.5409223774331633 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3148525657139975 the lambda is 0.5314681246818665 the regulation term lambda/alpha is 1.6879904519013387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3211821368681396 the lambda is 0.47380225742711224 the regulation term lambda/alpha is 1.4751824682629544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2721376239780295 the lambda is 0.5081157932497605 the regulation term lambda/alpha is 1.8671280575698062 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29430301102874423 the lambda is 0.5109528693264225 the regulation term lambda/alpha is 1.736145571669052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3329498852003615 the lambda is 0.4970953916783145 the regulation term lambda/alpha is 1.4930036434137048 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3641799896484263 the lambda is 0.5634088921463879 the regulation term lambda/alpha is 1.54706164029027 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2839425702497326 the lambda is 0.5387683153291083 the regulation term lambda/alpha is 1.8974552313703856 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31785589336504644 the lambda is 0.5222718399629046 the regulation term lambda/alpha is 1.6431088768994242 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3068601250065256 the lambda is 0.49909974057650813 the regulation term lambda/alpha is 1.6264731058357433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36381136695866756 the lambda is 0.5465114536650291 the regulation term lambda/alpha is 1.5021835580170808 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3341170708812348 the lambda is 0.5747137233025208 the regulation term lambda/alpha is 1.7200968564303272 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3014516270369753 the lambda is 0.4997749828909212 the regulation term lambda/alpha is 1.6578944615535947 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29982212816411774 the lambda is 0.5355588627256199 the regulation term lambda/alpha is 1.7862552907784837 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28738139254445066 the lambda is 0.5036073055885645 the regulation term lambda/alpha is 1.7524005334154302 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3296288535553787 the lambda is 0.49577591864327625 the regulation term lambda/alpha is 1.5040428448415069 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2961610522540266 the lambda is 0.47481522817699784 the regulation term lambda/alpha is 1.6032331887102222 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32386384657568046 the lambda is 0.5126790706778285 the regulation term lambda/alpha is 1.583008032846376 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.349922853585555 the lambda is 0.5240541570366244 the regulation term lambda/alpha is 1.4976276961244397 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3167356975992695 the lambda is 0.5084088959013999 the regulation term lambda/alpha is 1.6051518655931016 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32506763079144646 the lambda is 0.5307659909273853 the regulation term lambda/alpha is 1.6327863516743342 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30113773096062324 the lambda is 0.4729841146803117 the regulation term lambda/alpha is 1.5706570982370824 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3368953457376603 the lambda is 0.5573892170394777 the regulation term lambda/alpha is 1.6544877336284591 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33448551592366077 the lambda is 0.528462705821791 the regulation term lambda/alpha is 1.5799270242314511 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2968729487465105 the lambda is 0.531237603260329 the regulation term lambda/alpha is 1.7894442909109052 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29115452585730445 the lambda is 0.45704179290517266 the regulation term lambda/alpha is 1.5697567865703381 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3529015770684059 the lambda is 0.5443462424674578 the regulation term lambda/alpha is 1.5424874181334205 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31777884836238657 the lambda is 0.5043309021214942 the regulation term lambda/alpha is 1.587049939668636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3231890353672738 the lambda is 0.5141524601745178 the regulation term lambda/alpha is 1.5908722261887136 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3506800906563458 the lambda is 0.527063856534409 the regulation term lambda/alpha is 1.5029762754650167 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3169383576581489 the lambda is 0.4766556120928944 the regulation term lambda/alpha is 1.5039379127691994 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29707060362700993 the lambda is 0.4817159588346452 the regulation term lambda/alpha is 1.6215537752751485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3088054516566106 the lambda is 0.5407283199492641 the regulation term lambda/alpha is 1.751032298971684 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32359060342912516 the lambda is 0.4899983189595051 the regulation term lambda/alpha is 1.5142538558503835 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32076326341604655 the lambda is 0.5651439908581499 the regulation term lambda/alpha is 1.76187255622577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31664130420530606 the lambda is 0.5016917342237576 the regulation term lambda/alpha is 1.5844165860890569 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3182819258393874 the lambda is 0.5253197403425917 the regulation term lambda/alpha is 1.650485615723214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28536906451916866 the lambda is 0.5168931369649115 the regulation term lambda/alpha is 1.8113145439778073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33507405786702205 the lambda is 0.5444559487667813 the regulation term lambda/alpha is 1.6248824281790708 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30006776538683044 the lambda is 0.4926883332914779 the regulation term lambda/alpha is 1.6419235590211827 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33392611159900515 the lambda is 0.5287752288450938 the regulation term lambda/alpha is 1.5835096761767256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2949150395044312 the lambda is 0.5176737329353992 the regulation term lambda/alpha is 1.755331751833636 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34482414547499873 the lambda is 0.5327150851724086 the regulation term lambda/alpha is 1.544889162093299 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3207834535991064 the lambda is 0.4636606781274422 the regulation term lambda/alpha is 1.445400855079309 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3025895597771746 the lambda is 0.5113323696539194 the regulation term lambda/alpha is 1.6898546335520033 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32318123875209226 the lambda is 0.49971977927630795 the regulation term lambda/alpha is 1.5462524409086627 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.38037957310043125 the lambda is 0.5218982374053144 the regulation term lambda/alpha is 1.372045909698516 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3545337642355583 the lambda is 0.5484952203751836 the regulation term lambda/alpha is 1.5470888127054494 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28474665576869296 the lambda is 0.5090749896469299 the regulation term lambda/alpha is 1.7878172731217767 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30684392615535744 the lambda is 0.49222499076703463 the regulation term lambda/alpha is 1.6041542582720616 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3000635120751979 the lambda is 0.5106094122365119 the regulation term lambda/alpha is 1.7016711185748896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29140012569733476 the lambda is 0.4795875796001083 the regulation term lambda/alpha is 1.6458042989941468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30448917402471815 the lambda is 0.5192670123262423 the regulation term lambda/alpha is 1.7053710168496456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3079004653239969 the lambda is 0.48380484650952243 the regulation term lambda/alpha is 1.571302745516884 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3459717293931776 the lambda is 0.46377930601294737 the regulation term lambda/alpha is 1.3405121477017794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29138153132576833 the lambda is 0.47027160955548236 the regulation term lambda/alpha is 1.6139376006975288 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3423339292328107 the lambda is 0.5726232798824268 the regulation term lambda/alpha is 1.6727038455279828 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30140358700122516 the lambda is 0.5129939808115352 the regulation term lambda/alpha is 1.7020168403286122 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33728426751085255 the lambda is 0.5302516292053635 the regulation term lambda/alpha is 1.5721208496281316 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3265541774892289 the lambda is 0.4972034251495068 the regulation term lambda/alpha is 1.5225756074301227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2855218915971262 the lambda is 0.47040695987851106 the regulation term lambda/alpha is 1.6475337748961794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.307992658203952 the lambda is 0.47895082207226325 the regulation term lambda/alpha is 1.5550722048546468 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29940828398486763 the lambda is 0.530977543882513 the regulation term lambda/alpha is 1.7734230222880174 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33222825118185345 the lambda is 0.4800044390121855 the regulation term lambda/alpha is 1.4448031957084921 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33123398093182027 the lambda is 0.5210495052853227 the regulation term lambda/alpha is 1.5730557107079337 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3085288616399067 the lambda is 0.5108148734187378 the regulation term lambda/alpha is 1.6556469650963321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32637686377041725 the lambda is 0.5475310956804701 the regulation term lambda/alpha is 1.6776038882021338 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32248773480780946 the lambda is 0.5512256765461083 the regulation term lambda/alpha is 1.709291911131498 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3395802341524083 the lambda is 0.540471527183515 the regulation term lambda/alpha is 1.5915871208833194 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3094707841017492 the lambda is 0.5436228658380867 the regulation term lambda/alpha is 1.7566209599267113 990 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.279938294542859 the lambda is 0.5439888238383717 the regulation term lambda/alpha is 1.9432454738881253 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29101845542944416 the lambda is 0.5054912407648394 the regulation term lambda/alpha is 1.7369731415105838 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33322214931918026 the lambda is 0.514645894645838 the regulation term lambda/alpha is 1.5444528393365566 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3073728718677751 the lambda is 0.5172211998187917 the regulation term lambda/alpha is 1.6827158385053855 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33524413431115535 the lambda is 0.5033701529997449 the regulation term lambda/alpha is 1.5015032374363457 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33308757674918993 the lambda is 0.49717948999164435 the regulation term lambda/alpha is 1.4926389475222406 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31320160153216015 the lambda is 0.5125113758027217 the regulation term lambda/alpha is 1.6363625642255728 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3223111122472375 the lambda is 0.5443963699109514 the regulation term lambda/alpha is 1.6890400275537425 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3240429233721588 the lambda is 0.49699123319180954 the regulation term lambda/alpha is 1.5337203726588469 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3090667370281278 the lambda is 0.5255808911656582 the regulation term lambda/alpha is 1.7005417542484544 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.283930704552796 the lambda is 0.4905137193408629 the regulation term lambda/alpha is 1.727582510364438 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31094533610493985 the lambda is 0.49942807556532004 the regulation term lambda/alpha is 1.6061603683187897 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3321885178681982 the lambda is 0.47933259195393385 the regulation term lambda/alpha is 1.442953522385496 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30132528247773904 the lambda is 0.5074129743240107 the regulation term lambda/alpha is 1.68393760441093 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.370553365060545 the lambda is 0.5876353907943453 the regulation term lambda/alpha is 1.5858320182798264 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26901635601041984 the lambda is 0.47231492071331127 the regulation term lambda/alpha is 1.7557107966142291 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29460887076820136 the lambda is 0.5172778432040984 the regulation term lambda/alpha is 1.7558121785514507 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3181851208373888 the lambda is 0.4833047825225946 the regulation term lambda/alpha is 1.5189421216512244 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3494885832290992 the lambda is 0.55470115716717 the regulation term lambda/alpha is 1.5871796212683387 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33421723009194426 the lambda is 0.5036434810552951 the regulation term lambda/alpha is 1.506934519554067 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31091020928803337 the lambda is 0.49079371710635716 the regulation term lambda/alpha is 1.5785706047744354 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3005242064472767 the lambda is 0.4816509296402723 the regulation term lambda/alpha is 1.6027026086658085 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3039521522504585 the lambda is 0.5082704020535785 the regulation term lambda/alpha is 1.6722053069548937 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34320792238850184 the lambda is 0.5164425248266571 the regulation term lambda/alpha is 1.504751176000123 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3438566382051768 the lambda is 0.537495952892201 the regulation term lambda/alpha is 1.56313967267801 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.348607443100545 the lambda is 0.5543944159207852 the regulation term lambda/alpha is 1.5903114718089577 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2976908764197743 the lambda is 0.4782301408158311 the regulation term lambda/alpha is 1.6064655610791314 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3356404732920158 the lambda is 0.5197911112645488 the regulation term lambda/alpha is 1.5486544461290794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32136406552763724 the lambda is 0.5187769255268975 the regulation term lambda/alpha is 1.614296622353014 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28290958433459656 the lambda is 0.5113638524003684 the regulation term lambda/alpha is 1.8075168913174022 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3180828577023511 the lambda is 0.5358632792316862 the regulation term lambda/alpha is 1.6846656971785794 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3361615248018592 the lambda is 0.499530356182274 the regulation term lambda/alpha is 1.4859831340802845 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28279242421273354 the lambda is 0.5092902166150355 the regulation term lambda/alpha is 1.8009330272296002 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.29108322599508313 the lambda is 0.5241200188835353 the regulation term lambda/alpha is 1.8005847540400304 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3128028984667132 the lambda is 0.5169065818506535 the regulation term lambda/alpha is 1.6524993354742201 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3232813533294419 the lambda is 0.5042788281682129 the regulation term lambda/alpha is 1.5598760119465485 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3144668060728275 the lambda is 0.5145574239491804 the regulation term lambda/alpha is 1.636285337632786 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.37256581223458374 the lambda is 0.5531123080001709 the regulation term lambda/alpha is 1.4846029609713818 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.358908511626651 the lambda is 0.5456626058005835 the regulation term lambda/alpha is 1.5203389948249555 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34976147234042293 the lambda is 0.5215388943248312 the regulation term lambda/alpha is 1.4911273412562072 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31423132671024734 the lambda is 0.540740179764373 the regulation term lambda/alpha is 1.720834728432374 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.344537156354994 the lambda is 0.5355994708324083 the regulation term lambda/alpha is 1.554547777948667 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30273770386831533 the lambda is 0.5002205369036038 the regulation term lambda/alpha is 1.6523232174648106 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28699101412832756 the lambda is 0.4601322957385804 the regulation term lambda/alpha is 1.6032986159379645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3542478291058381 the lambda is 0.553570027137971 the regulation term lambda/alpha is 1.5626631461235623 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2854120186890948 the lambda is 0.4837275337643224 the regulation term lambda/alpha is 1.6948393973950227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33861399665592795 the lambda is 0.5336931353500843 the regulation term lambda/alpha is 1.5761106765246327 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3019746772173178 the lambda is 0.5142159672158912 the regulation term lambda/alpha is 1.7028446621894484 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31076242057389286 the lambda is 0.565462358534646 the regulation term lambda/alpha is 1.8195969689333487 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3505176983341966 the lambda is 0.5260582280145064 the regulation term lambda/alpha is 1.5008036128119926 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34052212173101465 the lambda is 0.5219775956019829 the regulation term lambda/alpha is 1.5328742607045764 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3178473334991759 the lambda is 0.4937176744521208 the regulation term lambda/alpha is 1.5533170249276322 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30114472787268093 the lambda is 0.5214778859941934 the regulation term lambda/alpha is 1.7316520520813028 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3246803052236321 the lambda is 0.5540552859564319 the regulation term lambda/alpha is 1.706464103434952 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31449389771347414 the lambda is 0.48758983386484506 the regulation term lambda/alpha is 1.550395214056183 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33200870431757856 the lambda is 0.5266659104394874 the regulation term lambda/alpha is 1.586301514359431 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3105310598759975 the lambda is 0.5731276770493129 the regulation term lambda/alpha is 1.8456372038216613 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.34857768685541884 the lambda is 0.5165301922808759 the regulation term lambda/alpha is 1.4818223075050685 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.36617370900407203 the lambda is 0.5353894551455274 the regulation term lambda/alpha is 1.4621187758173364 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3276357427216174 the lambda is 0.5268152929556013 the regulation term lambda/alpha is 1.6079298570401124 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.332890667499208 the lambda is 0.5441549918664998 the regulation term lambda/alpha is 1.6346357678164543 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2889824532264361 the lambda is 0.5911976896690215 the regulation term lambda/alpha is 2.0457909574384456 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.28687833247794153 the lambda is 0.5084314919585092 the regulation term lambda/alpha is 1.772289623851614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31540986267296955 the lambda is 0.5146191361703882 the regulation term lambda/alpha is 1.6315885997007247 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2848730850357447 the lambda is 0.46799214494297603 the regulation term lambda/alpha is 1.6428092702553991 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30307937260909656 the lambda is 0.4900842278525049 the regulation term lambda/alpha is 1.6170161091253215 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3956104519837693 the lambda is 0.566924406588816 the regulation term lambda/alpha is 1.4330369780323073 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31669314756220324 the lambda is 0.47855882450469145 the regulation term lambda/alpha is 1.511112028120834 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2894013481915095 the lambda is 0.4993026437093156 the regulation term lambda/alpha is 1.7252948088510813 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31468976178678454 the lambda is 0.5610826769491927 the regulation term lambda/alpha is 1.7829708655388339 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3213004282805615 the lambda is 0.5036498240930217 the regulation term lambda/alpha is 1.567535489411896 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3171041313297588 the lambda is 0.5016888611498727 the regulation term lambda/alpha is 1.5820950015569584 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32632083310503124 the lambda is 0.5086153400214412 the regulation term lambda/alpha is 1.5586358222422645 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3687079609645561 the lambda is 0.5342111468791899 the regulation term lambda/alpha is 1.448873372524071 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2943507003151837 the lambda is 0.4696461955127209 the regulation term lambda/alpha is 1.595532794757529 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3519988813171215 the lambda is 0.5491308349855747 the regulation term lambda/alpha is 1.5600357391217214 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32532218102121485 the lambda is 0.5047922169727882 the regulation term lambda/alpha is 1.5516686116765883 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3851549068415307 the lambda is 0.524962116979138 the regulation term lambda/alpha is 1.3629895599256379 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2928666704678015 the lambda is 0.5495426030105901 the regulation term lambda/alpha is 1.876425890774103 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.343174810601897 the lambda is 0.5403608060607564 the regulation term lambda/alpha is 1.5745934414971 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3243989937610218 the lambda is 0.5456338458349871 the regulation term lambda/alpha is 1.6819837802485433 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.33706861338411953 the lambda is 0.5437676845766343 the regulation term lambda/alpha is 1.6132255065735321 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3093798923603294 the lambda is 0.5036497534793167 the regulation term lambda/alpha is 1.6279330554964593 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31862725223294047 the lambda is 0.5230740186447135 the regulation term lambda/alpha is 1.6416487132817725 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.39121024190533304 the lambda is 0.4928491114698592 the regulation term lambda/alpha is 1.2598062593389905 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30401691799170294 the lambda is 0.499400576446689 the regulation term lambda/alpha is 1.6426736371964614 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3387053768869163 the lambda is 0.5248880000688804 the regulation term lambda/alpha is 1.5496890096436966 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.32984607955841033 the lambda is 0.542573035522431 the regulation term lambda/alpha is 1.644927950178502 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30101465169871305 the lambda is 0.5076612342251524 the regulation term lambda/alpha is 1.6865000801797279 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.331145302489894 the lambda is 0.5433539172138118 the regulation term lambda/alpha is 1.6408323268616924 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2814599947918942 the lambda is 0.5149782147370405 the regulation term lambda/alpha is 1.8296675345205096 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.30637293216475275 the lambda is 0.4966389152906581 the regulation term lambda/alpha is 1.621027392274946 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3426986414012976 the lambda is 0.506319752856894 the regulation term lambda/alpha is 1.4774489644503648 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.35788104656601843 the lambda is 0.5124845829571834 the regulation term lambda/alpha is 1.4319969941818227 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2729222746324024 the lambda is 0.46796348852931685 the regulation term lambda/alpha is 1.7146401449262962 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2934369825247584 the lambda is 0.47273037989896843 the regulation term lambda/alpha is 1.61101159039857 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.31344218570854127 the lambda is 0.4974239552617135 the regulation term lambda/alpha is 1.5869719455193256 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.26869923389552675 the lambda is 0.4807016545874123 the regulation term lambda/alpha is 1.788995255469595 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.2995332207167099 the lambda is 0.5594684507179768 the regulation term lambda/alpha is 1.8678010051082325 using Bay_non_info_prior option for model regressor Convergence after 3 iterations the alpha is 0.3390565671921661 the lambda is 0.5193204036052164 the regulation term lambda/alpha is 1.5316630139503615 1000
In [20]:
n=10 #number of samples
inconsistency_non_Bay=np.array([])
ken_w_non_Bay=np.array([])
while n<=1000:
k=100#number of explanations
m=13# number of features
i=1
instance=3
explanations=np.array([])
while i<=k:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='non_Bay',
num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
temp_list=exp.as_list()
temp_array = np.array(temp_list)
explanations=np.append(explanations,temp_array)
i=i+1
exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance..
for exp in exps:
#print(exp)
i=1
temp_vector=np.array([])
while i<=(2*m-1):
temp_vector=np.append(temp_vector,float(exp[i]))
i=i+2
#print(temp_vector)
normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
#print(normlised_temp_vector)
i=1
while i<=(2*m-1):
exp[i]=normlised_temp_vector[math.floor(i/2)]
i=i+2
feature_names=np.array([])
i=0
while i<=(2*m-1):
feature_names=np.append(feature_names,exps[0,i])
i=i+2
g_i_s=np.array([])
f_i_s=np.array([])
for feature in feature_names:
g_i=importance_in_k_exp(feature,exps)
f_i=rankings_in_k_exp(feature,exps)
g_i_s=np.append(g_i_s,g_i)
f_i_s=np.append(f_i_s,f_i)
g_i_s=g_i_s.reshape(m,k)
f_i_s=f_i_s.reshape(m,k)
IoD_f_i_s=np.array([])
for f_i in f_i_s:
if np.mean(f_i)==0:
IoD_f_i=0
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
else:
IoD_f_i=np.var(f_i)/np.mean(f_i)
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
weights_g_i_s=np.array([])
for g_i in g_i_s:
weight=np.mean(abs(g_i.astype(np.float)))
weights_g_i_s=np.append(weights_g_i_s,weight)
weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
inconsistency_non_Bay=np.append(inconsistency_non_Bay,np.dot(weights_g_i_s,IoD_f_i_s))
ken_w_non_Bay=np.append(ken_w_non_Bay,kendall_w(f_i_s.T))
print(n)
n=n+10
using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 10 using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 20 using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 30 using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model 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regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 970 using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 980 using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 990 using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor using non_Bay option for model regressor 1000
In [21]:
n=10 #number of samples
inconsistency_info_prior_fit_alpha=np.array([])
ken_w_info_prior_fit_alpha=np.array([])
while n<=1000:
k=100#number of explanations
m=13# number of features
i=1
instance=3
explanations=np.array([])
while i<=k:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='BayesianRidge_inf_prior_fit_alpha',
num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
alpha_init=1
lambda_init=1
with open('.\posterior_configure.csv') as csv_file:
csv_reader=csv.reader(csv_file)
line_count = 0
for row in csv_reader:
if line_count == 1:
alpha_init=float(row[0])
lambda_init=float(row[1])
line_count=line_count+1
exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
label=1)
temp_list=exp.as_list()
temp_array = np.array(temp_list)
explanations=np.append(explanations,temp_array)
i=i+1
exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance..
for exp in exps:
#print(exp)
i=1
temp_vector=np.array([])
while i<=(2*m-1):
temp_vector=np.append(temp_vector,float(exp[i]))
i=i+2
#print(temp_vector)
normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
#print(normlised_temp_vector)
i=1
while i<=(2*m-1):
exp[i]=normlised_temp_vector[math.floor(i/2)]
i=i+2
feature_names=np.array([])
i=0
while i<=(2*m-1):
feature_names=np.append(feature_names,exps[0,i])
i=i+2
g_i_s=np.array([])
f_i_s=np.array([])
for feature in feature_names:
g_i=importance_in_k_exp(feature,exps)
f_i=rankings_in_k_exp(feature,exps)
g_i_s=np.append(g_i_s,g_i)
f_i_s=np.append(f_i_s,f_i)
g_i_s=g_i_s.reshape(m,k)
f_i_s=f_i_s.reshape(m,k)
IoD_f_i_s=np.array([])
for f_i in f_i_s:
if np.mean(f_i)==0:
IoD_f_i=0
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
else:
IoD_f_i=np.var(f_i)/np.mean(f_i)
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
weights_g_i_s=np.array([])
for g_i in g_i_s:
weight=np.mean(abs(g_i.astype(np.float)))
weights_g_i_s=np.append(weights_g_i_s,weight)
weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
inconsistency_info_prior_fit_alpha=np.append(inconsistency_info_prior_fit_alpha,np.dot(weights_g_i_s,IoD_f_i_s))
ken_w_info_prior_fit_alpha=np.append(ken_w_info_prior_fit_alpha,kendall_w(f_i_s.T))
print(n)
n=n+10
using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 42 iterations the alpha is 4.842540006900277 the lambda is 2.0 the regulation term lambda/alpha is 0.4130063968805919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 17 iterations the alpha is 0.5318126253773965 the lambda is 2.0 the regulation term lambda/alpha is 3.7607230527494835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.06473088609530245 the lambda is 2.0 the regulation term lambda/alpha is 30.89715158626789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.09766596287672874 the lambda is 2.0 the regulation term lambda/alpha is 20.477963264687663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.10764340303732868 the lambda is 2.0 the regulation term lambda/alpha is 18.579865960819152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 17 iterations the alpha is 0.8125633385194625 the lambda is 2.0 the regulation term lambda/alpha is 2.4613465870169775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.14515407811835332 the lambda is 2.0 the regulation term lambda/alpha is 13.778462347914699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.11078486009758126 the lambda is 2.0 the regulation term lambda/alpha is 18.05300831032656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.07495144150716672 the lambda is 2.0 the regulation term lambda/alpha is 26.683943094126665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3693374683624198 the lambda is 2.0 the regulation term lambda/alpha is 5.415101827788184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.0855526216615694 the lambda is 2.0 the regulation term lambda/alpha is 23.377425041533336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 4.8285503035599815 the lambda is 2.0 the regulation term lambda/alpha is 0.41420299557104023 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 18 iterations the alpha is 0.2593406572770986 the lambda is 2.0 the regulation term lambda/alpha is 7.711864468142584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.10301690157722372 the lambda is 2.0 the regulation term lambda/alpha is 19.414289979404558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.14729661924881868 the lambda is 2.0 the regulation term lambda/alpha is 13.578044154710225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.17414091363345857 the lambda is 2.0 the regulation term lambda/alpha is 11.4849518029388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 2.351974568636034 the lambda is 2.0 the regulation term lambda/alpha is 0.8503493305881481 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.43850657827702205 the lambda is 2.0 the regulation term lambda/alpha is 4.5609349986456085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.16743298073959484 the lambda is 2.0 the regulation term lambda/alpha is 11.94507791216212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.11506264548907667 the lambda is 2.0 the regulation term lambda/alpha is 17.381835707835062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 20 iterations the alpha is 0.44669595951790037 the lambda is 2.0 the regulation term lambda/alpha is 4.477318313240428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 23 iterations the alpha is 0.5207866658343383 the lambda is 2.0 the regulation term lambda/alpha is 3.8403441009685872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23168653982106988 the lambda is 2.0 the regulation term lambda/alpha is 8.632353012585833 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.09465636040119262 the lambda is 2.0 the regulation term lambda/alpha is 21.129060863138797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.12296520157341727 the lambda is 2.0 the regulation term lambda/alpha is 16.26476413171157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.056797888303892465 the lambda is 2.0 the regulation term lambda/alpha is 35.212576729951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20229938493275587 the lambda is 2.0 the regulation term lambda/alpha is 9.886337522305361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.0743083959022636 the lambda is 2.0 the regulation term lambda/alpha is 26.91485902387883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.11284600560056672 the lambda is 2.0 the regulation term lambda/alpha is 17.723268000103282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.07784051759617067 the lambda is 2.0 the regulation term lambda/alpha is 25.693559880675682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2446977356593437 the lambda is 2.0 the regulation term lambda/alpha is 8.173349028387834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 24 iterations the alpha is 499983.21351163264 the lambda is 2.0 the regulation term lambda/alpha is 4.0001342964156695e-06 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36087068399244066 the lambda is 2.0 the regulation term lambda/alpha is 5.542151492809804 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.16457195052828086 the lambda is 2.0 the regulation term lambda/alpha is 12.152739233994254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.06104533790756828 the lambda is 2.0 the regulation term lambda/alpha is 32.76253467592066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.3848661738137587 the lambda is 2.0 the regulation term lambda/alpha is 5.196611539490149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.11518469956498759 the lambda is 2.0 the regulation term lambda/alpha is 17.36341725553222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 30 iterations the alpha is 499722.8872009795 the lambda is 2.0 the regulation term lambda/alpha is 4.0022181317375525e-06 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.6651625475144302 the lambda is 2.0 the regulation term lambda/alpha is 3.0067838417445047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.05788749113386372 the lambda is 2.0 the regulation term lambda/alpha is 34.54977855880881 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 19 iterations the alpha is 1.3270941546370538 the lambda is 2.0 the regulation term lambda/alpha is 1.5070520754022754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2939332562981777 the lambda is 2.0 the regulation term lambda/alpha is 6.80426578873103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.18882032482914968 the lambda is 2.0 the regulation term lambda/alpha is 10.592080072998817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.08394492122033158 the lambda is 2.0 the regulation term lambda/alpha is 23.825145951957808 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.32904180511016173 the lambda is 2.0 the regulation term lambda/alpha is 6.078255008753094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.13706218420419797 the lambda is 2.0 the regulation term lambda/alpha is 14.591916885115156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3151026672514458 the lambda is 2.0 the regulation term lambda/alpha is 6.34713764071073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.29492722543904376 the lambda is 2.0 the regulation term lambda/alpha is 6.7813339274551465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.594647578119418 the lambda is 2.0 the regulation term lambda/alpha is 3.3633366612288746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.046382288126621575 the lambda is 2.0 the regulation term lambda/alpha is 43.119908067926474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.11911668553879291 the lambda is 2.0 the regulation term lambda/alpha is 16.79025898809665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.07238130985050838 the lambda is 2.0 the regulation term lambda/alpha is 27.631442483296713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2127241428386509 the lambda is 2.0 the regulation term lambda/alpha is 9.401847732520796 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.6372275970799254 the lambda is 2.0 the regulation term lambda/alpha is 3.138596019954149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.10426407312492571 the lambda is 2.0 the regulation term lambda/alpha is 19.182062814711518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.8594933276024542 the lambda is 2.0 the regulation term lambda/alpha is 2.326952328506115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.12513485240508493 the lambda is 2.0 the regulation term lambda/alpha is 15.982757493696687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.05888668454471216 the lambda is 2.0 the regulation term lambda/alpha is 33.96353548282069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.09667820688546686 the lambda is 2.0 the regulation term lambda/alpha is 20.687185503650976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.13443653043677398 the lambda is 2.0 the regulation term lambda/alpha is 14.876908779943616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 20 iterations the alpha is 0.3752850799628267 the lambda is 2.0 the regulation term lambda/alpha is 5.329281942671708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.0867001243653774 the lambda is 2.0 the regulation term lambda/alpha is 23.068017660176213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.12612872302929024 the lambda is 2.0 the regulation term lambda/alpha is 15.856816369539793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3505052197379697 the lambda is 2.0 the regulation term lambda/alpha is 5.706049118170502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.8983655499478536 the lambda is 2.0 the regulation term lambda/alpha is 2.2262652437152024 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.295500026982335 the lambda is 2.0 the regulation term lambda/alpha is 6.768188891297664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.13133113132204774 the lambda is 2.0 the regulation term lambda/alpha is 15.228681728901257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.5262272296788609 the lambda is 2.0 the regulation term lambda/alpha is 3.800639509324772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.16619613705203082 the lambda is 2.0 the regulation term lambda/alpha is 12.033974047025307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.11111150714730696 the lambda is 2.0 the regulation term lambda/alpha is 17.999935842364952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.11252545324371983 the lambda is 2.0 the regulation term lambda/alpha is 17.773756446625306 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22298143527320538 the lambda is 2.0 the regulation term lambda/alpha is 8.96935656347141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 19 iterations the alpha is 1.3753206565834586 the lambda is 2.0 the regulation term lambda/alpha is 1.4542063266673797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.21339537911788742 the lambda is 2.0 the regulation term lambda/alpha is 9.372274171387408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23985508857180457 the lambda is 2.0 the regulation term lambda/alpha is 8.338368020077535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.4573323472925923 the lambda is 2.0 the regulation term lambda/alpha is 4.3731872714449365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.4180353898346047 the lambda is 2.0 the regulation term lambda/alpha is 4.784283935365611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1860795218747997 the lambda is 2.0 the regulation term lambda/alpha is 10.74809296503709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.23429441201196854 the lambda is 2.0 the regulation term lambda/alpha is 8.536268461655984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.08462273840423115 the lambda is 2.0 the regulation term lambda/alpha is 23.63430961600741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.13513982708206257 the lambda is 2.0 the regulation term lambda/alpha is 14.799486155813387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2244517301530729 the lambda is 2.0 the regulation term lambda/alpha is 8.910601841367088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.380761769109686 the lambda is 2.0 the regulation term lambda/alpha is 5.2526281844852445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.07847116485435136 the lambda is 2.0 the regulation term lambda/alpha is 25.487069087252074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.08925788152759773 the lambda is 2.0 the regulation term lambda/alpha is 22.406984859724886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 18 iterations the alpha is 0.44203427292097686 the lambda is 2.0 the regulation term lambda/alpha is 4.524536042836531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.08050694776157034 the lambda is 2.0 the regulation term lambda/alpha is 24.842576393818916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.15360805934833324 the lambda is 2.0 the regulation term lambda/alpha is 13.020150169755409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 29 iterations the alpha is 1.3279377901471612 the lambda is 2.0 the regulation term lambda/alpha is 1.5060946490410227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.23866609180426515 the lambda is 2.0 the regulation term lambda/alpha is 8.379908452350408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.13748954997567436 the lambda is 2.0 the regulation term lambda/alpha is 14.546560086594612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 1.8155634147501272 the lambda is 2.0 the regulation term lambda/alpha is 1.1015864187124835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.6779890045135866 the lambda is 2.0 the regulation term lambda/alpha is 2.949900347476684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.5202506304775699 the lambda is 2.0 the regulation term lambda/alpha is 3.8443009634876897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.28037104601669943 the lambda is 2.0 the regulation term lambda/alpha is 7.133404209937128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.09841647342320742 the lambda is 2.0 the regulation term lambda/alpha is 20.321801121644167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.07099755786425158 the lambda is 2.0 the regulation term lambda/alpha is 28.169983027078633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.16994861260403704 the lambda is 2.0 the regulation term lambda/alpha is 11.768263178822156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.21855763223759153 the lambda is 2.0 the regulation term lambda/alpha is 9.150904406878926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.08237719720201231 the lambda is 2.0 the regulation term lambda/alpha is 24.27856333950561 10 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.19086117860987442 the lambda is 2.0 the regulation term lambda/alpha is 10.478820337204644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.4173507253153329 the lambda is 2.0 the regulation term lambda/alpha is 4.792132560663176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.20831510469539952 the lambda is 2.0 the regulation term lambda/alpha is 9.600840049138158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.20821609043650585 the lambda is 2.0 the regulation term lambda/alpha is 9.605405594770241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1319149258968979 the lambda is 2.0 the regulation term lambda/alpha is 15.161286612579083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18507557290980217 the lambda is 2.0 the regulation term lambda/alpha is 10.806396373954295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.09567564987585399 the lambda is 2.0 the regulation term lambda/alpha is 20.90396043920416 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.113235585330488 the lambda is 2.0 the regulation term lambda/alpha is 17.662292239341763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.32214869092835985 the lambda is 2.0 the regulation term lambda/alpha is 6.208313292338551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16914066828045235 the lambda is 2.0 the regulation term lambda/alpha is 11.82447734381537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18794137640996836 the lambda is 2.0 the regulation term lambda/alpha is 10.641616222056786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.35590282599836204 the lambda is 2.0 the regulation term lambda/alpha is 5.619511433745133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.151419551822365 the lambda is 2.0 the regulation term lambda/alpha is 13.208333903578465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.47058003040187246 the lambda is 2.0 the regulation term lambda/alpha is 4.250074101725082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.2629736812922701 the lambda is 2.0 the regulation term lambda/alpha is 7.605323811005981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.0993897517661034 the lambda is 2.0 the regulation term lambda/alpha is 20.12279902566468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1240968319294582 the lambda is 2.0 the regulation term lambda/alpha is 16.116446881874335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.08730851329248722 the lambda is 2.0 the regulation term lambda/alpha is 22.907273581671415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.26930833796167525 the lambda is 2.0 the regulation term lambda/alpha is 7.426431781271534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17634284215791485 the lambda is 2.0 the regulation term lambda/alpha is 11.341543413534199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.30778093644012877 the lambda is 2.0 the regulation term lambda/alpha is 6.4981282568455985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26130345202221533 the lambda is 2.0 the regulation term lambda/alpha is 7.653936388984119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2565657021908048 the lambda is 2.0 the regulation term lambda/alpha is 7.795274204315213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2275448766488783 the lambda is 2.0 the regulation term lambda/alpha is 8.789474979417689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 19 iterations the alpha is 0.5209842689144779 the lambda is 2.0 the regulation term lambda/alpha is 3.8388875045444215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.21792346854339417 the lambda is 2.0 the regulation term lambda/alpha is 9.177533807478603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.06651437139675731 the lambda is 2.0 the regulation term lambda/alpha is 30.06868978840719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.47364664957041613 the lambda is 2.0 the regulation term lambda/alpha is 4.222557051367179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.11891416143919188 the lambda is 2.0 the regulation term lambda/alpha is 16.818854674619413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1472967008127656 the lambda is 2.0 the regulation term lambda/alpha is 13.57803663601587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19252020150413915 the lambda is 2.0 the regulation term lambda/alpha is 10.388520188396958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.16786384720620556 the lambda is 2.0 the regulation term lambda/alpha is 11.914417745610113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.08471560345697468 the lambda is 2.0 the regulation term lambda/alpha is 23.608401739306018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.22875809498121774 the lambda is 2.0 the regulation term lambda/alpha is 8.74286000748612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.05475857463664937 the lambda is 2.0 the regulation term lambda/alpha is 36.52396018835413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.17167474341714922 the lambda is 2.0 the regulation term lambda/alpha is 11.649937318620234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.17828758246137189 the lambda is 2.0 the regulation term lambda/alpha is 11.21783117135106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.17374061855733006 the lambda is 2.0 the regulation term lambda/alpha is 11.511412913152776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20491179782045046 the lambda is 2.0 the regulation term lambda/alpha is 9.760296973005218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.27881974313511365 the lambda is 2.0 the regulation term lambda/alpha is 7.173093187417568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2777311100770341 the lambda is 2.0 the regulation term lambda/alpha is 7.20120983005923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21336249803259608 the lambda is 2.0 the regulation term lambda/alpha is 9.373718523366996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1314752131948575 the lambda is 2.0 the regulation term lambda/alpha is 15.211992826631352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1964418433025115 the lambda is 2.0 the regulation term lambda/alpha is 10.181130284549871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.11675851696268086 the lambda is 2.0 the regulation term lambda/alpha is 17.12937139000535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.21008534065532883 the lambda is 2.0 the regulation term lambda/alpha is 9.519940771504134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.3423447607911538 the lambda is 2.0 the regulation term lambda/alpha is 5.842063992386006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.344567201371943 the lambda is 2.0 the regulation term lambda/alpha is 5.804382982584289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.17235473682001975 the lambda is 2.0 the regulation term lambda/alpha is 11.603974668178028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.19588524722929873 the lambda is 2.0 the regulation term lambda/alpha is 10.210059349997126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.15076075077166554 the lambda is 2.0 the regulation term lambda/alpha is 13.266052269990993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.07325509088608449 the lambda is 2.0 the regulation term lambda/alpha is 27.301856783033752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.251970453043719 the lambda is 2.0 the regulation term lambda/alpha is 7.937438599806712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.24572594137784118 the lambda is 2.0 the regulation term lambda/alpha is 8.139148796360473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.1892399128787238 the lambda is 2.0 the regulation term lambda/alpha is 10.56859501558595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2226719628047842 the lambda is 2.0 the regulation term lambda/alpha is 8.981822295038524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20767625874069529 the lambda is 2.0 the regulation term lambda/alpha is 9.630373794903544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1674575062809224 the lambda is 2.0 the regulation term lambda/alpha is 11.943328456383744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.09263233793022237 the lambda is 2.0 the regulation term lambda/alpha is 21.590732185843677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22632220188021676 the lambda is 2.0 the regulation term lambda/alpha is 8.836958916909618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 1.476535657448173 the lambda is 2.0 the regulation term lambda/alpha is 1.3545219784644456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28392408162985144 the lambda is 2.0 the regulation term lambda/alpha is 7.044136547062524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19716336688118927 the lambda is 2.0 the regulation term lambda/alpha is 10.143872219453428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.10471808753868059 the lambda is 2.0 the regulation term lambda/alpha is 19.09889730617209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3136782172289278 the lambda is 2.0 the regulation term lambda/alpha is 6.3759607462330266 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35236986184471525 the lambda is 2.0 the regulation term lambda/alpha is 5.675854312652237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.22542345044555204 the lambda is 2.0 the regulation term lambda/alpha is 8.872191407091751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.11883068713483914 the lambda is 2.0 the regulation term lambda/alpha is 16.83066931802361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.07859685605929458 the lambda is 2.0 the regulation term lambda/alpha is 25.446310454087016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.15963674410874834 the lambda is 2.0 the regulation term lambda/alpha is 12.528443944193402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22960497400190025 the lambda is 2.0 the regulation term lambda/alpha is 8.710612689006675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1146608865593668 the lambda is 2.0 the regulation term lambda/alpha is 17.442739717213684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.09138909485740912 the lambda is 2.0 the regulation term lambda/alpha is 21.88444915797145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.14824606370189866 the lambda is 2.0 the regulation term lambda/alpha is 13.491083338453493 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.12993455991025032 the lambda is 2.0 the regulation term lambda/alpha is 15.39236367431005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.6414079373514853 the lambda is 2.0 the regulation term lambda/alpha is 3.1181403963574894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.18663560702699947 the lambda is 2.0 the regulation term lambda/alpha is 10.716068770900034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.19421926173675644 the lambda is 2.0 the regulation term lambda/alpha is 10.297639802126255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.1732809768070365 the lambda is 2.0 the regulation term lambda/alpha is 11.54194786325088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.14338016435596243 the lambda is 2.0 the regulation term lambda/alpha is 13.948930864904748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1700199408468188 the lambda is 2.0 the regulation term lambda/alpha is 11.763326054806244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.26293898039841207 the lambda is 2.0 the regulation term lambda/alpha is 7.606327509787812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.0852087483136923 the lambda is 2.0 the regulation term lambda/alpha is 23.47176832872943 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23820751671767132 the lambda is 2.0 the regulation term lambda/alpha is 8.39604067729921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3572520852456855 the lambda is 2.0 the regulation term lambda/alpha is 5.598287826996396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23235344470196423 the lambda is 2.0 the regulation term lambda/alpha is 8.607576283473506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 1.4117896001008052 the lambda is 2.0 the regulation term lambda/alpha is 1.416641686450442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.4315293471101088 the lambda is 2.0 the regulation term lambda/alpha is 4.634678993198766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.10708725642240438 the lambda is 2.0 the regulation term lambda/alpha is 18.676358577261745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.4706620815334197 the lambda is 2.0 the regulation term lambda/alpha is 4.249333180790747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21302799808227635 the lambda is 2.0 the regulation term lambda/alpha is 9.388437285260286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2587087877925061 the lambda is 2.0 the regulation term lambda/alpha is 7.7306999003221835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 26 iterations the alpha is 0.4967633193438214 the lambda is 2.0 the regulation term lambda/alpha is 4.026062154995292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.08955553125234825 the lambda is 2.0 the regulation term lambda/alpha is 22.332512263976522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.2867658484110954 the lambda is 2.0 the regulation term lambda/alpha is 6.97433118720917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1947605993697289 the lambda is 2.0 the regulation term lambda/alpha is 10.269017483373254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2948586282220857 the lambda is 2.0 the regulation term lambda/alpha is 6.782911567009029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.06795645506533643 the lambda is 2.0 the regulation term lambda/alpha is 29.430611088778967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.10298022084681614 the lambda is 2.0 the regulation term lambda/alpha is 19.42120519410242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 24 iterations the alpha is 0.5880583133368561 the lambda is 2.0 the regulation term lambda/alpha is 3.4010232567775036 20 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.4444041332118438 the lambda is 2.0 the regulation term lambda/alpha is 4.500408188252868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18451984218523876 the lambda is 2.0 the regulation term lambda/alpha is 10.838942719191184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.5695214070462216 the lambda is 2.0 the regulation term lambda/alpha is 3.511720499450309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.472383185048209 the lambda is 2.0 the regulation term lambda/alpha is 4.233850956815684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.584504388169463 the lambda is 2.0 the regulation term lambda/alpha is 3.4217022839872127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.1960651617866743 the lambda is 2.0 the regulation term lambda/alpha is 10.200690330575247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.13348742830478075 the lambda is 2.0 the regulation term lambda/alpha is 14.982684327647442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.29369869500871 the lambda is 2.0 the regulation term lambda/alpha is 6.809699988420744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.3034908638869281 the lambda is 2.0 the regulation term lambda/alpha is 6.589984207053897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.3180372942813204 the lambda is 2.0 the regulation term lambda/alpha is 6.288570667535918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1481120770140811 the lambda is 2.0 the regulation term lambda/alpha is 13.503287782601676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.23599509391067802 the lambda is 2.0 the regulation term lambda/alpha is 8.474752448697012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5124947164212722 the lambda is 2.0 the regulation term lambda/alpha is 3.902479256695388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.25648253561397527 the lambda is 2.0 the regulation term lambda/alpha is 7.797801886246728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2743227489000383 the lambda is 2.0 the regulation term lambda/alpha is 7.290682263937173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.24763050706363668 the lambda is 2.0 the regulation term lambda/alpha is 8.076549306124205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.18337246295539453 the lambda is 2.0 the regulation term lambda/alpha is 10.906763031734494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.10766102063340907 the lambda is 2.0 the regulation term lambda/alpha is 18.576825560757925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.13515676675613572 the lambda is 2.0 the regulation term lambda/alpha is 14.797631284037843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1656777498848319 the lambda is 2.0 the regulation term lambda/alpha is 12.071627007188754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.6221075474817745 the lambda is 2.0 the regulation term lambda/alpha is 3.214878212128736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3121925705807031 the lambda is 2.0 the regulation term lambda/alpha is 6.4063023546006885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1236289810621722 the lambda is 2.0 the regulation term lambda/alpha is 16.177436575281757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.12466454303361366 the lambda is 2.0 the regulation term lambda/alpha is 16.04305403390228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.1387816157743681 the lambda is 2.0 the regulation term lambda/alpha is 14.411130673471988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.22641688625908662 the lambda is 2.0 the regulation term lambda/alpha is 8.833263424139751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.19455519812848704 the lambda is 2.0 the regulation term lambda/alpha is 10.279858976983855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1784611925655556 the lambda is 2.0 the regulation term lambda/alpha is 11.206918273087993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.30865445824975174 the lambda is 2.0 the regulation term lambda/alpha is 6.479737928754213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.07230987491731028 the lambda is 2.0 the regulation term lambda/alpha is 27.65873958829404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 16 iterations the alpha is 0.5733512092974181 the lambda is 2.0 the regulation term lambda/alpha is 3.4882633324359613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.26081873183238774 the lambda is 2.0 the regulation term lambda/alpha is 7.668160894537582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.346626174375403 the lambda is 2.0 the regulation term lambda/alpha is 5.76990472114192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1545808653637395 the lambda is 2.0 the regulation term lambda/alpha is 12.938211953296168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.23577519007133405 the lambda is 2.0 the regulation term lambda/alpha is 8.482656718015571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.4350704036893809 the lambda is 2.0 the regulation term lambda/alpha is 4.5969571431199965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18687383854122994 the lambda is 2.0 the regulation term lambda/alpha is 10.702407654342373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.11512595949790562 the lambda is 2.0 the regulation term lambda/alpha is 17.372276493698923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.27913837713591366 the lambda is 2.0 the regulation term lambda/alpha is 7.164905164674622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3733952798830503 the lambda is 2.0 the regulation term lambda/alpha is 5.3562541032291895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.1764071129818042 the lambda is 2.0 the regulation term lambda/alpha is 11.33741132199297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.18548908021587154 the lambda is 2.0 the regulation term lambda/alpha is 10.782305878450671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.5433187030501753 the lambda is 2.0 the regulation term lambda/alpha is 3.681080715189922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.28455846548902086 the lambda is 2.0 the regulation term lambda/alpha is 7.028432615993166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.3106023517380112 the lambda is 2.0 the regulation term lambda/alpha is 6.439101277916184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 1.1548592259385282 the lambda is 2.0 the regulation term lambda/alpha is 1.731812808937509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2981927666711519 the lambda is 2.0 the regulation term lambda/alpha is 6.707070806333835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.2490822830672375 the lambda is 2.0 the regulation term lambda/alpha is 8.029475141193073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.19389715819102907 the lambda is 2.0 the regulation term lambda/alpha is 10.31474632562476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.5138760803557918 the lambda is 2.0 the regulation term lambda/alpha is 3.891988898598398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.42766906226590756 the lambda is 2.0 the regulation term lambda/alpha is 4.676513165117564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.4398782261768785 the lambda is 2.0 the regulation term lambda/alpha is 4.546712887752221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.274135970168991 the lambda is 2.0 the regulation term lambda/alpha is 7.295649668911018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.12470034236845114 the lambda is 2.0 the regulation term lambda/alpha is 16.0384483475644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.21092231765181094 the lambda is 2.0 the regulation term lambda/alpha is 9.482163965700328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.16167244167339925 the lambda is 2.0 the regulation term lambda/alpha is 12.37069211857564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.5414173557637204 the lambda is 2.0 the regulation term lambda/alpha is 3.6940079195998634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.31338753214417 the lambda is 2.0 the regulation term lambda/alpha is 6.381874819065633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16962888545611943 the lambda is 2.0 the regulation term lambda/alpha is 11.79044473836015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.24807367680830636 the lambda is 2.0 the regulation term lambda/alpha is 8.062121002646554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.23112018817262936 the lambda is 2.0 the regulation term lambda/alpha is 8.6535062809232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.13669351857071121 the lambda is 2.0 the regulation term lambda/alpha is 14.631271628035568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.101058687018554 the lambda is 2.0 the regulation term lambda/alpha is 19.790480749396707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1087052318363371 the lambda is 2.0 the regulation term lambda/alpha is 18.39837849765255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.39220457147296556 the lambda is 2.0 the regulation term lambda/alpha is 5.09937962346739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.11447665954123869 the lambda is 2.0 the regulation term lambda/alpha is 17.47081027708995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.1885659841148966 the lambda is 2.0 the regulation term lambda/alpha is 10.606366834335107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1620957312354088 the lambda is 2.0 the regulation term lambda/alpha is 12.338387844991642 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2172275437657235 the lambda is 2.0 the regulation term lambda/alpha is 9.206935572392092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19229817959318446 the lambda is 2.0 the regulation term lambda/alpha is 10.400514473049567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.30279314471968355 the lambda is 2.0 the regulation term lambda/alpha is 6.605169353657388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3947445820410624 the lambda is 2.0 the regulation term lambda/alpha is 5.066567322238648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.24737094688958622 the lambda is 2.0 the regulation term lambda/alpha is 8.08502382817291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 16 iterations the alpha is 0.3884462092077265 the lambda is 2.0 the regulation term lambda/alpha is 5.148718027340756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.41521219077196037 the lambda is 2.0 the regulation term lambda/alpha is 4.816814256541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20997609385739574 the lambda is 2.0 the regulation term lambda/alpha is 9.524893826048077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2254127186101872 the lambda is 2.0 the regulation term lambda/alpha is 8.872613809598999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3818935253044175 the lambda is 2.0 the regulation term lambda/alpha is 5.237061818227336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.21276354996512784 the lambda is 2.0 the regulation term lambda/alpha is 9.400106363744175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.12228738226958444 the lambda is 2.0 the regulation term lambda/alpha is 16.354917104946846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.21137794361398085 the lambda is 2.0 the regulation term lambda/alpha is 9.461725125173926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.16813188914871052 the lambda is 2.0 the regulation term lambda/alpha is 11.895423349647999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.13079460480407487 the lambda is 2.0 the regulation term lambda/alpha is 15.291150602090358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1967874393941311 the lambda is 2.0 the regulation term lambda/alpha is 10.16325028750614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2264790130036143 the lambda is 2.0 the regulation term lambda/alpha is 8.830840321474213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.14203693768795167 the lambda is 2.0 the regulation term lambda/alpha is 14.08084426879087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.09284803195061535 the lambda is 2.0 the regulation term lambda/alpha is 21.540575044862273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1622890848185606 the lambda is 2.0 the regulation term lambda/alpha is 12.323687709718754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.1934614119707802 the lambda is 2.0 the regulation term lambda/alpha is 10.337978926268116 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.16938983362347387 the lambda is 2.0 the regulation term lambda/alpha is 11.807084033423608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.23161522939643478 the lambda is 2.0 the regulation term lambda/alpha is 8.635010768556938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.1734281234621997 the lambda is 2.0 the regulation term lambda/alpha is 11.532154993511872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.14328256344687998 the lambda is 2.0 the regulation term lambda/alpha is 13.958432567696713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.15164440738338375 the lambda is 2.0 the regulation term lambda/alpha is 13.18874882700849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.13681793553932942 the lambda is 2.0 the regulation term lambda/alpha is 14.617966512329692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.18153469042371878 the lambda is 2.0 the regulation term lambda/alpha is 11.017178013369318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.29117439373753323 the lambda is 2.0 the regulation term lambda/alpha is 6.86873586075984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.3862958673911859 the lambda is 2.0 the regulation term lambda/alpha is 5.177378711055903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18128975022156382 the lambda is 2.0 the regulation term lambda/alpha is 11.032063299528483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17406022751800135 the lambda is 2.0 the regulation term lambda/alpha is 11.490275685139844 30 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.35770346238047745 the lambda is 2.0 the regulation term lambda/alpha is 5.591223486320816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 16 iterations the alpha is 0.47651532623167675 the lambda is 2.0 the regulation term lambda/alpha is 4.197136775885402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.14336945631923426 the lambda is 2.0 the regulation term lambda/alpha is 13.949972688371579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.09554411260408789 the lambda is 2.0 the regulation term lambda/alpha is 20.932739291718843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3885563572581962 the lambda is 2.0 the regulation term lambda/alpha is 5.147258467504618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.14526065903040003 the lambda is 2.0 the regulation term lambda/alpha is 13.768352789735324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.21003255465129045 the lambda is 2.0 the regulation term lambda/alpha is 9.522333351229902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.35212181569783874 the lambda is 2.0 the regulation term lambda/alpha is 5.679852570441791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23533923272384788 the lambda is 2.0 the regulation term lambda/alpha is 8.498370530284014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.15322393821695815 the lambda is 2.0 the regulation term lambda/alpha is 13.052790727569544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.29028254093168465 the lambda is 2.0 the regulation term lambda/alpha is 6.889839098076111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.426483364017746 the lambda is 2.0 the regulation term lambda/alpha is 4.6895146885888375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.32202044098753574 the lambda is 2.0 the regulation term lambda/alpha is 6.2107858552911335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2872121845950069 the lambda is 2.0 the regulation term lambda/alpha is 6.9634928713771895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.34488166455035046 the lambda is 2.0 the regulation term lambda/alpha is 5.7990905448904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4665119337759947 the lambda is 2.0 the regulation term lambda/alpha is 4.287135773380539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1809241625547427 the lambda is 2.0 the regulation term lambda/alpha is 11.054355436880106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.419715050718485 the lambda is 2.0 the regulation term lambda/alpha is 4.765137672752788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.22255602453680204 the lambda is 2.0 the regulation term lambda/alpha is 8.986501282823186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.37222097357403805 the lambda is 2.0 the regulation term lambda/alpha is 5.373152353012645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3050578120125604 the lambda is 2.0 the regulation term lambda/alpha is 6.55613434976598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3650761193972803 the lambda is 2.0 the regulation term lambda/alpha is 5.4783095736359995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17291119432757224 the lambda is 2.0 the regulation term lambda/alpha is 11.56663111244893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 16 iterations the alpha is 0.25046918566019266 the lambda is 2.0 the regulation term lambda/alpha is 7.985014183394864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2413232318695263 the lambda is 2.0 the regulation term lambda/alpha is 8.287639712538406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.31907921893843905 the lambda is 2.0 the regulation term lambda/alpha is 6.2680359023502135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.15007675276076843 the lambda is 2.0 the regulation term lambda/alpha is 13.326514354878952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.15070566022454265 the lambda is 2.0 the regulation term lambda/alpha is 13.270901683587176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.6183047927111676 the lambda is 2.0 the regulation term lambda/alpha is 3.234650650580145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.16480666689060774 the lambda is 2.0 the regulation term lambda/alpha is 12.135431398097033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1524132682603647 the lambda is 2.0 the regulation term lambda/alpha is 13.122217132588732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.1792934733409414 the lambda is 2.0 the regulation term lambda/alpha is 11.154895728952912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.19671506565903635 the lambda is 2.0 the regulation term lambda/alpha is 10.166989464175428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31961999898690346 the lambda is 2.0 the regulation term lambda/alpha is 6.257430718789129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3270086136548801 the lambda is 2.0 the regulation term lambda/alpha is 6.116046845514502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.161208358041005 the lambda is 2.0 the regulation term lambda/alpha is 12.406304637699241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.28950580950078153 the lambda is 2.0 the regulation term lambda/alpha is 6.9083242351811975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.5311339593728512 the lambda is 2.0 the regulation term lambda/alpha is 3.7655283845181855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1625125622407866 the lambda is 2.0 the regulation term lambda/alpha is 12.306740921583044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.39840056264816515 the lambda is 2.0 the regulation term lambda/alpha is 5.020073231588873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.22514524633761077 the lambda is 2.0 the regulation term lambda/alpha is 8.883154463767587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.13967976922205605 the lambda is 2.0 the regulation term lambda/alpha is 14.318465810324314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.15331380024924035 the lambda is 2.0 the regulation term lambda/alpha is 13.045140077074763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2822502882499572 the lambda is 2.0 the regulation term lambda/alpha is 7.0859095039393765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20512247042398749 the lambda is 2.0 the regulation term lambda/alpha is 9.750272585280426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.31541586869724386 the lambda is 2.0 the regulation term lambda/alpha is 6.340835064071322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2887804274078338 the lambda is 2.0 the regulation term lambda/alpha is 6.9256771241475965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.33716159290885145 the lambda is 2.0 the regulation term lambda/alpha is 5.931873742632013 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.307298864709838 the lambda is 2.0 the regulation term lambda/alpha is 6.508322124419391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.1980727888534533 the lambda is 2.0 the regulation term lambda/alpha is 10.09729812750668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3066838450872911 the lambda is 2.0 the regulation term lambda/alpha is 6.521373825317543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.19690705516178975 the lambda is 2.0 the regulation term lambda/alpha is 10.157076384879604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.17928418678637664 the lambda is 2.0 the regulation term lambda/alpha is 11.155473529760155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2935914905636099 the lambda is 2.0 the regulation term lambda/alpha is 6.812186539060053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.11489142506424635 the lambda is 2.0 the regulation term lambda/alpha is 17.40773951477768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4144059001434526 the lambda is 2.0 the regulation term lambda/alpha is 4.826186111992303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.7979915374253832 the lambda is 2.0 the regulation term lambda/alpha is 2.5062922427131773 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.4845948124295877 the lambda is 2.0 the regulation term lambda/alpha is 4.127159327134982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.17823078506881665 the lambda is 2.0 the regulation term lambda/alpha is 11.221405994636562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3893455243298217 the lambda is 2.0 the regulation term lambda/alpha is 5.1368254545691485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.20224854521467092 the lambda is 2.0 the regulation term lambda/alpha is 9.888822675471694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2268919587316617 the lambda is 2.0 the regulation term lambda/alpha is 8.81476810011297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.14268736945745672 the lambda is 2.0 the regulation term lambda/alpha is 14.016657589278179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.25372898080569956 the lambda is 2.0 the regulation term lambda/alpha is 7.8824263339928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.11406079112151127 the lambda is 2.0 the regulation term lambda/alpha is 17.534509276455566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2999376116992736 the lambda is 2.0 the regulation term lambda/alpha is 6.668053361727971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.5353052171186565 the lambda is 2.0 the regulation term lambda/alpha is 3.7361862654080524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.22645237332926738 the lambda is 2.0 the regulation term lambda/alpha is 8.83187917439907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.11216458676420765 the lambda is 2.0 the regulation term lambda/alpha is 17.830939850956693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2289885071638497 the lambda is 2.0 the regulation term lambda/alpha is 8.73406279105932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 19 iterations the alpha is 0.8862137933928378 the lambda is 2.0 the regulation term lambda/alpha is 2.2567917752025406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.11941034554540128 the lambda is 2.0 the regulation term lambda/alpha is 16.748967527604847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1764467642778467 the lambda is 2.0 the regulation term lambda/alpha is 11.334863567408046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1942038778249122 the lambda is 2.0 the regulation term lambda/alpha is 10.29845553240257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.16484748226364157 the lambda is 2.0 the regulation term lambda/alpha is 12.132426728855876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.15053697904638255 the lambda is 2.0 the regulation term lambda/alpha is 13.285772125025652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.41274513800334617 the lambda is 2.0 the regulation term lambda/alpha is 4.845605231535848 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.18930823033392327 the lambda is 2.0 the regulation term lambda/alpha is 10.564781026541603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.20776488818149266 the lambda is 2.0 the regulation term lambda/alpha is 9.626265619303794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.467231499445381 the lambda is 2.0 the regulation term lambda/alpha is 4.28053331672643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3758871261011482 the lambda is 2.0 the regulation term lambda/alpha is 5.32074620576874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3880638001215459 the lambda is 2.0 the regulation term lambda/alpha is 5.1537917202624355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.27625258960632926 the lambda is 2.0 the regulation term lambda/alpha is 7.239751138080111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 14 iterations the alpha is 0.3201108551391151 the lambda is 2.0 the regulation term lambda/alpha is 6.247835610357018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.38137296535703424 the lambda is 2.0 the regulation term lambda/alpha is 5.244210213295107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 16 iterations the alpha is 0.22985065630961637 the lambda is 2.0 the regulation term lambda/alpha is 8.701302106816412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.1290372672095459 the lambda is 2.0 the regulation term lambda/alpha is 15.499398299811826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.29189774681842307 the lambda is 2.0 the regulation term lambda/alpha is 6.85171441643266 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18018145848801895 the lambda is 2.0 the regulation term lambda/alpha is 11.09992125040429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.18828176042897232 the lambda is 2.0 the regulation term lambda/alpha is 10.622377841822246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.21839074564419925 the lambda is 2.0 the regulation term lambda/alpha is 9.157897208970507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.0747286499766838 the lambda is 2.0 the regulation term lambda/alpha is 26.763497007158875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.2672137254922932 the lambda is 2.0 the regulation term lambda/alpha is 7.484645469896278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3076529973675338 the lambda is 2.0 the regulation term lambda/alpha is 6.50083053671902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.1559055688164578 the lambda is 2.0 the regulation term lambda/alpha is 12.828278137739456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.20431316148180423 the lambda is 2.0 the regulation term lambda/alpha is 9.788894584640435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1792340936719646 the lambda is 2.0 the regulation term lambda/alpha is 11.15859130942137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.21480123377724888 the lambda is 2.0 the regulation term lambda/alpha is 9.310933484087995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.1576583695902825 the lambda is 2.0 the regulation term lambda/alpha is 12.685657001258706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4009033020823802 the lambda is 2.0 the regulation term lambda/alpha is 4.988734165100559 40 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.46187596380924995 the lambda is 2.0 the regulation term lambda/alpha is 4.330166877499561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.19494562936624563 the lambda is 2.0 the regulation term lambda/alpha is 10.259270784894525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3459133787922027 the lambda is 2.0 the regulation term lambda/alpha is 5.78179429481229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4677263495954738 the lambda is 2.0 the regulation term lambda/alpha is 4.27600455208426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3248268793639597 the lambda is 2.0 the regulation term lambda/alpha is 6.157125924788552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.22395909631481253 the lambda is 2.0 the regulation term lambda/alpha is 8.930202134717764 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5224314984849746 the lambda is 2.0 the regulation term lambda/alpha is 3.8282530930847405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.4797213732532239 the lambda is 2.0 the regulation term lambda/alpha is 4.169086706387559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3022560242675458 the lambda is 2.0 the regulation term lambda/alpha is 6.616906990841891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2996349099523557 the lambda is 2.0 the regulation term lambda/alpha is 6.674789664255129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.22960053143168366 the lambda is 2.0 the regulation term lambda/alpha is 8.710781231772057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19799075197398808 the lambda is 2.0 the regulation term lambda/alpha is 10.101481912967122 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.13219730727487147 the lambda is 2.0 the regulation term lambda/alpha is 15.128901194950187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.21995906376146557 the lambda is 2.0 the regulation term lambda/alpha is 9.092600985831156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2937441672762381 the lambda is 2.0 the regulation term lambda/alpha is 6.808645831320262 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.4584605451177297 the lambda is 2.0 the regulation term lambda/alpha is 4.362425559404273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.33694309299233405 the lambda is 2.0 the regulation term lambda/alpha is 5.935720427560457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5852820546327696 the lambda is 2.0 the regulation term lambda/alpha is 3.417155855316431 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3361740937992572 the lambda is 2.0 the regulation term lambda/alpha is 5.949298404874346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1828639434510057 the lambda is 2.0 the regulation term lambda/alpha is 10.937093241324828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1455341048735075 the lambda is 2.0 the regulation term lambda/alpha is 13.742483260115014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3040746602651594 the lambda is 2.0 the regulation term lambda/alpha is 6.57733202186581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2327838177405761 the lambda is 2.0 the regulation term lambda/alpha is 8.591662510788797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.4910464501513137 the lambda is 2.0 the regulation term lambda/alpha is 4.072934443134065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3846694069458749 the lambda is 2.0 the regulation term lambda/alpha is 5.199269720665389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2203863817825526 the lambda is 2.0 the regulation term lambda/alpha is 9.074970893497987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.27415129898261575 the lambda is 2.0 the regulation term lambda/alpha is 7.295241742140432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.4176448457866249 the lambda is 2.0 the regulation term lambda/alpha is 4.788757769135266 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1834791370501745 the lambda is 2.0 the regulation term lambda/alpha is 10.900421879862433 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1501543998600353 the lambda is 2.0 the regulation term lambda/alpha is 13.319623013806304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1521955941260566 the lambda is 2.0 the regulation term lambda/alpha is 13.140984872029161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20309968420109792 the lambda is 2.0 the regulation term lambda/alpha is 9.847381141271063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3095225106188669 the lambda is 2.0 the regulation term lambda/alpha is 6.4615655772536575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.35671469852478344 the lambda is 2.0 the regulation term lambda/alpha is 5.606721585264438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.26984948474923515 the lambda is 2.0 the regulation term lambda/alpha is 7.41153907282259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.193534589118105 the lambda is 2.0 the regulation term lambda/alpha is 10.334070044603214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.5888833083071097 the lambda is 2.0 the regulation term lambda/alpha is 3.3962585996018353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.22171293232932726 the lambda is 2.0 the regulation term lambda/alpha is 9.020673620559247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.15342851735439247 the lambda is 2.0 the regulation term lambda/alpha is 13.035386344641246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1613976813474933 the lambda is 2.0 the regulation term lambda/alpha is 12.391751748241967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2831363807718576 the lambda is 2.0 the regulation term lambda/alpha is 7.063733719233832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.36682880356470854 the lambda is 2.0 the regulation term lambda/alpha is 5.452134566764467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.16881362247435627 the lambda is 2.0 the regulation term lambda/alpha is 11.847385126184417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19360683042911772 the lambda is 2.0 the regulation term lambda/alpha is 10.330214050646468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2627086592552723 the lambda is 2.0 the regulation term lambda/alpha is 7.612996106293599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20924195497745873 the lambda is 2.0 the regulation term lambda/alpha is 9.558312529700157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.28255786352786416 the lambda is 2.0 the regulation term lambda/alpha is 7.07819621449952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.18412809046031667 the lambda is 2.0 the regulation term lambda/alpha is 10.8620037007935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22351371331758282 the lambda is 2.0 the regulation term lambda/alpha is 8.947996837931237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1906497587721342 the lambda is 2.0 the regulation term lambda/alpha is 10.490440758387807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.30327922497260906 the lambda is 2.0 the regulation term lambda/alpha is 6.594582929907684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.2839536285961864 the lambda is 2.0 the regulation term lambda/alpha is 7.043403565179378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.26865953056451913 the lambda is 2.0 the regulation term lambda/alpha is 7.444366465606162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1902820102067249 the lambda is 2.0 the regulation term lambda/alpha is 10.510715110835616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.22882267107967433 the lambda is 2.0 the regulation term lambda/alpha is 8.740392682959351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.20314723626859266 the lambda is 2.0 the regulation term lambda/alpha is 9.8450760971992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.550069454392911 the lambda is 2.0 the regulation term lambda/alpha is 3.635904491746988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3373611011647186 the lambda is 2.0 the regulation term lambda/alpha is 5.928365757329822 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19243885250610657 the lambda is 2.0 the regulation term lambda/alpha is 10.392911690930681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.444138004987136 the lambda is 2.0 the regulation term lambda/alpha is 4.503104840257766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 15 iterations the alpha is 0.34004486645501814 the lambda is 2.0 the regulation term lambda/alpha is 5.881576807349227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2512725915966547 the lambda is 2.0 the regulation term lambda/alpha is 7.959483313685164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.5497730082586783 the lambda is 2.0 the regulation term lambda/alpha is 3.6378650278497546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.13546233326268958 the lambda is 2.0 the regulation term lambda/alpha is 14.764251816935596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3009944496087624 the lambda is 2.0 the regulation term lambda/alpha is 6.644640798525133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.1810551886938628 the lambda is 2.0 the regulation term lambda/alpha is 11.046355613600781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24039838342349545 the lambda is 2.0 the regulation term lambda/alpha is 8.319523498944331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2447951473687433 the lambda is 2.0 the regulation term lambda/alpha is 8.170096595041288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3392707949730202 the lambda is 2.0 the regulation term lambda/alpha is 5.894996061063982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.27730976552702435 the lambda is 2.0 the regulation term lambda/alpha is 7.212151350671046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20466314386156123 the lambda is 2.0 the regulation term lambda/alpha is 9.772155172955054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2127586354624654 the lambda is 2.0 the regulation term lambda/alpha is 9.400323496400866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1677858347000862 the lambda is 2.0 the regulation term lambda/alpha is 11.919957388387164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23229174576169037 the lambda is 2.0 the regulation term lambda/alpha is 8.609862539204528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.3823889030156061 the lambda is 2.0 the regulation term lambda/alpha is 5.230277302054385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2728892181136421 the lambda is 2.0 the regulation term lambda/alpha is 7.328981386018407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.14028632158552423 the lambda is 2.0 the regulation term lambda/alpha is 14.256557427665667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.31183817484922016 the lambda is 2.0 the regulation term lambda/alpha is 6.413582945600035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3237094407150154 the lambda is 2.0 the regulation term lambda/alpha is 6.178380202883064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19573450105680867 the lambda is 2.0 the regulation term lambda/alpha is 10.217922692226514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1651805456217903 the lambda is 2.0 the regulation term lambda/alpha is 12.107963395273856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19957277526056114 the lambda is 2.0 the regulation term lambda/alpha is 10.021406964896945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.28021880328414256 the lambda is 2.0 the regulation term lambda/alpha is 7.137279784797293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2529138198359301 the lambda is 2.0 the regulation term lambda/alpha is 7.907832008932677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.26865152365522105 the lambda is 2.0 the regulation term lambda/alpha is 7.44458833803875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22768315755491333 the lambda is 2.0 the regulation term lambda/alpha is 8.784136786743366 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.41742694223635934 the lambda is 2.0 the regulation term lambda/alpha is 4.791257577397919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5304344869874685 the lambda is 2.0 the regulation term lambda/alpha is 3.7704939046454755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.25232361458922187 the lambda is 2.0 the regulation term lambda/alpha is 7.926329064586216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.33122701471776617 the lambda is 2.0 the regulation term lambda/alpha is 6.0381548337902675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18741000481971828 the lambda is 2.0 the regulation term lambda/alpha is 10.67178885099506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19675116140928509 the lambda is 2.0 the regulation term lambda/alpha is 10.165124239544214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3680679612601739 the lambda is 2.0 the regulation term lambda/alpha is 5.433779112836916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.3091393655967072 the lambda is 2.0 the regulation term lambda/alpha is 6.469573993397957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.50601301064481 the lambda is 2.0 the regulation term lambda/alpha is 3.9524675412029615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.16273337688471554 the lambda is 2.0 the regulation term lambda/alpha is 12.290041774385662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.31746209771319933 the lambda is 2.0 the regulation term lambda/alpha is 6.299964671079676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2563618417137799 the lambda is 2.0 the regulation term lambda/alpha is 7.801473053204768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.5859670064963385 the lambda is 2.0 the regulation term lambda/alpha is 3.4131614541893107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18364278122063976 the lambda is 2.0 the regulation term lambda/alpha is 10.890708508694805 50 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2087615305441606 the lambda is 2.0 the regulation term lambda/alpha is 9.580309144059123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20001771595393955 the lambda is 2.0 the regulation term lambda/alpha is 9.999114280759828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.21317063128050223 the lambda is 2.0 the regulation term lambda/alpha is 9.3821554497734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.5327899369009426 the lambda is 2.0 the regulation term lambda/alpha is 3.7538246529829715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.49613467454973675 the lambda is 2.0 the regulation term lambda/alpha is 4.031163517879666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.2389362026906502 the lambda is 2.0 the regulation term lambda/alpha is 8.370435193487161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2953486010981587 the lambda is 2.0 the regulation term lambda/alpha is 6.771658956784098 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2903389375431396 the lambda is 2.0 the regulation term lambda/alpha is 6.8885007878174545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.19684771122599493 the lambda is 2.0 the regulation term lambda/alpha is 10.16013845192165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3331096641395071 the lambda is 2.0 the regulation term lambda/alpha is 6.004028748809867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3280059216440858 the lambda is 2.0 the regulation term lambda/alpha is 6.097450893493836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19322773693112336 the lambda is 2.0 the regulation term lambda/alpha is 10.350480897641038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3620612690572416 the lambda is 2.0 the regulation term lambda/alpha is 5.523926945314335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.20702922956743913 the lambda is 2.0 the regulation term lambda/alpha is 9.660471635714154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.15607675205027388 the lambda is 2.0 the regulation term lambda/alpha is 12.814208225936044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.36533585480455094 the lambda is 2.0 the regulation term lambda/alpha is 5.474414771224602 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.1943707163826187 the lambda is 2.0 the regulation term lambda/alpha is 10.289615829078905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22908356383308437 the lambda is 2.0 the regulation term lambda/alpha is 8.730438651012285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2716124526777482 the lambda is 2.0 the regulation term lambda/alpha is 7.363432641922642 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3421939212266423 the lambda is 2.0 the regulation term lambda/alpha is 5.844639182457475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2585910172329931 the lambda is 2.0 the regulation term lambda/alpha is 7.734220706506521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3654381452589256 the lambda is 2.0 the regulation term lambda/alpha is 5.472882417851948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3929949688174716 the lambda is 2.0 the regulation term lambda/alpha is 5.089123675089361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19028785874446852 the lambda is 2.0 the regulation term lambda/alpha is 10.510392061774871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.36405453992152004 the lambda is 2.0 the regulation term lambda/alpha is 5.493682348889658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3819064579360847 the lambda is 2.0 the regulation term lambda/alpha is 5.236884473775296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.15893268404933883 the lambda is 2.0 the regulation term lambda/alpha is 12.583944026133246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4974382604368515 the lambda is 2.0 the regulation term lambda/alpha is 4.020599457395165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3526152954863017 the lambda is 2.0 the regulation term lambda/alpha is 5.6719037024237515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16066014220411684 the lambda is 2.0 the regulation term lambda/alpha is 12.448638302952721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.325135944492284 the lambda is 2.0 the regulation term lambda/alpha is 6.151273133221551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.23040762567248732 the lambda is 2.0 the regulation term lambda/alpha is 8.68026826005706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1816923042676937 the lambda is 2.0 the regulation term lambda/alpha is 11.007620867933566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.23919412437765175 the lambda is 2.0 the regulation term lambda/alpha is 8.361409400016445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2976916623232854 the lambda is 2.0 the regulation term lambda/alpha is 6.718360818006558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.25119784618173735 the lambda is 2.0 the regulation term lambda/alpha is 7.961851705340794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.43058010204773695 the lambda is 2.0 the regulation term lambda/alpha is 4.644896479164908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3421142021919299 the lambda is 2.0 the regulation term lambda/alpha is 5.846001093161218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.22426346034067376 the lambda is 2.0 the regulation term lambda/alpha is 8.918082316940279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.5121214187873429 the lambda is 2.0 the regulation term lambda/alpha is 3.905323867796467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3755198360298216 the lambda is 2.0 the regulation term lambda/alpha is 5.325950344314625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21404737176934385 the lambda is 2.0 the regulation term lambda/alpha is 9.343726033483783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.270763444577075 the lambda is 2.0 the regulation term lambda/alpha is 7.386521482336526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.46997093120293393 the lambda is 2.0 the regulation term lambda/alpha is 4.255582350339872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.33706040780846636 the lambda is 2.0 the regulation term lambda/alpha is 5.933654483490967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3479045688587554 the lambda is 2.0 the regulation term lambda/alpha is 5.748702888728009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25104465200227233 the lambda is 2.0 the regulation term lambda/alpha is 7.966710240781776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1889627626930848 the lambda is 2.0 the regulation term lambda/alpha is 10.584095890090367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.31266004761223487 the lambda is 2.0 the regulation term lambda/alpha is 6.396723902762359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3778275747258073 the lambda is 2.0 the regulation term lambda/alpha is 5.293419892530124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.26344370940696776 the lambda is 2.0 the regulation term lambda/alpha is 7.591754627590673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5419919764139294 the lambda is 2.0 the regulation term lambda/alpha is 3.690091527245346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.31927324365567494 the lambda is 2.0 the regulation term lambda/alpha is 6.2642267704616375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3302166811653475 the lambda is 2.0 the regulation term lambda/alpha is 6.056629219765404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.30763492666488285 the lambda is 2.0 the regulation term lambda/alpha is 6.501212400302869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.186949229372179 the lambda is 2.0 the regulation term lambda/alpha is 10.698091704985822 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.30251093544679636 the lambda is 2.0 the regulation term lambda/alpha is 6.611331246740159 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16976028606354185 the lambda is 2.0 the regulation term lambda/alpha is 11.781318507270854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3027403073031735 the lambda is 2.0 the regulation term lambda/alpha is 6.606322157152131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.22594064606768943 the lambda is 2.0 the regulation term lambda/alpha is 8.851882274430698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5702331502764078 the lambda is 2.0 the regulation term lambda/alpha is 3.5073373041019185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21948015985639174 the lambda is 2.0 the regulation term lambda/alpha is 9.112440966457386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.26477754261335856 the lambda is 2.0 the regulation term lambda/alpha is 7.553510695280152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.44826500321775703 the lambda is 2.0 the regulation term lambda/alpha is 4.461646538640102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19669274197547157 the lambda is 2.0 the regulation term lambda/alpha is 10.168143368754341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.49124244033322795 the lambda is 2.0 the regulation term lambda/alpha is 4.071309471232424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.33583111335674926 the lambda is 2.0 the regulation term lambda/alpha is 5.955374354714492 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19865026288868767 the lambda is 2.0 the regulation term lambda/alpha is 10.06794539768964 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.30162231895557 the lambda is 2.0 the regulation term lambda/alpha is 6.630809042664402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17752228100381326 the lambda is 2.0 the regulation term lambda/alpha is 11.26619142504731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.28958898158826435 the lambda is 2.0 the regulation term lambda/alpha is 6.906340113601375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.31485532735573346 the lambda is 2.0 the regulation term lambda/alpha is 6.352123741391668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.34218767108832665 the lambda is 2.0 the regulation term lambda/alpha is 5.844745936167154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3233413328505429 the lambda is 2.0 the regulation term lambda/alpha is 6.185413978374531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 13 iterations the alpha is 0.3518148003791805 the lambda is 2.0 the regulation term lambda/alpha is 5.684809160514086 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.24965391630870254 the lambda is 2.0 the regulation term lambda/alpha is 8.011090030436199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2798501891680707 the lambda is 2.0 the regulation term lambda/alpha is 7.146680893607874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.15101061218376358 the lambda is 2.0 the regulation term lambda/alpha is 13.244102325512172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3996833319215468 the lambda is 2.0 the regulation term lambda/alpha is 5.003961487171991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.28825636500313007 the lambda is 2.0 the regulation term lambda/alpha is 6.938268301476302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2932076609710997 the lambda is 2.0 the regulation term lambda/alpha is 6.821104173663225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.33333129141362683 the lambda is 2.0 the regulation term lambda/alpha is 6.000036754779868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1663077830917524 the lambda is 2.0 the regulation term lambda/alpha is 12.0258953779487 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20001659585556317 the lambda is 2.0 the regulation term lambda/alpha is 9.999170276071734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5368572524950552 the lambda is 2.0 the regulation term lambda/alpha is 3.7253850827290838 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3854891222558835 the lambda is 2.0 the regulation term lambda/alpha is 5.188213841926315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3272609925290923 the lambda is 2.0 the regulation term lambda/alpha is 6.111330239952772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.48890418007613706 the lambda is 2.0 the regulation term lambda/alpha is 4.090781141794574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.342862325548217 the lambda is 2.0 the regulation term lambda/alpha is 5.833245156936143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.5851173355015785 the lambda is 2.0 the regulation term lambda/alpha is 3.4181178349220254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2427530385646368 the lambda is 2.0 the regulation term lambda/alpha is 8.238825811720863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.36608415480808776 the lambda is 2.0 the regulation term lambda/alpha is 5.463224708669676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4041860790075048 the lambda is 2.0 the regulation term lambda/alpha is 4.948215942793182 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.47042935559404936 the lambda is 2.0 the regulation term lambda/alpha is 4.2514353668989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.24988649294002382 the lambda is 2.0 the regulation term lambda/alpha is 8.003633875801471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.22133619353349523 the lambda is 2.0 the regulation term lambda/alpha is 9.036027809420768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.46535989312701725 the lambda is 2.0 the regulation term lambda/alpha is 4.297748967064748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.2547314370293533 the lambda is 2.0 the regulation term lambda/alpha is 7.851406262704573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2077819965497949 the lambda is 2.0 the regulation term lambda/alpha is 9.625473011184107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3310289419370337 the lambda is 2.0 the regulation term lambda/alpha is 6.041767793163015 60 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18468067992320836 the lambda is 2.0 the regulation term lambda/alpha is 10.829503123075003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25513688158222203 the lambda is 2.0 the regulation term lambda/alpha is 7.838929391929043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.27918180184154207 the lambda is 2.0 the regulation term lambda/alpha is 7.163790715611039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2198072923035803 the lambda is 2.0 the regulation term lambda/alpha is 9.098879200230353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1757522832298776 the lambda is 2.0 the regulation term lambda/alpha is 11.379653016422397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35532867591342543 the lambda is 2.0 the regulation term lambda/alpha is 5.62859159863386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3039764033153045 the lambda is 2.0 the regulation term lambda/alpha is 6.579458070386691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22134728599931033 the lambda is 2.0 the regulation term lambda/alpha is 9.035574983314824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.37920548267003845 the lambda is 2.0 the regulation term lambda/alpha is 5.274185346471581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22023423990423469 the lambda is 2.0 the regulation term lambda/alpha is 9.08124005090974 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4494490166738535 the lambda is 2.0 the regulation term lambda/alpha is 4.449892926234427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.42170474505600947 the lambda is 2.0 the regulation term lambda/alpha is 4.742654720981066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.20259383579215007 the lambda is 2.0 the regulation term lambda/alpha is 9.871968671603058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2944473923235734 the lambda is 2.0 the regulation term lambda/alpha is 6.792384827107468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2398853082182651 the lambda is 2.0 the regulation term lambda/alpha is 8.337317590872445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4100946435468202 the lambda is 2.0 the regulation term lambda/alpha is 4.876923001730603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.22801685268311336 the lambda is 2.0 the regulation term lambda/alpha is 8.771281492861855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2555895939911601 the lambda is 2.0 the regulation term lambda/alpha is 7.825044708467954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.6163741211630658 the lambda is 2.0 the regulation term lambda/alpha is 3.2447825619708115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.38245351887354245 the lambda is 2.0 the regulation term lambda/alpha is 5.229393642110262 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1994939795095676 the lambda is 2.0 the regulation term lambda/alpha is 10.02536520107907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.45938619426679284 the lambda is 2.0 the regulation term lambda/alpha is 4.353635405156475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.31135211387859874 the lambda is 2.0 the regulation term lambda/alpha is 6.423595379152726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2368170545621109 the lambda is 2.0 the regulation term lambda/alpha is 8.44533770466034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17827619081028687 the lambda is 2.0 the regulation term lambda/alpha is 11.218547978334954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.390160964583203 the lambda is 2.0 the regulation term lambda/alpha is 5.126089438846192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.34106287149912823 the lambda is 2.0 the regulation term lambda/alpha is 5.864021466801941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19489993740480016 the lambda is 2.0 the regulation term lambda/alpha is 10.261675948340978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.16270957454521898 the lambda is 2.0 the regulation term lambda/alpha is 12.291839651047551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22005983169824692 the lambda is 2.0 the regulation term lambda/alpha is 9.088437378896408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17434848850489892 the lambda is 2.0 the regulation term lambda/alpha is 11.471278111733117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.21384432766260678 the lambda is 2.0 the regulation term lambda/alpha is 9.352597854059066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.30440041983322597 the lambda is 2.0 the regulation term lambda/alpha is 6.5702931720519775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.17211804146350884 the lambda is 2.0 the regulation term lambda/alpha is 11.619932361501016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3296732287831492 the lambda is 2.0 the regulation term lambda/alpha is 6.06661331701747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2729416492193829 the lambda is 2.0 the regulation term lambda/alpha is 7.327573515145193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.30605016012373487 the lambda is 2.0 the regulation term lambda/alpha is 6.534876502568755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.27930425971632755 the lambda is 2.0 the regulation term lambda/alpha is 7.160649830515578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.27257950405360876 the lambda is 2.0 the regulation term lambda/alpha is 7.337308822774349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.49479313476367887 the lambda is 2.0 the regulation term lambda/alpha is 4.042093269857578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23264961741831508 the lambda is 2.0 the regulation term lambda/alpha is 8.59661847800895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5861234747880909 the lambda is 2.0 the regulation term lambda/alpha is 3.4122502954229685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4278867544819581 the lambda is 2.0 the regulation term lambda/alpha is 4.674133936259366 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.5504011179367362 the lambda is 2.0 the regulation term lambda/alpha is 3.633713549669575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16827065037042047 the lambda is 2.0 the regulation term lambda/alpha is 11.885614012885345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16474106935939353 the lambda is 2.0 the regulation term lambda/alpha is 12.140263552841628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.24319289687652262 the lambda is 2.0 the regulation term lambda/alpha is 8.223924406046565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.204366737911917 the lambda is 2.0 the regulation term lambda/alpha is 9.786328344987378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4242900234426628 the lambda is 2.0 the regulation term lambda/alpha is 4.713756839654453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.29027370292381627 the lambda is 2.0 the regulation term lambda/alpha is 6.8900488740618355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.29347089940647925 the lambda is 2.0 the regulation term lambda/alpha is 6.8149857585363165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.22689862463877433 the lambda is 2.0 the regulation term lambda/alpha is 8.814509136774307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3092312304720722 the lambda is 2.0 the regulation term lambda/alpha is 6.46765204454544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20138652372979335 the lambda is 2.0 the regulation term lambda/alpha is 9.931151116563605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 12 iterations the alpha is 0.22157045589178953 the lambda is 2.0 the regulation term lambda/alpha is 9.026474183799843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.25283756521668393 the lambda is 2.0 the regulation term lambda/alpha is 7.910216973834498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.20556651076981994 the lambda is 2.0 the regulation term lambda/alpha is 9.72921120522141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2225843843370217 the lambda is 2.0 the regulation term lambda/alpha is 8.98535629962136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.15474637693113963 the lambda is 2.0 the regulation term lambda/alpha is 12.924373672993825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.29768801587989596 the lambda is 2.0 the regulation term lambda/alpha is 6.71844311262739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.41884038510881894 the lambda is 2.0 the regulation term lambda/alpha is 4.775088723787655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.16036182832879448 the lambda is 2.0 the regulation term lambda/alpha is 12.47179594322997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20837051002445042 the lambda is 2.0 the regulation term lambda/alpha is 9.598287203718597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4031947131682138 the lambda is 2.0 the regulation term lambda/alpha is 4.960382501755659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2793677851877521 the lambda is 2.0 the regulation term lambda/alpha is 7.159021569562427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2297614286555503 the lambda is 2.0 the regulation term lambda/alpha is 8.704681250038382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.28840280918012784 the lambda is 2.0 the regulation term lambda/alpha is 6.934745211690568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.24839217995598498 the lambda is 2.0 the regulation term lambda/alpha is 8.051783274152992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.32633224386779264 the lambda is 2.0 the regulation term lambda/alpha is 6.128723218690772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2727620778355061 the lambda is 2.0 the regulation term lambda/alpha is 7.332397582064669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3932238837399794 the lambda is 2.0 the regulation term lambda/alpha is 5.086161046419313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.25912548861194445 the lambda is 2.0 the regulation term lambda/alpha is 7.718268128362767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3647008552083895 the lambda is 2.0 the regulation term lambda/alpha is 5.483946559042761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2078833289181719 the lambda is 2.0 the regulation term lambda/alpha is 9.62078109104771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3863052124901954 the lambda is 2.0 the regulation term lambda/alpha is 5.177253465226698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.18579062557261128 the lambda is 2.0 the regulation term lambda/alpha is 10.764805779817742 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.15385032167968513 the lambda is 2.0 the regulation term lambda/alpha is 12.99964782760728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.20291772560905208 the lambda is 2.0 the regulation term lambda/alpha is 9.856211397979422 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3205846766649003 the lambda is 2.0 the regulation term lambda/alpha is 6.238601360509047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4444718350241454 the lambda is 2.0 the regulation term lambda/alpha is 4.4997226874709675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20854844197048256 the lambda is 2.0 the regulation term lambda/alpha is 9.59009801800905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18394405926927337 the lambda is 2.0 the regulation term lambda/alpha is 10.872870849676234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22867078649000033 the lambda is 2.0 the regulation term lambda/alpha is 8.746198107327798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39101047200772493 the lambda is 2.0 the regulation term lambda/alpha is 5.114952522193542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.21595632950997096 the lambda is 2.0 the regulation term lambda/alpha is 9.261131658137659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.31525838175244025 the lambda is 2.0 the regulation term lambda/alpha is 6.344002620588593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.41309283432768573 the lambda is 2.0 the regulation term lambda/alpha is 4.841526731527618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2566383917756315 the lambda is 2.0 the regulation term lambda/alpha is 7.793066291299543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18694407146950445 the lambda is 2.0 the regulation term lambda/alpha is 10.698386871959473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 11 iterations the alpha is 0.33161475033995996 the lambda is 2.0 the regulation term lambda/alpha is 6.03109481092041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.2293983107715681 the lambda is 2.0 the regulation term lambda/alpha is 8.71846001512877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3090614541277547 the lambda is 2.0 the regulation term lambda/alpha is 6.47120491180137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.261656504045305 the lambda is 2.0 the regulation term lambda/alpha is 7.643608964727688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3068619020727543 the lambda is 2.0 the regulation term lambda/alpha is 6.5175897903605415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.29379784369445344 the lambda is 2.0 the regulation term lambda/alpha is 6.807401902105102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.24405685700071772 the lambda is 2.0 the regulation term lambda/alpha is 8.194811752386528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25899470090660603 the lambda is 2.0 the regulation term lambda/alpha is 7.722165716128701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19439041306791194 the lambda is 2.0 the regulation term lambda/alpha is 10.28857322969566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2733823156002542 the lambda is 2.0 the regulation term lambda/alpha is 7.3157621611649715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.31263904726547215 the lambda is 2.0 the regulation term lambda/alpha is 6.397153578521924 70 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3031890639540542 the lambda is 2.0 the regulation term lambda/alpha is 6.596543997718478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.584304237436192 the lambda is 2.0 the regulation term lambda/alpha is 3.4228743723913295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5132316756884336 the lambda is 2.0 the regulation term lambda/alpha is 3.8968756114229692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25190997449000047 the lambda is 2.0 the regulation term lambda/alpha is 7.939344220287672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3255383731379964 the lambda is 2.0 the regulation term lambda/alpha is 6.143668965109056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.36246841827347254 the lambda is 2.0 the regulation term lambda/alpha is 5.517722094317896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.25775202014657544 the lambda is 2.0 the regulation term lambda/alpha is 7.759396022823267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18087354698116212 the lambda is 2.0 the regulation term lambda/alpha is 11.057448882828062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.468134217756473 the lambda is 2.0 the regulation term lambda/alpha is 4.272279026269374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.25480926875638743 the lambda is 2.0 the regulation term lambda/alpha is 7.849008043393104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3131207081232934 the lambda is 2.0 the regulation term lambda/alpha is 6.387313097198562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24359326256073674 the lambda is 2.0 the regulation term lambda/alpha is 8.210407705760444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.34133740133512597 the lambda is 2.0 the regulation term lambda/alpha is 5.859305168953328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2701725788586101 the lambda is 2.0 the regulation term lambda/alpha is 7.402675758025996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20266891361602926 the lambda is 2.0 the regulation term lambda/alpha is 9.868311643438041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24963739441997237 the lambda is 2.0 the regulation term lambda/alpha is 8.01162023280591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2829212191113239 the lambda is 2.0 the regulation term lambda/alpha is 7.069105690559885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.42458851989529917 the lambda is 2.0 the regulation term lambda/alpha is 4.710442949548394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3608824031466066 the lambda is 2.0 the regulation term lambda/alpha is 5.5419715191475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17732798513724685 the lambda is 2.0 the regulation term lambda/alpha is 11.278535638083614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2720200343606866 the lambda is 2.0 the regulation term lambda/alpha is 7.352399630051101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.26465075860234105 the lambda is 2.0 the regulation term lambda/alpha is 7.557129292061316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.374991367629181 the lambda is 2.0 the regulation term lambda/alpha is 5.333456107655648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24941665645831096 the lambda is 2.0 the regulation term lambda/alpha is 8.018710652286739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.38174615495962333 the lambda is 2.0 the regulation term lambda/alpha is 5.239083548101583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2424872829548103 the lambda is 2.0 the regulation term lambda/alpha is 8.24785520968008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2443482967987235 the lambda is 2.0 the regulation term lambda/alpha is 8.185037613122615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24312919748371611 the lambda is 2.0 the regulation term lambda/alpha is 8.226079058785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.4681066875699477 the lambda is 2.0 the regulation term lambda/alpha is 4.272530286594434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.1923531347599762 the lambda is 2.0 the regulation term lambda/alpha is 10.397543052758968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5179014726708913 the lambda is 2.0 the regulation term lambda/alpha is 3.8617383914467682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2701958027442081 the lambda is 2.0 the regulation term lambda/alpha is 7.402039482801965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2287625202570934 the lambda is 2.0 the regulation term lambda/alpha is 8.742690882021723 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3096357346471858 the lambda is 2.0 the regulation term lambda/alpha is 6.459202786393174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.208436831148738 the lambda is 2.0 the regulation term lambda/alpha is 9.595233188767988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2841599931617472 the lambda is 2.0 the regulation term lambda/alpha is 7.038288457663272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.3178268517816484 the lambda is 2.0 the regulation term lambda/alpha is 6.292734514999472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.19357304106616213 the lambda is 2.0 the regulation term lambda/alpha is 10.332017252941807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4548352862356004 the lambda is 2.0 the regulation term lambda/alpha is 4.397196217014743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4955128899912742 the lambda is 2.0 the regulation term lambda/alpha is 4.036221943762592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.321010566654799 the lambda is 2.0 the regulation term lambda/alpha is 6.230324505643811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.162296322055498 the lambda is 2.0 the regulation term lambda/alpha is 12.323138162774203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.20674566434782968 the lambda is 2.0 the regulation term lambda/alpha is 9.673721605282095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2794737181762495 the lambda is 2.0 the regulation term lambda/alpha is 7.156307981485058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2097228242502472 the lambda is 2.0 the regulation term lambda/alpha is 9.536396465906561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.26490957616958677 the lambda is 2.0 the regulation term lambda/alpha is 7.549745950745333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2605622253520382 the lambda is 2.0 the regulation term lambda/alpha is 7.675709697742476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19891157984646363 the lambda is 2.0 the regulation term lambda/alpha is 10.054718792861456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4523740156035873 the lambda is 2.0 the regulation term lambda/alpha is 4.4211204247252525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24534825743560826 the lambda is 2.0 the regulation term lambda/alpha is 8.151678030665861 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3450261020084042 the lambda is 2.0 the regulation term lambda/alpha is 5.7966628853815925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19589591101853462 the lambda is 2.0 the regulation term lambda/alpha is 10.209503555236386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2219349931123653 the lambda is 2.0 the regulation term lambda/alpha is 9.011647834135843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.13323257042044706 the lambda is 2.0 the regulation term lambda/alpha is 15.01134440091131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.20252640557322438 the lambda is 2.0 the regulation term lambda/alpha is 9.875255497372121 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3428537381753953 the lambda is 2.0 the regulation term lambda/alpha is 5.833391260785527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3141697335986276 the lambda is 2.0 the regulation term lambda/alpha is 6.365985599857722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.17940970161648073 the lambda is 2.0 the regulation term lambda/alpha is 11.147669172737078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3013271133031741 the lambda is 2.0 the regulation term lambda/alpha is 6.63730514680815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23098271354354064 the lambda is 2.0 the regulation term lambda/alpha is 8.658656612513111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28073805208562636 the lambda is 2.0 the regulation term lambda/alpha is 7.124078781418598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4564076276185055 the lambda is 2.0 the regulation term lambda/alpha is 4.382047711244053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4567103430781666 the lambda is 2.0 the regulation term lambda/alpha is 4.379143214756792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.33829673274982114 the lambda is 2.0 the regulation term lambda/alpha is 5.911969600602232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2706870845653726 the lambda is 2.0 the regulation term lambda/alpha is 7.388605197810935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.27273126084347393 the lambda is 2.0 the regulation term lambda/alpha is 7.333226098888022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.31878659637047485 the lambda is 2.0 the regulation term lambda/alpha is 6.273789496706815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2544261526514324 the lambda is 2.0 the regulation term lambda/alpha is 7.8608271168570845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4388594554889319 the lambda is 2.0 the regulation term lambda/alpha is 4.557267651375556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4103789261248387 the lambda is 2.0 the regulation term lambda/alpha is 4.873544601536368 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18716118431553508 the lambda is 2.0 the regulation term lambda/alpha is 10.685976407523686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.31495616217883904 the lambda is 2.0 the regulation term lambda/alpha is 6.350090076549625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.30287067411701923 the lambda is 2.0 the regulation term lambda/alpha is 6.603478550146014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1890629502975161 the lambda is 2.0 the regulation term lambda/alpha is 10.578487201499446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.27418537395349274 the lambda is 2.0 the regulation term lambda/alpha is 7.294335110446991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.5058126841966252 the lambda is 2.0 the regulation term lambda/alpha is 3.9540329107732255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32143704641816534 the lambda is 2.0 the regulation term lambda/alpha is 6.222058167489975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4669800989503275 the lambda is 2.0 the regulation term lambda/alpha is 4.28283775795923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.37066934261673634 the lambda is 2.0 the regulation term lambda/alpha is 5.3956445005163385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2868954867321446 the lambda is 2.0 the regulation term lambda/alpha is 6.971179723950374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2559026963056851 the lambda is 2.0 the regulation term lambda/alpha is 7.815470602196888 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 10 iterations the alpha is 0.34049503183232716 the lambda is 2.0 the regulation term lambda/alpha is 5.873800828274279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.44463792873988894 the lambda is 2.0 the regulation term lambda/alpha is 4.498041823980317 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3810397345700002 the lambda is 2.0 the regulation term lambda/alpha is 5.24879643393879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.26209276809578047 the lambda is 2.0 the regulation term lambda/alpha is 7.630885867362468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3564513242182563 the lambda is 2.0 the regulation term lambda/alpha is 5.610864272664038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.32948014439479695 the lambda is 2.0 the regulation term lambda/alpha is 6.070168518572445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.26588722266114334 the lambda is 2.0 the regulation term lambda/alpha is 7.52198612623396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.48251206338917524 the lambda is 2.0 the regulation term lambda/alpha is 4.144974088216482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4458421403276497 the lambda is 2.0 the regulation term lambda/alpha is 4.485892694060276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16979888807961543 the lambda is 2.0 the regulation term lambda/alpha is 11.778640146702482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22161191244668818 the lambda is 2.0 the regulation term lambda/alpha is 9.024785616978635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24629808832553932 the lambda is 2.0 the regulation term lambda/alpha is 8.12024166974671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2827170434811187 the lambda is 2.0 the regulation term lambda/alpha is 7.07421093321376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.2984831622916993 the lambda is 2.0 the regulation term lambda/alpha is 6.700545466767253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2828311888364534 the lambda is 2.0 the regulation term lambda/alpha is 7.071355914557556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.37078930309172886 the lambda is 2.0 the regulation term lambda/alpha is 5.3938988620316906 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.25633147403721546 the lambda is 2.0 the regulation term lambda/alpha is 7.802397296360221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3359216189574466 the lambda is 2.0 the regulation term lambda/alpha is 5.9537698294236705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22404764605508515 the lambda is 2.0 the regulation term lambda/alpha is 8.926672675276727 80 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30087672693844475 the lambda is 2.0 the regulation term lambda/alpha is 6.647240616949321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24408699927694097 the lambda is 2.0 the regulation term lambda/alpha is 8.193799776000365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25095874066257756 the lambda is 2.0 the regulation term lambda/alpha is 7.969437504825015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3008649048598258 the lambda is 2.0 the regulation term lambda/alpha is 6.647501811259137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30409370850790296 the lambda is 2.0 the regulation term lambda/alpha is 6.576920021836042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2920268495775382 the lambda is 2.0 the regulation term lambda/alpha is 6.8486853277132145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3647152878324513 the lambda is 2.0 the regulation term lambda/alpha is 5.483729546645141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3322200151778495 the lambda is 2.0 the regulation term lambda/alpha is 6.020106882871964 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3758437258257724 the lambda is 2.0 the regulation term lambda/alpha is 5.321360614989028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34368312793267536 the lambda is 2.0 the regulation term lambda/alpha is 5.819313889600607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2923688518784399 the lambda is 2.0 the regulation term lambda/alpha is 6.840673988183778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24449247372851063 the lambda is 2.0 the regulation term lambda/alpha is 8.180210905881873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.44174960833276744 the lambda is 2.0 the regulation term lambda/alpha is 4.527451665544911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24135374767648707 the lambda is 2.0 the regulation term lambda/alpha is 8.286591856368519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.29322489829326454 the lambda is 2.0 the regulation term lambda/alpha is 6.820703192809124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3221001420775333 the lambda is 2.0 the regulation term lambda/alpha is 6.209249046275107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.4277108750901983 the lambda is 2.0 the regulation term lambda/alpha is 4.67605599127735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4383126444431716 the lambda is 2.0 the regulation term lambda/alpha is 4.562953009354275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30510284973400764 the lambda is 2.0 the regulation term lambda/alpha is 6.555166566761419 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2710284573392119 the lambda is 2.0 the regulation term lambda/alpha is 7.379298910655917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21636538967880614 the lambda is 2.0 the regulation term lambda/alpha is 9.243622572764501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2337577642402008 the lambda is 2.0 the regulation term lambda/alpha is 8.555865540983161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3062858672667807 the lambda is 2.0 the regulation term lambda/alpha is 6.529847484794206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2527726727719296 the lambda is 2.0 the regulation term lambda/alpha is 7.912247704895495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30400189169167807 the lambda is 2.0 the regulation term lambda/alpha is 6.578906430057419 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3816845022543021 the lambda is 2.0 the regulation term lambda/alpha is 5.239929806391444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4068147463972855 the lambda is 2.0 the regulation term lambda/alpha is 4.916242633070258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2958692058813825 the lambda is 2.0 the regulation term lambda/alpha is 6.759743698375369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.29059072161999633 the lambda is 2.0 the regulation term lambda/alpha is 6.882532204918048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.18579131356704154 the lambda is 2.0 the regulation term lambda/alpha is 10.764765917209115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5739508108682232 the lambda is 2.0 the regulation term lambda/alpha is 3.4846191731562723 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2691262244448552 the lambda is 2.0 the regulation term lambda/alpha is 7.4314571317809515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.19940269997908355 the lambda is 2.0 the regulation term lambda/alpha is 10.029954460043877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23508575715196237 the lambda is 2.0 the regulation term lambda/alpha is 8.507533694213448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.19935766770174623 the lambda is 2.0 the regulation term lambda/alpha is 10.032220094950887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.24251432078516433 the lambda is 2.0 the regulation term lambda/alpha is 8.246935659406835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.24386693909415758 the lambda is 2.0 the regulation term lambda/alpha is 8.201193681394408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3956603644959144 the lambda is 2.0 the regulation term lambda/alpha is 5.054840412301779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.440898120982021 the lambda is 2.0 the regulation term lambda/alpha is 4.536195335887031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22624870842930545 the lambda is 2.0 the regulation term lambda/alpha is 8.8398294685732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2979155084129681 the lambda is 2.0 the regulation term lambda/alpha is 6.713312813603567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3156248673077484 the lambda is 2.0 the regulation term lambda/alpha is 6.336636327358548 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1714168854149437 the lambda is 2.0 the regulation term lambda/alpha is 11.66746201903424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.3124243565210742 the lambda is 2.0 the regulation term lambda/alpha is 6.401549553531984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3677258798036732 the lambda is 2.0 the regulation term lambda/alpha is 5.438833951713676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24823158545636734 the lambda is 2.0 the regulation term lambda/alpha is 8.056992410224717 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2952134430110506 the lambda is 2.0 the regulation term lambda/alpha is 6.774759237251722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3755015713477963 the lambda is 2.0 the regulation term lambda/alpha is 5.326209402590126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3693883812306273 the lambda is 2.0 the regulation term lambda/alpha is 5.414355463311939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.33939741003362417 the lambda is 2.0 the regulation term lambda/alpha is 5.89279688316378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2651274667847131 the lambda is 2.0 the regulation term lambda/alpha is 7.5435413171432195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28058176101023125 the lambda is 2.0 the regulation term lambda/alpha is 7.128047071908823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5154972064896215 the lambda is 2.0 the regulation term lambda/alpha is 3.879749443492408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.37829491341184 the lambda is 2.0 the regulation term lambda/alpha is 5.286880497445788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.35812929147836237 the lambda is 2.0 the regulation term lambda/alpha is 5.5845753128541205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30178430317820915 the lambda is 2.0 the regulation term lambda/alpha is 6.627249922998691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.23089357562286136 the lambda is 2.0 the regulation term lambda/alpha is 8.66199934149218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2478967615823446 the lambda is 2.0 the regulation term lambda/alpha is 8.067874655698775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39229147694180144 the lambda is 2.0 the regulation term lambda/alpha is 5.0982499431072545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32408347262197057 the lambda is 2.0 the regulation term lambda/alpha is 6.171249597577948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.28729457547815807 the lambda is 2.0 the regulation term lambda/alpha is 6.9614958676866925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.34390790805074534 the lambda is 2.0 the regulation term lambda/alpha is 5.81551035373368 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24674091692848923 the lambda is 2.0 the regulation term lambda/alpha is 8.10566818384501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.43702223904272935 the lambda is 2.0 the regulation term lambda/alpha is 4.576426143394621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2547377587484903 the lambda is 2.0 the regulation term lambda/alpha is 7.851211417678585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3082201093152029 the lambda is 2.0 the regulation term lambda/alpha is 6.488869283848997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21933396014303094 the lambda is 2.0 the regulation term lambda/alpha is 9.118514974588386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.38379303900145584 the lambda is 2.0 the regulation term lambda/alpha is 5.211141935256448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.33356968130615344 the lambda is 2.0 the regulation term lambda/alpha is 5.995748750811621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21188150324553284 the lambda is 2.0 the regulation term lambda/alpha is 9.439238297655256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3585129890071033 the lambda is 2.0 the regulation term lambda/alpha is 5.578598436667447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4423933165958683 the lambda is 2.0 the regulation term lambda/alpha is 4.52086395741603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.16428804428900656 the lambda is 2.0 the regulation term lambda/alpha is 12.173740387838016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.33690136007054755 the lambda is 2.0 the regulation term lambda/alpha is 5.936455701993004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1892979841868082 the lambda is 2.0 the regulation term lambda/alpha is 10.565352867288356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.47711087041860506 the lambda is 2.0 the regulation term lambda/alpha is 4.191897783098613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3184245982663043 the lambda is 2.0 the regulation term lambda/alpha is 6.280921797151373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22189649652847168 the lambda is 2.0 the regulation term lambda/alpha is 9.013211255200591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.18693799232800734 the lambda is 2.0 the regulation term lambda/alpha is 10.698734778806955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.268807682969459 the lambda is 2.0 the regulation term lambda/alpha is 7.440263529324915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3087735580482947 the lambda is 2.0 the regulation term lambda/alpha is 6.477238571339012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.32938998580344914 the lambda is 2.0 the regulation term lambda/alpha is 6.071830007586883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2954960198204532 the lambda is 2.0 the regulation term lambda/alpha is 6.768280673341127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.259705991912908 the lambda is 2.0 the regulation term lambda/alpha is 7.701016003784376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3221918233446775 the lambda is 2.0 the regulation term lambda/alpha is 6.20748217393593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.32199096775593933 the lambda is 2.0 the regulation term lambda/alpha is 6.211354355492193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28360613564760184 the lambda is 2.0 the regulation term lambda/alpha is 7.052033607922798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.32195513747175913 the lambda is 2.0 the regulation term lambda/alpha is 6.212045615129945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.28368481957126396 the lambda is 2.0 the regulation term lambda/alpha is 7.050077628484395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3914220824489872 the lambda is 2.0 the regulation term lambda/alpha is 5.109573755999455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21782701862698278 the lambda is 2.0 the regulation term lambda/alpha is 9.181597455662256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1940995951865836 the lambda is 2.0 the regulation term lambda/alpha is 10.30398851722202 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2806591866864784 the lambda is 2.0 the regulation term lambda/alpha is 7.126080651812693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2600905191216805 the lambda is 2.0 the regulation term lambda/alpha is 7.689630543835094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25035698322215405 the lambda is 2.0 the regulation term lambda/alpha is 7.9885928255706045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.26452452202402144 the lambda is 2.0 the regulation term lambda/alpha is 7.560735710613552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.1918260108257659 the lambda is 2.0 the regulation term lambda/alpha is 10.42611474528647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2760633698640161 the lambda is 2.0 the regulation term lambda/alpha is 7.244713418463176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2412350835687057 the lambda is 2.0 the regulation term lambda/alpha is 8.290668050488534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22528830300932834 the lambda is 2.0 the regulation term lambda/alpha is 8.877513715912661 90 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.41078063850916113 the lambda is 2.0 the regulation term lambda/alpha is 4.868778643654103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.35484477431475897 the lambda is 2.0 the regulation term lambda/alpha is 5.636267305506194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33326440932029394 the lambda is 2.0 the regulation term lambda/alpha is 6.00124088881582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3031005219348423 the lambda is 2.0 the regulation term lambda/alpha is 6.598470986565774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3245892093150745 the lambda is 2.0 the regulation term lambda/alpha is 6.161634282976506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2729868859690579 the lambda is 2.0 the regulation term lambda/alpha is 7.3263592604470125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2611227624252114 the lambda is 2.0 the regulation term lambda/alpha is 7.6592326973900775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2695824488654189 the lambda is 2.0 the regulation term lambda/alpha is 7.4188806000439635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2103345134216709 the lambda is 2.0 the regulation term lambda/alpha is 9.508662974347313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17058230550101022 the lambda is 2.0 the regulation term lambda/alpha is 11.72454548627352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23531155699195344 the lambda is 2.0 the regulation term lambda/alpha is 8.499370050355795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3365794049370233 the lambda is 2.0 the regulation term lambda/alpha is 5.942134220524324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26104781162773116 the lambda is 2.0 the regulation term lambda/alpha is 7.66143177960102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.256670622001089 the lambda is 2.0 the regulation term lambda/alpha is 7.792087713067195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21840642373981078 the lambda is 2.0 the regulation term lambda/alpha is 9.157239818104504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23494115826244633 the lambda is 2.0 the regulation term lambda/alpha is 8.51276981347753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4211191243067906 the lambda is 2.0 the regulation term lambda/alpha is 4.749249997354608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42013831754466296 the lambda is 2.0 the regulation term lambda/alpha is 4.760337052064739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3178326311445253 the lambda is 2.0 the regulation term lambda/alpha is 6.292620090007552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34935488743290255 the lambda is 2.0 the regulation term lambda/alpha is 5.724837613397128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3189749236906466 the lambda is 2.0 the regulation term lambda/alpha is 6.270085362383132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.303774732213569 the lambda is 2.0 the regulation term lambda/alpha is 6.583826065539576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2896382783680013 the lambda is 2.0 the regulation term lambda/alpha is 6.905164646293368 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.32683907276276747 the lambda is 2.0 the regulation term lambda/alpha is 6.119219416130451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24490647350842915 the lambda is 2.0 the regulation term lambda/alpha is 8.166382747457936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23682687760925367 the lambda is 2.0 the regulation term lambda/alpha is 8.44498741101442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2445157293900588 the lambda is 2.0 the regulation term lambda/alpha is 8.179432893699612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2808899931641041 the lambda is 2.0 the regulation term lambda/alpha is 7.120225172391748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25374542158417585 the lambda is 2.0 the regulation term lambda/alpha is 7.881915612560257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.27698851015677894 the lambda is 2.0 the regulation term lambda/alpha is 7.220516110462398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38856257297318203 the lambda is 2.0 the regulation term lambda/alpha is 5.1471761284070885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33138934668359404 the lambda is 2.0 the regulation term lambda/alpha is 6.035197027349139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31955552915448926 the lambda is 2.0 the regulation term lambda/alpha is 6.258693145732112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30376761302300304 the lambda is 2.0 the regulation term lambda/alpha is 6.583980366098306 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2722211218776793 the lambda is 2.0 the regulation term lambda/alpha is 7.3469684725591815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.188045250817447 the lambda is 2.0 the regulation term lambda/alpha is 10.635737894500648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.26871150207603905 the lambda is 2.0 the regulation term lambda/alpha is 7.442926650136647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28230087079447463 the lambda is 2.0 the regulation term lambda/alpha is 7.084639853824869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.31552245928477785 the lambda is 2.0 the regulation term lambda/alpha is 6.338692987287097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.253855175631852 the lambda is 2.0 the regulation term lambda/alpha is 7.8785078737195295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3872516661290526 the lambda is 2.0 the regulation term lambda/alpha is 5.164600116487285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30613538321700345 the lambda is 2.0 the regulation term lambda/alpha is 6.533057299627152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39265682305105004 the lambda is 2.0 the regulation term lambda/alpha is 5.0935062950376295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28163081868403955 the lambda is 2.0 the regulation term lambda/alpha is 7.1014955300179405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3148637473130784 the lambda is 2.0 the regulation term lambda/alpha is 6.351953875500758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29142347087126175 the lambda is 2.0 the regulation term lambda/alpha is 6.862865211304525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3565239733699849 the lambda is 2.0 the regulation term lambda/alpha is 5.609720942733037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3328440092034092 the lambda is 2.0 the regulation term lambda/alpha is 6.008820783004541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28768965066640023 the lambda is 2.0 the regulation term lambda/alpha is 6.951935863411243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30637080290218144 the lambda is 2.0 the regulation term lambda/alpha is 6.528037205420528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.45738738584665867 the lambda is 2.0 the regulation term lambda/alpha is 4.372661035017065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19473436268683222 the lambda is 2.0 the regulation term lambda/alpha is 10.270401034543445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24438393061425334 the lambda is 2.0 the regulation term lambda/alpha is 8.183844146270363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23029766279822958 the lambda is 2.0 the regulation term lambda/alpha is 8.684412927595613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.29762763500511213 the lambda is 2.0 the regulation term lambda/alpha is 6.7198061092870205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21147611952075718 the lambda is 2.0 the regulation term lambda/alpha is 9.457332603474844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25584806251827463 the lambda is 2.0 the regulation term lambda/alpha is 7.8171395175491885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3441840297962751 the lambda is 2.0 the regulation term lambda/alpha is 5.8108448587338986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2140817825530949 the lambda is 2.0 the regulation term lambda/alpha is 9.342224154472254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3002921999896626 the lambda is 2.0 the regulation term lambda/alpha is 6.660179651915198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21307679522849005 the lambda is 2.0 the regulation term lambda/alpha is 9.386287220320387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22759792972903964 the lambda is 2.0 the regulation term lambda/alpha is 8.787426152694113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3000500576569386 the lambda is 2.0 the regulation term lambda/alpha is 6.6655544598718075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.3116183930032096 the lambda is 2.0 the regulation term lambda/alpha is 6.418106392004276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5177159666185372 the lambda is 2.0 the regulation term lambda/alpha is 3.863122115130046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22204596515330827 the lambda is 2.0 the regulation term lambda/alpha is 9.007144077664867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.36035348079173907 the lambda is 2.0 the regulation term lambda/alpha is 5.550105955979014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.24446683206054548 the lambda is 2.0 the regulation term lambda/alpha is 8.18106891287679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5605275731783644 the lambda is 2.0 the regulation term lambda/alpha is 3.5680671133792443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2864376104177315 the lambda is 2.0 the regulation term lambda/alpha is 6.982323295754575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3918254961455907 the lambda is 2.0 the regulation term lambda/alpha is 5.1043130671028605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4072177344901054 the lambda is 2.0 the regulation term lambda/alpha is 4.91137745389278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28154125343384695 the lambda is 2.0 the regulation term lambda/alpha is 7.103754691743372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3953894695779971 the lambda is 2.0 the regulation term lambda/alpha is 5.058303657238567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21920512282813157 the lambda is 2.0 the regulation term lambda/alpha is 9.123874361130264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.22856417317853356 the lambda is 2.0 the regulation term lambda/alpha is 8.750277754325836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2707440224621708 the lambda is 2.0 the regulation term lambda/alpha is 7.387051362433851 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3420472303386221 the lambda is 2.0 the regulation term lambda/alpha is 5.847145723179887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2657837271221194 the lambda is 2.0 the regulation term lambda/alpha is 7.524915169396589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3589360113471541 the lambda is 2.0 the regulation term lambda/alpha is 5.572023805841117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2817578090347281 the lambda is 2.0 the regulation term lambda/alpha is 7.098294832898455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.37785119100007 the lambda is 2.0 the regulation term lambda/alpha is 5.293089045733958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22620119275603184 the lambda is 2.0 the regulation term lambda/alpha is 8.841686357317709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3762330844187381 the lambda is 2.0 the regulation term lambda/alpha is 5.315853609976654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2335806749379614 the lambda is 2.0 the regulation term lambda/alpha is 8.562352174601758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 9 iterations the alpha is 0.22934849296192344 the lambda is 2.0 the regulation term lambda/alpha is 8.720353790735572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29396439673781305 the lambda is 2.0 the regulation term lambda/alpha is 6.803544994545039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2761206437531447 the lambda is 2.0 the regulation term lambda/alpha is 7.243210695206204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29990466113317144 the lambda is 2.0 the regulation term lambda/alpha is 6.6687859816620465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24800028841043747 the lambda is 2.0 the regulation term lambda/alpha is 8.064506750451935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2812921890089763 the lambda is 2.0 the regulation term lambda/alpha is 7.11004456627901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21056614964280546 the lambda is 2.0 the regulation term lambda/alpha is 9.49820283741098 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30107482506871497 the lambda is 2.0 the regulation term lambda/alpha is 6.642866933638625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2918069281620014 the lambda is 2.0 the regulation term lambda/alpha is 6.85384686579363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2307040576937134 the lambda is 2.0 the regulation term lambda/alpha is 8.669114969166401 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4363685365264312 the lambda is 2.0 the regulation term lambda/alpha is 4.583281865187497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.17606021942113445 the lambda is 2.0 the regulation term lambda/alpha is 11.359749559416475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.1974431806836293 the lambda is 2.0 the regulation term lambda/alpha is 10.129496461084042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2641817416142158 the lambda is 2.0 the regulation term lambda/alpha is 7.5705458968492865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22482496892117979 the lambda is 2.0 the regulation term lambda/alpha is 8.895809080267991 100 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24151529916685466 the lambda is 2.0 the regulation term lambda/alpha is 8.281048889653439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2672613242319675 the lambda is 2.0 the regulation term lambda/alpha is 7.483312468601385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23372570350529906 the lambda is 2.0 the regulation term lambda/alpha is 8.557039170296713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4269906319087078 the lambda is 2.0 the regulation term lambda/alpha is 4.683943511968215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.45043416499108324 the lambda is 2.0 the regulation term lambda/alpha is 4.440160528319587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.23345863910683445 the lambda is 2.0 the regulation term lambda/alpha is 8.566827972833199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33012859623122065 the lambda is 2.0 the regulation term lambda/alpha is 6.058245249978916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23553801938618243 the lambda is 2.0 the regulation term lambda/alpha is 8.491198173492528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34819884745095714 the lambda is 2.0 the regulation term lambda/alpha is 5.743844399949356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4647174520657296 the lambda is 2.0 the regulation term lambda/alpha is 4.303690320020777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26879632352416366 the lambda is 2.0 the regulation term lambda/alpha is 7.4405779579801745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3668292623716112 the lambda is 2.0 the regulation term lambda/alpha is 5.452127747578459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2987739405480333 the lambda is 2.0 the regulation term lambda/alpha is 6.6940242389662625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.31190808455030067 the lambda is 2.0 the regulation term lambda/alpha is 6.412145433432857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39603545269709256 the lambda is 2.0 the regulation term lambda/alpha is 5.050052934351053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3333546170411544 the lambda is 2.0 the regulation term lambda/alpha is 5.999616917719456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38855974567350693 the lambda is 2.0 the regulation term lambda/alpha is 5.147213581101449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3236022374497469 the lambda is 2.0 the regulation term lambda/alpha is 6.18042698271079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22790540573951526 the lambda is 2.0 the regulation term lambda/alpha is 8.775570695703033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29262952403865194 the lambda is 2.0 the regulation term lambda/alpha is 6.834580367686447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.45074325478100313 the lambda is 2.0 the regulation term lambda/alpha is 4.437115761103767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19195903557011937 the lambda is 2.0 the regulation term lambda/alpha is 10.418889603503109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26604774886641835 the lambda is 2.0 the regulation term lambda/alpha is 7.51744755789756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32629118201964863 the lambda is 2.0 the regulation term lambda/alpha is 6.129494482874391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32763181326525287 the lambda is 2.0 the regulation term lambda/alpha is 6.104413304884977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.26404885864973665 the lambda is 2.0 the regulation term lambda/alpha is 7.5743557848626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3749769754126929 the lambda is 2.0 the regulation term lambda/alpha is 5.333660814237557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3677526969341545 the lambda is 2.0 the regulation term lambda/alpha is 5.438437343011781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2489460692833035 the lambda is 2.0 the regulation term lambda/alpha is 8.033868563411527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3165657028582994 the lambda is 2.0 the regulation term lambda/alpha is 6.3178037985221565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.279379934688487 the lambda is 2.0 the regulation term lambda/alpha is 7.158710242487641 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3248103579932841 the lambda is 2.0 the regulation term lambda/alpha is 6.157439104947979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2306305973012133 the lambda is 2.0 the regulation term lambda/alpha is 8.67187625320987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3323469818704412 the lambda is 2.0 the regulation term lambda/alpha is 6.017807018267613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19371749028522464 the lambda is 2.0 the regulation term lambda/alpha is 10.324312983072677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28128494232246803 the lambda is 2.0 the regulation term lambda/alpha is 7.110227740904733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4491350081222253 the lambda is 2.0 the regulation term lambda/alpha is 4.453004027367491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.253995062750961 the lambda is 2.0 the regulation term lambda/alpha is 7.874168806032954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.234816642737737 the lambda is 2.0 the regulation term lambda/alpha is 8.51728385467877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2061571499665439 the lambda is 2.0 the regulation term lambda/alpha is 9.701337064101676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3149488074535725 the lambda is 2.0 the regulation term lambda/alpha is 6.350238364673998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33054014368111606 the lambda is 2.0 the regulation term lambda/alpha is 6.050702276966007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3827390550472377 the lambda is 2.0 the regulation term lambda/alpha is 5.225492339038042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19538274676918282 the lambda is 2.0 the regulation term lambda/alpha is 10.236318370335525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2202846271517103 the lambda is 2.0 the regulation term lambda/alpha is 9.079162835192296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.40179841073408284 the lambda is 2.0 the regulation term lambda/alpha is 4.977620484725199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2679398292839022 the lambda is 2.0 the regulation term lambda/alpha is 7.464362447886951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38578860933725556 the lambda is 2.0 the regulation term lambda/alpha is 5.18418623980576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3775109489535845 the lambda is 2.0 the regulation term lambda/alpha is 5.297859586705399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.3969289144831407 the lambda is 2.0 the regulation term lambda/alpha is 5.038685585816522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.29327741044725836 the lambda is 2.0 the regulation term lambda/alpha is 6.819481926514318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28445581351144433 the lambda is 2.0 the regulation term lambda/alpha is 7.030968976556126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22952149875319947 the lambda is 2.0 the regulation term lambda/alpha is 8.71378067355061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39170675285105816 the lambda is 2.0 the regulation term lambda/alpha is 5.105860405629709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3063677910278855 the lambda is 2.0 the regulation term lambda/alpha is 6.528101381969231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23377205015742664 the lambda is 2.0 the regulation term lambda/alpha is 8.55534268811503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3126623854590934 the lambda is 2.0 the regulation term lambda/alpha is 6.396676073021474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3353326645652814 the lambda is 2.0 the regulation term lambda/alpha is 5.964226606414142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.368002629681607 the lambda is 2.0 the regulation term lambda/alpha is 5.4347437727017995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21155878583592136 the lambda is 2.0 the regulation term lambda/alpha is 9.45363716329484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2662134723106408 the lambda is 2.0 the regulation term lambda/alpha is 7.512767789851852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2956971013884322 the lambda is 2.0 the regulation term lambda/alpha is 6.763678069920509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26065756395934975 the lambda is 2.0 the regulation term lambda/alpha is 7.67290221553634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.25523287977684056 the lambda is 2.0 the regulation term lambda/alpha is 7.835981013687081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36152885289857944 the lambda is 2.0 the regulation term lambda/alpha is 5.532061919719212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19823851535078788 the lambda is 2.0 the regulation term lambda/alpha is 10.088856832190007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23914297506996776 the lambda is 2.0 the regulation term lambda/alpha is 8.363197787494471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4045101564574391 the lambda is 2.0 the regulation term lambda/alpha is 4.9442516289709815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35079923239811667 the lambda is 2.0 the regulation term lambda/alpha is 5.701266751149075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.35488795437953774 the lambda is 2.0 the regulation term lambda/alpha is 5.635581527405363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40093333233036493 the lambda is 2.0 the regulation term lambda/alpha is 4.988360504663705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3797833678765018 the lambda is 2.0 the regulation term lambda/alpha is 5.26616005114358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.39979467453318673 the lambda is 2.0 the regulation term lambda/alpha is 5.002567886466385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.17861943586330742 the lambda is 2.0 the regulation term lambda/alpha is 11.196989791920211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2843580796279138 the lambda is 2.0 the regulation term lambda/alpha is 7.033385520879257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32391673298841506 the lambda is 2.0 the regulation term lambda/alpha is 6.17442631489967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34030540906381307 the lambda is 2.0 the regulation term lambda/alpha is 5.877073789400056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30761728805425237 the lambda is 2.0 the regulation term lambda/alpha is 6.501585176341824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4735182779583513 the lambda is 2.0 the regulation term lambda/alpha is 4.223701793779356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35347526171096133 the lambda is 2.0 the regulation term lambda/alpha is 5.658104587911476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22543739587896663 the lambda is 2.0 the regulation term lambda/alpha is 8.871642578207233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.40902497449996816 the lambda is 2.0 the regulation term lambda/alpha is 4.889676974969546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2771684767424025 the lambda is 2.0 the regulation term lambda/alpha is 7.215827800860554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3468822956844951 the lambda is 2.0 the regulation term lambda/alpha is 5.765644499248498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2859451273060228 the lambda is 2.0 the regulation term lambda/alpha is 6.99434894674589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2841525258593578 the lambda is 2.0 the regulation term lambda/alpha is 7.038473418286299 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20955639070564402 the lambda is 2.0 the regulation term lambda/alpha is 9.54397044759816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2964858011204145 the lambda is 2.0 the regulation term lambda/alpha is 6.745685602622574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23961697872246365 the lambda is 2.0 the regulation term lambda/alpha is 8.346653941899918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2577578999306225 the lambda is 2.0 the regulation term lambda/alpha is 7.759219021175745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28700145628404977 the lambda is 2.0 the regulation term lambda/alpha is 6.9686057551588485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5272012102365 the lambda is 2.0 the regulation term lambda/alpha is 3.7936179985300287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.19396262124311917 the lambda is 2.0 the regulation term lambda/alpha is 10.311265063247077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2549214725513363 the lambda is 2.0 the regulation term lambda/alpha is 7.845553299152696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.41432464925138374 the lambda is 2.0 the regulation term lambda/alpha is 4.8271325483860785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36301097175328567 the lambda is 2.0 the regulation term lambda/alpha is 5.509475348197648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25296540431238584 the lambda is 2.0 the regulation term lambda/alpha is 7.9062194509815615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3284228960349533 the lambda is 2.0 the regulation term lambda/alpha is 6.089709408649586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.2381547882816088 the lambda is 2.0 the regulation term lambda/alpha is 8.39789959475884 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34633560026020677 the lambda is 2.0 the regulation term lambda/alpha is 5.774745646989141 110 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.5045722079206019 the lambda is 2.0 the regulation term lambda/alpha is 3.9637537870788053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4502017614405073 the lambda is 2.0 the regulation term lambda/alpha is 4.44245263190578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3304074810939674 the lambda is 2.0 the regulation term lambda/alpha is 6.053131706879249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29083915713809044 the lambda is 2.0 the regulation term lambda/alpha is 6.876653129105308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3858389971556124 the lambda is 2.0 the regulation term lambda/alpha is 5.183509222094992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2649333251610509 the lambda is 2.0 the regulation term lambda/alpha is 7.549069181025889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2812954834058789 the lambda is 2.0 the regulation term lambda/alpha is 7.109961296869516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2725452200400218 the lambda is 2.0 the regulation term lambda/alpha is 7.338231797667597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29095751936155706 the lambda is 2.0 the regulation term lambda/alpha is 6.873855689959705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23567538184097356 the lambda is 2.0 the regulation term lambda/alpha is 8.486249112559147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30173869483384425 the lambda is 2.0 the regulation term lambda/alpha is 6.6282516436989365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20048407743362995 the lambda is 2.0 the regulation term lambda/alpha is 9.975854569608392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32897519026283073 the lambda is 2.0 the regulation term lambda/alpha is 6.079485806823683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2928200891086779 the lambda is 2.0 the regulation term lambda/alpha is 6.830132475158545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2061708582010863 the lambda is 2.0 the regulation term lambda/alpha is 9.700692025297405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3730465638223132 the lambda is 2.0 the regulation term lambda/alpha is 5.361261016607635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29165473968509364 the lambda is 2.0 the regulation term lambda/alpha is 6.857423274380681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4481074702889376 the lambda is 2.0 the regulation term lambda/alpha is 4.46321503792474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3085602968820907 the lambda is 2.0 the regulation term lambda/alpha is 6.481715308837205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3417542231708375 the lambda is 2.0 the regulation term lambda/alpha is 5.852158845159996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.30365948765080264 the lambda is 2.0 the regulation term lambda/alpha is 6.586324753007314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26258301333340656 the lambda is 2.0 the regulation term lambda/alpha is 7.61663892348041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3458021040140834 the lambda is 2.0 the regulation term lambda/alpha is 5.783654803669287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2008088903998801 the lambda is 2.0 the regulation term lambda/alpha is 9.959718397015724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25843578899765846 the lambda is 2.0 the regulation term lambda/alpha is 7.738866229623177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3291938943604334 the lambda is 2.0 the regulation term lambda/alpha is 6.075446824084186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2562470684269918 the lambda is 2.0 the regulation term lambda/alpha is 7.8049673398305695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.26256594888347995 the lambda is 2.0 the regulation term lambda/alpha is 7.617133937224849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27601554162872893 the lambda is 2.0 the regulation term lambda/alpha is 7.245968789287303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21587071948292333 the lambda is 2.0 the regulation term lambda/alpha is 9.264804438464903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3030596119094783 the lambda is 2.0 the regulation term lambda/alpha is 6.599361714346106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29221075129951846 the lambda is 2.0 the regulation term lambda/alpha is 6.844375133719783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2673172608145888 the lambda is 2.0 the regulation term lambda/alpha is 7.481746572987667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.20971546171585514 the lambda is 2.0 the regulation term lambda/alpha is 9.536731262618172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2673584234510324 the lambda is 2.0 the regulation term lambda/alpha is 7.480594679547498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2534152456207315 the lambda is 2.0 the regulation term lambda/alpha is 7.8921849989769655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33273022261214596 the lambda is 2.0 the regulation term lambda/alpha is 6.010875670682138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19508488023546972 the lambda is 2.0 the regulation term lambda/alpha is 10.251947755182139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32415623087362694 the lambda is 2.0 the regulation term lambda/alpha is 6.169864434226176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24070523008961833 the lambda is 2.0 the regulation term lambda/alpha is 8.308917921124392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2635317250478181 the lambda is 2.0 the regulation term lambda/alpha is 7.589219095488781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4253840407320221 the lambda is 2.0 the regulation term lambda/alpha is 4.701633837880472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36834031588185995 the lambda is 2.0 the regulation term lambda/alpha is 5.429761320619251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26589525003661835 the lambda is 2.0 the regulation term lambda/alpha is 7.521759037532884 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4642294195544221 the lambda is 2.0 the regulation term lambda/alpha is 4.308214679542812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.551710555625057 the lambda is 2.0 the regulation term lambda/alpha is 3.6250892421917005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2511651903388683 the lambda is 2.0 the regulation term lambda/alpha is 7.962886884530575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3350658620795909 the lambda is 2.0 the regulation term lambda/alpha is 5.96897573386609 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3138745735954794 the lambda is 2.0 the regulation term lambda/alpha is 6.371972017642927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2825247059874157 the lambda is 2.0 the regulation term lambda/alpha is 7.079026922654632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.21419844089883358 the lambda is 2.0 the regulation term lambda/alpha is 9.33713612296835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31911817284367694 the lambda is 2.0 the regulation term lambda/alpha is 6.267270779905471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.4276538834977593 the lambda is 2.0 the regulation term lambda/alpha is 4.676679149133645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.46267602637242605 the lambda is 2.0 the regulation term lambda/alpha is 4.3226791231887205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3609031055425142 the lambda is 2.0 the regulation term lambda/alpha is 5.541653616400929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2213304141009963 the lambda is 2.0 the regulation term lambda/alpha is 9.036263760331515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30115168473178094 the lambda is 2.0 the regulation term lambda/alpha is 6.641171547093581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35352925574608596 the lambda is 2.0 the regulation term lambda/alpha is 5.6572404334097115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36076154695510515 the lambda is 2.0 the regulation term lambda/alpha is 5.54382809609387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20565786508937736 the lambda is 2.0 the regulation term lambda/alpha is 9.72488943776021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28130962956468025 the lambda is 2.0 the regulation term lambda/alpha is 7.109603759725363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3435508698427921 the lambda is 2.0 the regulation term lambda/alpha is 5.821554173084162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3377887082693111 the lambda is 2.0 the regulation term lambda/alpha is 5.920861032469582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3003995993647647 the lambda is 2.0 the regulation term lambda/alpha is 6.657798493171325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2619654497852752 the lambda is 2.0 the regulation term lambda/alpha is 7.634594568250648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4555287604978362 the lambda is 2.0 the regulation term lambda/alpha is 4.3905021448354855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32135732104099995 the lambda is 2.0 the regulation term lambda/alpha is 6.223601794791016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30799900417894926 the lambda is 2.0 the regulation term lambda/alpha is 6.493527488283657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4011776898397972 the lambda is 2.0 the regulation term lambda/alpha is 4.98532209206016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24503724774965302 the lambda is 2.0 the regulation term lambda/alpha is 8.162024420235646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.255051447503358 the lambda is 2.0 the regulation term lambda/alpha is 7.8415551826016126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.251823105281124 the lambda is 2.0 the regulation term lambda/alpha is 7.942082986258508 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34009548936901945 the lambda is 2.0 the regulation term lambda/alpha is 5.880701339822554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4849445513844386 the lambda is 2.0 the regulation term lambda/alpha is 4.124182845833245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3403083511917172 the lambda is 2.0 the regulation term lambda/alpha is 5.8770229792958375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2632821415563625 the lambda is 2.0 the regulation term lambda/alpha is 7.596413445200754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.28796499786323093 the lambda is 2.0 the regulation term lambda/alpha is 6.94528854145635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36949596775828264 the lambda is 2.0 the regulation term lambda/alpha is 5.4127789597648945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4040606234730518 the lambda is 2.0 the regulation term lambda/alpha is 4.949752299071495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27401261387947173 the lambda is 2.0 the regulation term lambda/alpha is 7.2989340588522245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3528033756096866 the lambda is 2.0 the regulation term lambda/alpha is 5.668880000209068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.19190206073598687 the lambda is 2.0 the regulation term lambda/alpha is 10.421982923630718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2088247671020559 the lambda is 2.0 the regulation term lambda/alpha is 9.577408023745425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22033208771088494 the lambda is 2.0 the regulation term lambda/alpha is 9.077207141178443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.29508552684800615 the lambda is 2.0 the regulation term lambda/alpha is 6.777696017026847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2778436613055618 the lambda is 2.0 the regulation term lambda/alpha is 7.198292703897523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2739389296467101 the lambda is 2.0 the regulation term lambda/alpha is 7.30089732985134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27137128382260184 the lambda is 2.0 the regulation term lambda/alpha is 7.369976556942629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3607028168099111 the lambda is 2.0 the regulation term lambda/alpha is 5.544730750062292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2906919045257237 the lambda is 2.0 the regulation term lambda/alpha is 6.8801365599192925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33744332771516933 the lambda is 2.0 the regulation term lambda/alpha is 5.926921161968178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38131844514352564 the lambda is 2.0 the regulation term lambda/alpha is 5.244960020874977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.18881496180093138 the lambda is 2.0 the regulation term lambda/alpha is 10.592380926404607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32471412064186045 the lambda is 2.0 the regulation term lambda/alpha is 6.159264019829541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.44935903886872675 the lambda is 2.0 the regulation term lambda/alpha is 4.4507839544856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32990011570080724 the lambda is 2.0 the regulation term lambda/alpha is 6.062441038407632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28503941448431586 the lambda is 2.0 the regulation term lambda/alpha is 7.016573492540797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33179429208364875 the lambda is 2.0 the regulation term lambda/alpha is 6.027831242786357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28497145877378205 the lambda is 2.0 the regulation term lambda/alpha is 7.018246699532297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3345078989210898 the lambda is 2.0 the regulation term lambda/alpha is 5.978932056464828 120 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3925495843464757 the lambda is 2.0 the regulation term lambda/alpha is 5.0948977651565714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27180033686533006 the lambda is 2.0 the regulation term lambda/alpha is 7.358342609380015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3681428790548218 the lambda is 2.0 the regulation term lambda/alpha is 5.432673328178572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2152199912099924 the lambda is 2.0 the regulation term lambda/alpha is 9.292817032264345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33133687413882024 the lambda is 2.0 the regulation term lambda/alpha is 6.036152798260721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3444929418515421 the lambda is 2.0 the regulation term lambda/alpha is 5.805634185857695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40072032155201204 the lambda is 2.0 the regulation term lambda/alpha is 4.991012165926323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26970355945758673 the lambda is 2.0 the regulation term lambda/alpha is 7.4155491459671214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23560453231825915 the lambda is 2.0 the regulation term lambda/alpha is 8.488801044363449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23908248342078428 the lambda is 2.0 the regulation term lambda/alpha is 8.365313808791283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2662761730058888 the lambda is 2.0 the regulation term lambda/alpha is 7.510998740228136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27122401419008385 the lambda is 2.0 the regulation term lambda/alpha is 7.3739783181526315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3051814791003911 the lambda is 2.0 the regulation term lambda/alpha is 6.553477641879077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32686814847781115 the lambda is 2.0 the regulation term lambda/alpha is 6.118675096713397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.41306802820185295 the lambda is 2.0 the regulation term lambda/alpha is 4.841817481508554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3445485794213058 the lambda is 2.0 the regulation term lambda/alpha is 5.804696694321435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38105929769080626 the lambda is 2.0 the regulation term lambda/alpha is 5.248526967114739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2650964328003853 the lambda is 2.0 the regulation term lambda/alpha is 7.544424415193764 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2427935823237854 the lambda is 2.0 the regulation term lambda/alpha is 8.237450021775427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.41352636527756526 the lambda is 2.0 the regulation term lambda/alpha is 4.836450993052328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2412323704048799 the lambda is 2.0 the regulation term lambda/alpha is 8.290761296434791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3018463523204421 the lambda is 2.0 the regulation term lambda/alpha is 6.625887590242557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3017087352963233 the lambda is 2.0 the regulation term lambda/alpha is 6.628909826013819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3020832438129046 the lambda is 2.0 the regulation term lambda/alpha is 6.620691617171262 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3323408893082986 the lambda is 2.0 the regulation term lambda/alpha is 6.017917338316696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26124638549560314 the lambda is 2.0 the regulation term lambda/alpha is 7.655608310927849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4885893310237394 the lambda is 2.0 the regulation term lambda/alpha is 4.093417258640109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35558057738588833 the lambda is 2.0 the regulation term lambda/alpha is 5.624604174680584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23204243556094295 the lambda is 2.0 the regulation term lambda/alpha is 8.619113116810592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.42443414767230203 the lambda is 2.0 the regulation term lambda/alpha is 4.71215619894977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31865744978298094 the lambda is 2.0 the regulation term lambda/alpha is 6.276332159697141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2812320450030043 the lambda is 2.0 the regulation term lambda/alpha is 7.111565113351982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3099152339326203 the lambda is 2.0 the regulation term lambda/alpha is 6.4533775078472795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3775877641794409 the lambda is 2.0 the regulation term lambda/alpha is 5.296781807393368 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.36066137204371934 the lambda is 2.0 the regulation term lambda/alpha is 5.545367913028291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5347366271175598 the lambda is 2.0 the regulation term lambda/alpha is 3.7401589840231906 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.41631571531419753 the lambda is 2.0 the regulation term lambda/alpha is 4.804046367768223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33422213941436124 the lambda is 2.0 the regulation term lambda/alpha is 5.984044035815486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26474095190367825 the lambda is 2.0 the regulation term lambda/alpha is 7.554554690608153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30498821210226873 the lambda is 2.0 the regulation term lambda/alpha is 6.557630494024994 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4908767049352443 the lambda is 2.0 the regulation term lambda/alpha is 4.0743428642918325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3259020222767942 the lambda is 2.0 the regulation term lambda/alpha is 6.136813714832876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3826584483205471 the lambda is 2.0 the regulation term lambda/alpha is 5.226593085237807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2581784986011647 the lambda is 2.0 the regulation term lambda/alpha is 7.746578475110001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2926840085727878 the lambda is 2.0 the regulation term lambda/alpha is 6.833308077720339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2337131314596405 the lambda is 2.0 the regulation term lambda/alpha is 8.557499475999174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.233434351512289 the lambda is 2.0 the regulation term lambda/alpha is 8.567719305419843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38238405389974855 the lambda is 2.0 the regulation term lambda/alpha is 5.230343628618859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40066558774225247 the lambda is 2.0 the regulation term lambda/alpha is 4.991693974194252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2370496796104722 the lambda is 2.0 the regulation term lambda/alpha is 8.437050002710256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31868213598961354 the lambda is 2.0 the regulation term lambda/alpha is 6.275845973572814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26252233258328456 the lambda is 2.0 the regulation term lambda/alpha is 7.618399472225873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2622238702503247 the lambda is 2.0 the regulation term lambda/alpha is 7.62707070905008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.41338670461117677 the lambda is 2.0 the regulation term lambda/alpha is 4.838084964249539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39271814243614456 the lambda is 2.0 the regulation term lambda/alpha is 5.092710990109649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3554909566387952 the lambda is 2.0 the regulation term lambda/alpha is 5.626022160761029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26207994425203546 the lambda is 2.0 the regulation term lambda/alpha is 7.631259254529802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4249485398225661 the lambda is 2.0 the regulation term lambda/alpha is 4.706452223215273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24645545866296587 the lambda is 2.0 the regulation term lambda/alpha is 8.115056614489724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2652041938625206 the lambda is 2.0 the regulation term lambda/alpha is 7.541358870956549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2507949344350146 the lambda is 2.0 the regulation term lambda/alpha is 7.974642727555708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33446469992523276 the lambda is 2.0 the regulation term lambda/alpha is 5.979704287020681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23522894732984104 the lambda is 2.0 the regulation term lambda/alpha is 8.502354929963508 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22761100134165332 the lambda is 2.0 the regulation term lambda/alpha is 8.786921494176458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31431399053183356 the lambda is 2.0 the regulation term lambda/alpha is 6.363063879580762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28952076689306794 the lambda is 2.0 the regulation term lambda/alpha is 6.907967333267956 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2543276564223314 the lambda is 2.0 the regulation term lambda/alpha is 7.863871464607215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27933900340246326 the lambda is 2.0 the regulation term lambda/alpha is 7.159759201683912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26392477629033556 the lambda is 2.0 the regulation term lambda/alpha is 7.577916814448149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35909222528380946 the lambda is 2.0 the regulation term lambda/alpha is 5.569599838646729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3215505398206526 the lambda is 2.0 the regulation term lambda/alpha is 6.219862050660888 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3406277636599601 the lambda is 2.0 the regulation term lambda/alpha is 5.871511994531803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3707180241050137 the lambda is 2.0 the regulation term lambda/alpha is 5.394935961984567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4216233597239431 the lambda is 2.0 the regulation term lambda/alpha is 4.74357018859082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.20851442289416985 the lambda is 2.0 the regulation term lambda/alpha is 9.591662640119083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.44425433689309785 the lambda is 2.0 the regulation term lambda/alpha is 4.501925662644156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21077978041223175 the lambda is 2.0 the regulation term lambda/alpha is 9.48857616270644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 8 iterations the alpha is 0.19514219345908487 the lambda is 2.0 the regulation term lambda/alpha is 10.248936760154521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5956078046084365 the lambda is 2.0 the regulation term lambda/alpha is 3.357914359961815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3372917452902099 the lambda is 2.0 the regulation term lambda/alpha is 5.9295847820976935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31438225346628756 the lambda is 2.0 the regulation term lambda/alpha is 6.361682244937747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4001259564299269 the lambda is 2.0 the regulation term lambda/alpha is 4.998426040251791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.384764699342766 the lambda is 2.0 the regulation term lambda/alpha is 5.197982048291567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2457050526016384 the lambda is 2.0 the regulation term lambda/alpha is 8.139840751433793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.29797127533334494 the lambda is 2.0 the regulation term lambda/alpha is 6.712056381148049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35810975624284824 the lambda is 2.0 the regulation term lambda/alpha is 5.584879956869205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.23283855609409476 the lambda is 2.0 the regulation term lambda/alpha is 8.58964268440043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4099884639059913 the lambda is 2.0 the regulation term lambda/alpha is 4.878186037104185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29671895084824046 the lambda is 2.0 the regulation term lambda/alpha is 6.740385116227099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34063343536157753 the lambda is 2.0 the regulation term lambda/alpha is 5.871414231186755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.373763535495774 the lambda is 2.0 the regulation term lambda/alpha is 5.3509767809401865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22861100478352414 the lambda is 2.0 the regulation term lambda/alpha is 8.748485235406038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.49327198953590384 the lambda is 2.0 the regulation term lambda/alpha is 4.05455822026648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31944371537611055 the lambda is 2.0 the regulation term lambda/alpha is 6.260883854438068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33483036434037855 the lambda is 2.0 the regulation term lambda/alpha is 5.9731739202925445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3872690625451604 the lambda is 2.0 the regulation term lambda/alpha is 5.16436811878505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5587531969376024 the lambda is 2.0 the regulation term lambda/alpha is 3.5793978646771767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2686838381708267 the lambda is 2.0 the regulation term lambda/alpha is 7.443692979882246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5293404881428176 the lambda is 2.0 the regulation term lambda/alpha is 3.7782864617383924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2693416455768163 the lambda is 2.0 the regulation term lambda/alpha is 7.425513405908109 130 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.1884140619666162 the lambda is 2.0 the regulation term lambda/alpha is 10.614918966899436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22730382486773354 the lambda is 2.0 the regulation term lambda/alpha is 8.798796065854965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28982130511221627 the lambda is 2.0 the regulation term lambda/alpha is 6.900803925458888 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2899978144693002 the lambda is 2.0 the regulation term lambda/alpha is 6.896603699100376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3416374838250685 the lambda is 2.0 the regulation term lambda/alpha is 5.854158558971465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3642794504907149 the lambda is 2.0 the regulation term lambda/alpha is 5.490290482501367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21016836722445997 the lambda is 2.0 the regulation term lambda/alpha is 9.516179939029543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31129464935416584 the lambda is 2.0 the regulation term lambda/alpha is 6.424781165205837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35757299066124787 the lambda is 2.0 the regulation term lambda/alpha is 5.593263619552099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3163322032309496 the lambda is 2.0 the regulation term lambda/alpha is 6.322467265654356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30759242137636156 the lambda is 2.0 the regulation term lambda/alpha is 6.5021107836491705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.43381001729566426 the lambda is 2.0 the regulation term lambda/alpha is 4.610313086977185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2850034135130391 the lambda is 2.0 the regulation term lambda/alpha is 7.017459809857677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27193723816446985 the lambda is 2.0 the regulation term lambda/alpha is 7.3546382007100615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24116733771728088 the lambda is 2.0 the regulation term lambda/alpha is 8.29299696605097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34989895270992183 the lambda is 2.0 the regulation term lambda/alpha is 5.715935942392112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27330811975074876 the lambda is 2.0 the regulation term lambda/alpha is 7.317748195055302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.20542294449670057 the lambda is 2.0 the regulation term lambda/alpha is 9.736010769878353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35399226392856564 the lambda is 2.0 the regulation term lambda/alpha is 5.649840981845843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33134957772584833 the lambda is 2.0 the regulation term lambda/alpha is 6.0359213786436685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4436398122028704 the lambda is 2.0 the regulation term lambda/alpha is 4.508161677530932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38670527426962803 the lambda is 2.0 the regulation term lambda/alpha is 5.171897393376413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2884490484246321 the lambda is 2.0 the regulation term lambda/alpha is 6.933633551308364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3037962604058683 the lambda is 2.0 the regulation term lambda/alpha is 6.583359509850526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.21601385486613492 the lambda is 2.0 the regulation term lambda/alpha is 9.258665381622915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35065182887794993 the lambda is 2.0 the regulation term lambda/alpha is 5.70366339282985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2569075590065673 the lambda is 2.0 the regulation term lambda/alpha is 7.784901338573982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24022150572094506 the lambda is 2.0 the regulation term lambda/alpha is 8.325649254414856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3782907844743694 the lambda is 2.0 the regulation term lambda/alpha is 5.286938202258816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30788798079913604 the lambda is 2.0 the regulation term lambda/alpha is 6.4958690326556985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2781248226938638 the lambda is 2.0 the regulation term lambda/alpha is 7.191015820265099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2658786814507334 the lambda is 2.0 the regulation term lambda/alpha is 7.522227766014383 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2527833153569902 the lambda is 2.0 the regulation term lambda/alpha is 7.911914586512657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2857058463519681 the lambda is 2.0 the regulation term lambda/alpha is 7.00020677048432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3175358015308764 the lambda is 2.0 the regulation term lambda/alpha is 6.298502374717343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28868440727235944 the lambda is 2.0 the regulation term lambda/alpha is 6.927980693162617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36938283051272197 the lambda is 2.0 the regulation term lambda/alpha is 5.414436824862431 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.334869497592386 the lambda is 2.0 the regulation term lambda/alpha is 5.972475888008363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3257805064461711 the lambda is 2.0 the regulation term lambda/alpha is 6.139102740729704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3080050657396238 the lambda is 2.0 the regulation term lambda/alpha is 6.4933996952203605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2757090301038439 the lambda is 2.0 the regulation term lambda/alpha is 7.254024285119402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2779185290545074 the lambda is 2.0 the regulation term lambda/alpha is 7.196353574567694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3354647207974801 the lambda is 2.0 the regulation term lambda/alpha is 5.96187877892352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2520696370287989 the lambda is 2.0 the regulation term lambda/alpha is 7.934315388296847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39626924955324194 the lambda is 2.0 the regulation term lambda/alpha is 5.047073428621627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2619665786846157 the lambda is 2.0 the regulation term lambda/alpha is 7.634561668295179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2822808750151441 the lambda is 2.0 the regulation term lambda/alpha is 7.0851417046680965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4305825164647581 the lambda is 2.0 the regulation term lambda/alpha is 4.64487043371092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4097297303409995 the lambda is 2.0 the regulation term lambda/alpha is 4.881266483482881 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.324109507792935 the lambda is 2.0 the regulation term lambda/alpha is 6.170753871490086 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26517492561701106 the lambda is 2.0 the regulation term lambda/alpha is 7.542191236016696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3247914155764765 the lambda is 2.0 the regulation term lambda/alpha is 6.157798217819809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30199007104721926 the lambda is 2.0 the regulation term lambda/alpha is 6.622734294092998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3884525959554939 the lambda is 2.0 the regulation term lambda/alpha is 5.148633374634843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19414330326893767 the lambda is 2.0 the regulation term lambda/alpha is 10.301668748416695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2786205144800851 the lambda is 2.0 the regulation term lambda/alpha is 7.1782223348918315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.20874988534047284 the lambda is 2.0 the regulation term lambda/alpha is 9.580843585796385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3565618367623315 the lambda is 2.0 the regulation term lambda/alpha is 5.609125245036003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2848305398998154 the lambda is 2.0 the regulation term lambda/alpha is 7.021718951568425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3626780623073141 the lambda is 2.0 the regulation term lambda/alpha is 5.514532605794354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2301478537827925 the lambda is 2.0 the regulation term lambda/alpha is 8.690065829975314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34225177732383905 the lambda is 2.0 the regulation term lambda/alpha is 5.843651172942186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3024975968087649 the lambda is 2.0 the regulation term lambda/alpha is 6.611622773533551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20391339307682413 the lambda is 2.0 the regulation term lambda/alpha is 9.808085529950954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42141992395539624 the lambda is 2.0 the regulation term lambda/alpha is 4.7458600941983065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3196951145882711 the lambda is 2.0 the regulation term lambda/alpha is 6.255960472138462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3503849670785816 the lambda is 2.0 the regulation term lambda/alpha is 5.708007443000418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.18083502701392756 the lambda is 2.0 the regulation term lambda/alpha is 11.059804248244252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2640174550065044 the lambda is 2.0 the regulation term lambda/alpha is 7.575256719108694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.37755305700758046 the lambda is 2.0 the regulation term lambda/alpha is 5.297268722578094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22935323209469688 the lambda is 2.0 the regulation term lambda/alpha is 8.720173601801378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.23018573887982902 the lambda is 2.0 the regulation term lambda/alpha is 8.68863557635133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3643294890279515 the lambda is 2.0 the regulation term lambda/alpha is 5.489536423022182 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4441836512280471 the lambda is 2.0 the regulation term lambda/alpha is 4.502642081649209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3704569635852661 the lambda is 2.0 the regulation term lambda/alpha is 5.3987377660392415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34517329754228065 the lambda is 2.0 the regulation term lambda/alpha is 5.794190959267404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.310977831484301 the lambda is 2.0 the regulation term lambda/alpha is 6.431326601172744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39021121011159837 the lambda is 2.0 the regulation term lambda/alpha is 5.12542937817704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.22163864102446956 the lambda is 2.0 the regulation term lambda/alpha is 9.02369727027515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3945318310424711 the lambda is 2.0 the regulation term lambda/alpha is 5.0692994649263206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.21581542660925035 the lambda is 2.0 the regulation term lambda/alpha is 9.267178122633219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2879344325548851 the lambda is 2.0 the regulation term lambda/alpha is 6.946025809604298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29284658122184515 the lambda is 2.0 the regulation term lambda/alpha is 6.829514593120366 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3335795104168227 the lambda is 2.0 the regulation term lambda/alpha is 5.995572082652527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37537074119619873 the lambda is 2.0 the regulation term lambda/alpha is 5.328065777387375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30160095789409874 the lambda is 2.0 the regulation term lambda/alpha is 6.631278673532134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.19911878229397376 the lambda is 2.0 the regulation term lambda/alpha is 10.044255880629343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3808449279607552 the lambda is 2.0 the regulation term lambda/alpha is 5.251481254349522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33468695226104295 the lambda is 2.0 the regulation term lambda/alpha is 5.975733402478376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34360888142953805 the lambda is 2.0 the regulation term lambda/alpha is 5.820571318410839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36079316677830625 the lambda is 2.0 the regulation term lambda/alpha is 5.543342236381445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.255353300059435 the lambda is 2.0 the regulation term lambda/alpha is 7.832285698028919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29318276820518446 the lambda is 2.0 the regulation term lambda/alpha is 6.821683321443696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2706780324011116 the lambda is 2.0 the regulation term lambda/alpha is 7.388852291626849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27506995754894553 the lambda is 2.0 the regulation term lambda/alpha is 7.270877626263941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3774772506107784 the lambda is 2.0 the regulation term lambda/alpha is 5.298332539944838 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.298026312141385 the lambda is 2.0 the regulation term lambda/alpha is 6.710816859187894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.37942106044731855 the lambda is 2.0 the regulation term lambda/alpha is 5.271188683206197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2661442900129809 the lambda is 2.0 the regulation term lambda/alpha is 7.514720679908076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3019733321297058 the lambda is 2.0 the regulation term lambda/alpha is 6.623101404003932 140 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2454162410022784 the lambda is 2.0 the regulation term lambda/alpha is 8.149419907305289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3180570551905995 the lambda is 2.0 the regulation term lambda/alpha is 6.288179958157118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.35702814049465115 the lambda is 2.0 the regulation term lambda/alpha is 5.601799335002175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34710458374603326 the lambda is 2.0 the regulation term lambda/alpha is 5.761952142537375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3061511984391671 the lambda is 2.0 the regulation term lambda/alpha is 6.532719813596954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22943897588681092 the lambda is 2.0 the regulation term lambda/alpha is 8.71691477993111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2357613434217643 the lambda is 2.0 the regulation term lambda/alpha is 8.483154918328184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26399252020956937 the lambda is 2.0 the regulation term lambda/alpha is 7.57597222228989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3691018085405306 the lambda is 2.0 the regulation term lambda/alpha is 5.418559198905639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36878787405426905 the lambda is 2.0 the regulation term lambda/alpha is 5.423171803381175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3741420607800776 the lambda is 2.0 the regulation term lambda/alpha is 5.3455631153312355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3352192990612564 the lambda is 2.0 the regulation term lambda/alpha is 5.966243607097721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32183364482021853 the lambda is 2.0 the regulation term lambda/alpha is 6.2143906710475605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39976965187516644 the lambda is 2.0 the regulation term lambda/alpha is 5.002881010648921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3751067247205796 the lambda is 2.0 the regulation term lambda/alpha is 5.33181590250033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2814410466295824 the lambda is 2.0 the regulation term lambda/alpha is 7.106283976524194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2804238848792506 the lambda is 2.0 the regulation term lambda/alpha is 7.132060098451286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3303971805853152 the lambda is 2.0 the regulation term lambda/alpha is 6.053320420158851 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5931370855225575 the lambda is 2.0 the regulation term lambda/alpha is 3.3719017893443426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31399759598383975 the lambda is 2.0 the regulation term lambda/alpha is 6.369475516949284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.354843571939602 the lambda is 2.0 the regulation term lambda/alpha is 5.636286403802802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2939873220019605 the lambda is 2.0 the regulation term lambda/alpha is 6.803014451033581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2520273921254915 the lambda is 2.0 the regulation term lambda/alpha is 7.935645340503876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3824125154928893 the lambda is 2.0 the regulation term lambda/alpha is 5.229954352885683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35498839745200167 the lambda is 2.0 the regulation term lambda/alpha is 5.633986953814236 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2096601947522863 the lambda is 2.0 the regulation term lambda/alpha is 9.539245169370378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3795826766499797 the lambda is 2.0 the regulation term lambda/alpha is 5.268944351336238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3781133901793023 the lambda is 2.0 the regulation term lambda/alpha is 5.289418602847138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.46656344347546486 the lambda is 2.0 the regulation term lambda/alpha is 4.286662463526622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.294423567593096 the lambda is 2.0 the regulation term lambda/alpha is 6.7929344663198705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24211971269580465 the lambda is 2.0 the regulation term lambda/alpha is 8.260376562204037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2614738740883528 the lambda is 2.0 the regulation term lambda/alpha is 7.648947746588991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3542070777835136 the lambda is 2.0 the regulation term lambda/alpha is 5.646414556465673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3881963490376326 the lambda is 2.0 the regulation term lambda/alpha is 5.152031967735264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4600894233880325 the lambda is 2.0 the regulation term lambda/alpha is 4.346981039625486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3159012105858869 the lambda is 2.0 the regulation term lambda/alpha is 6.331093180335382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2962795655629363 the lambda is 2.0 the regulation term lambda/alpha is 6.750381168542507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.269778466596766 the lambda is 2.0 the regulation term lambda/alpha is 7.413490132217896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2986999383521058 the lambda is 2.0 the regulation term lambda/alpha is 6.695682667474847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34155455983012634 the lambda is 2.0 the regulation term lambda/alpha is 5.855579855220521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2924724180561471 the lambda is 2.0 the regulation term lambda/alpha is 6.83825166589231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3763126437408906 the lambda is 2.0 the regulation term lambda/alpha is 5.3147297420521875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2080799201933345 the lambda is 2.0 the regulation term lambda/alpha is 9.611691498832412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26319091260583516 the lambda is 2.0 the regulation term lambda/alpha is 7.599046563569149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3863946533545901 the lambda is 2.0 the regulation term lambda/alpha is 5.17605505831009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.2748273307137977 the lambda is 2.0 the regulation term lambda/alpha is 7.277296602217408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2454109002678527 the lambda is 2.0 the regulation term lambda/alpha is 8.149597258382201 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29397648515768626 the lambda is 2.0 the regulation term lambda/alpha is 6.803265230303092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.31050247232156053 the lambda is 2.0 the regulation term lambda/alpha is 6.441172545411404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.45855931183390053 the lambda is 2.0 the regulation term lambda/alpha is 4.361485959147724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.313904073619869 the lambda is 2.0 the regulation term lambda/alpha is 6.371373193525218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2713689039556578 the lambda is 2.0 the regulation term lambda/alpha is 7.370041190595676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26126773653702784 the lambda is 2.0 the regulation term lambda/alpha is 7.6549826875258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.30406732464182673 the lambda is 2.0 the regulation term lambda/alpha is 6.577490699981925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29466939562531275 the lambda is 2.0 the regulation term lambda/alpha is 6.787267458691579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25584069957188826 the lambda is 2.0 the regulation term lambda/alpha is 7.817364490273461 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31385647498480934 the lambda is 2.0 the regulation term lambda/alpha is 6.372339458973405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.317434015219877 the lambda is 2.0 the regulation term lambda/alpha is 6.3005220112112434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36939300000812497 the lambda is 2.0 the regulation term lambda/alpha is 5.414287763861278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2598854827274986 the lambda is 2.0 the regulation term lambda/alpha is 7.695697270236091 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3257947051520918 the lambda is 2.0 the regulation term lambda/alpha is 6.1388351878411695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34113977440774856 the lambda is 2.0 the regulation term lambda/alpha is 5.862699544408717 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3094740063311215 the lambda is 2.0 the regulation term lambda/alpha is 6.462578307336421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3248231582642126 the lambda is 2.0 the regulation term lambda/alpha is 6.157196459413744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.46221370945918105 the lambda is 2.0 the regulation term lambda/alpha is 4.3270027674863325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39933749113381434 the lambda is 2.0 the regulation term lambda/alpha is 5.00829509977018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4648441171211967 the lambda is 2.0 the regulation term lambda/alpha is 4.302517610389698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2834776704973606 the lambda is 2.0 the regulation term lambda/alpha is 7.0552294171565855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32010674695037533 the lambda is 2.0 the regulation term lambda/alpha is 6.247915793883753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4151283362689551 the lambda is 2.0 the regulation term lambda/alpha is 4.817787236533599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31410477531990527 the lambda is 2.0 the regulation term lambda/alpha is 6.367302114280391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.247498329140657 the lambda is 2.0 the regulation term lambda/alpha is 8.08086263428215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3428473336474152 the lambda is 2.0 the regulation term lambda/alpha is 5.8335002309126995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33668474051890046 the lambda is 2.0 the regulation term lambda/alpha is 5.940275157459137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23205818787872104 the lambda is 2.0 the regulation term lambda/alpha is 8.618528043687242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3978357950359555 the lambda is 2.0 the regulation term lambda/alpha is 5.027199726508381 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27611018872154974 the lambda is 2.0 the regulation term lambda/alpha is 7.243484962508755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2742026299286895 the lambda is 2.0 the regulation term lambda/alpha is 7.293876067199392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24918385334205323 the lambda is 2.0 the regulation term lambda/alpha is 8.02620223251228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2680898757593571 the lambda is 2.0 the regulation term lambda/alpha is 7.4601847396700665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26325900545363917 the lambda is 2.0 the regulation term lambda/alpha is 7.597081044022279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2528376149719806 the lambda is 2.0 the regulation term lambda/alpha is 7.910215417202221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3839699395205934 the lambda is 2.0 the regulation term lambda/alpha is 5.208741086599396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2527648115056166 the lambda is 2.0 the regulation term lambda/alpha is 7.912493784585038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3449643281279751 the lambda is 2.0 the regulation term lambda/alpha is 5.797700912594181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3281407283927002 the lambda is 2.0 the regulation term lambda/alpha is 6.094945939190192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2774630092738252 the lambda is 2.0 the regulation term lambda/alpha is 7.2081680553901215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37478811512238397 the lambda is 2.0 the regulation term lambda/alpha is 5.336348510803008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3053504820770592 the lambda is 2.0 the regulation term lambda/alpha is 6.549850474757966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2178840636516532 the lambda is 2.0 the regulation term lambda/alpha is 9.179193588006248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2996297995101808 the lambda is 2.0 the regulation term lambda/alpha is 6.674903508494468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.38083600604133994 the lambda is 2.0 the regulation term lambda/alpha is 5.25160428182544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32521068655895585 the lambda is 2.0 the regulation term lambda/alpha is 6.1498594070260655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24586569469858366 the lambda is 2.0 the regulation term lambda/alpha is 8.13452239626955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26235623388889046 the lambda is 2.0 the regulation term lambda/alpha is 7.623222708887538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2773106758377914 the lambda is 2.0 the regulation term lambda/alpha is 7.212127675783637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3843401540529334 the lambda is 2.0 the regulation term lambda/alpha is 5.2037237819406945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24850700748752416 the lambda is 2.0 the regulation term lambda/alpha is 8.048062789941271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30003624735320755 the lambda is 2.0 the regulation term lambda/alpha is 6.665861267240713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3519265595810875 the lambda is 2.0 the regulation term lambda/alpha is 5.683003869843417 150 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.32280259044750553 the lambda is 2.0 the regulation term lambda/alpha is 6.195737144573014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.341293014374416 the lambda is 2.0 the regulation term lambda/alpha is 5.8600672025648235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3364860541294107 the lambda is 2.0 the regulation term lambda/alpha is 5.943782737666777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3387943607971534 the lambda is 2.0 the regulation term lambda/alpha is 5.903285979418829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26941393042109824 the lambda is 2.0 the regulation term lambda/alpha is 7.423521110708598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.24252869499050006 the lambda is 2.0 the regulation term lambda/alpha is 8.24644687952632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.31218842554629694 the lambda is 2.0 the regulation term lambda/alpha is 6.406387413307236 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4960135601881948 the lambda is 2.0 the regulation term lambda/alpha is 4.03214782926735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29842562311391785 the lambda is 2.0 the regulation term lambda/alpha is 6.701837392952485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28985946750264135 the lambda is 2.0 the regulation term lambda/alpha is 6.899895377685999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3158165670370686 the lambda is 2.0 the regulation term lambda/alpha is 6.332790007704859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37454686412401383 the lambda is 2.0 the regulation term lambda/alpha is 5.339785729290721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3011724479743506 the lambda is 2.0 the regulation term lambda/alpha is 6.640713695597847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2688350113818051 the lambda is 2.0 the regulation term lambda/alpha is 7.439507189632969 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.286680863124201 the lambda is 2.0 the regulation term lambda/alpha is 6.9763986971586744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43609393921714845 the lambda is 2.0 the regulation term lambda/alpha is 4.586167841704676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3344232046592148 the lambda is 2.0 the regulation term lambda/alpha is 5.980446249350572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2686360153520008 the lambda is 2.0 the regulation term lambda/alpha is 7.445018112628523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25671149495003975 the lambda is 2.0 the regulation term lambda/alpha is 7.790847076751404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31606606561547496 the lambda is 2.0 the regulation term lambda/alpha is 6.32779098289278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3260050133330547 the lambda is 2.0 the regulation term lambda/alpha is 6.134874981068929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2558621417533793 the lambda is 2.0 the regulation term lambda/alpha is 7.816709366592273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25469588152053435 the lambda is 2.0 the regulation term lambda/alpha is 7.85250231790165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2530144672923735 the lambda is 2.0 the regulation term lambda/alpha is 7.904686326449781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28793270554847633 the lambda is 2.0 the regulation term lambda/alpha is 6.946067471530358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2503102995650542 the lambda is 2.0 the regulation term lambda/alpha is 7.990082723224946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2679177504211586 the lambda is 2.0 the regulation term lambda/alpha is 7.464977579335675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3380673495754591 the lambda is 2.0 the regulation term lambda/alpha is 5.915980950279806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3039348757195029 the lambda is 2.0 the regulation term lambda/alpha is 6.580357042821802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3800822688362071 the lambda is 2.0 the regulation term lambda/alpha is 5.262018683807324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33017196926798176 the lambda is 2.0 the regulation term lambda/alpha is 6.057449408664714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3554612418843799 the lambda is 2.0 the regulation term lambda/alpha is 5.626492467638808 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3011559453435871 the lambda is 2.0 the regulation term lambda/alpha is 6.64107759094117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33189004817465984 the lambda is 2.0 the regulation term lambda/alpha is 6.026092107912449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29195484598771965 the lambda is 2.0 the regulation term lambda/alpha is 6.850374390031961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41878832511244934 the lambda is 2.0 the regulation term lambda/alpha is 4.7756823198521055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42922633055063525 the lambda is 2.0 the regulation term lambda/alpha is 4.659546392306105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2523588902063304 the lambda is 2.0 the regulation term lambda/alpha is 7.925221094310511 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.20826723336421313 the lambda is 2.0 the regulation term lambda/alpha is 9.603046853282217 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2265899223678154 the lambda is 2.0 the regulation term lambda/alpha is 8.82651787467172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2930178061831528 the lambda is 2.0 the regulation term lambda/alpha is 6.825523766121865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3405123673703082 the lambda is 2.0 the regulation term lambda/alpha is 5.873501792153688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3900402676118156 the lambda is 2.0 the regulation term lambda/alpha is 5.127675694219561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.44766522746759063 the lambda is 2.0 the regulation term lambda/alpha is 4.467624191661821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38426603513211816 the lambda is 2.0 the regulation term lambda/alpha is 5.204727499042066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.4199146236575856 the lambda is 2.0 the regulation term lambda/alpha is 4.762872944455672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38686029709184966 the lambda is 2.0 the regulation term lambda/alpha is 5.169824908460827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2748503210799115 the lambda is 2.0 the regulation term lambda/alpha is 7.276687879213025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2340948625718897 the lambda is 2.0 the regulation term lambda/alpha is 8.54354503139003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2700808045880021 the lambda is 2.0 the regulation term lambda/alpha is 7.405191209537913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42526188762223394 the lambda is 2.0 the regulation term lambda/alpha is 4.70298434497057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25321097725258956 the lambda is 2.0 the regulation term lambda/alpha is 7.8985517203897055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2432079109638124 the lambda is 2.0 the regulation term lambda/alpha is 8.223416714012998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3357619235360312 the lambda is 2.0 the regulation term lambda/alpha is 5.9566015673762855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2869971544887735 the lambda is 2.0 the regulation term lambda/alpha is 6.968710207467351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24764076263323972 the lambda is 2.0 the regulation term lambda/alpha is 8.07621483124745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5720957987344781 the lambda is 2.0 the regulation term lambda/alpha is 3.495917999090643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33761130180373605 the lambda is 2.0 the regulation term lambda/alpha is 5.92397229984517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2967917855693906 the lambda is 2.0 the regulation term lambda/alpha is 6.738730979912499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24493974275477703 the lambda is 2.0 the regulation term lambda/alpha is 8.16527353832617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3251551776166395 the lambda is 2.0 the regulation term lambda/alpha is 6.150909281715378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35946285551785256 the lambda is 2.0 the regulation term lambda/alpha is 5.563857208886693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2926361653780848 the lambda is 2.0 the regulation term lambda/alpha is 6.834425257780452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2618727117016904 the lambda is 2.0 the regulation term lambda/alpha is 7.63729823929986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32115423112205066 the lambda is 2.0 the regulation term lambda/alpha is 6.227537445209386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27054597081775494 the lambda is 2.0 the regulation term lambda/alpha is 7.392459011512092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25236171752371617 the lambda is 2.0 the regulation term lambda/alpha is 7.925132304633512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.287009012295247 the lambda is 2.0 the regulation term lambda/alpha is 6.9684222944978265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.39973920870017066 the lambda is 2.0 the regulation term lambda/alpha is 5.003262018012661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33540156668542503 the lambda is 2.0 the regulation term lambda/alpha is 5.9630013650944305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2698300097216819 the lambda is 2.0 the regulation term lambda/alpha is 7.412074001935197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21162180692775337 the lambda is 2.0 the regulation term lambda/alpha is 9.450821864888386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30576816733802464 the lambda is 2.0 the regulation term lambda/alpha is 6.540903251675029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25072969370634113 the lambda is 2.0 the regulation term lambda/alpha is 7.976717757021767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21093032186779626 the lambda is 2.0 the regulation term lambda/alpha is 9.481804144088539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.380017016588661 the lambda is 2.0 the regulation term lambda/alpha is 5.262922218466983 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28553161581708847 the lambda is 2.0 the regulation term lambda/alpha is 7.004478275642862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2906893154123056 the lambda is 2.0 the regulation term lambda/alpha is 6.880197839962766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35976392494735093 the lambda is 2.0 the regulation term lambda/alpha is 5.559201079687706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2794970704707868 the lambda is 2.0 the regulation term lambda/alpha is 7.155710063905808 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2831582497982867 the lambda is 2.0 the regulation term lambda/alpha is 7.063188169247193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3047598121399349 the lambda is 2.0 the regulation term lambda/alpha is 6.562545061163349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31381509046080014 the lambda is 2.0 the regulation term lambda/alpha is 6.373179814467296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2913658125893724 the lambda is 2.0 the regulation term lambda/alpha is 6.864223301374893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.27459634080103723 the lambda is 2.0 the regulation term lambda/alpha is 7.283418250096527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31061547384669447 the lambda is 2.0 the regulation term lambda/alpha is 6.438829254807532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2791870237985676 the lambda is 2.0 the regulation term lambda/alpha is 7.163656722967873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33894121927657245 the lambda is 2.0 the regulation term lambda/alpha is 5.900728168349513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2822832130065362 the lambda is 2.0 the regulation term lambda/alpha is 7.085083022466839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.24182203902850888 the lambda is 2.0 the regulation term lambda/alpha is 8.27054476934675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2961364078716636 the lambda is 2.0 the regulation term lambda/alpha is 6.75364442479068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4053570641869086 the lambda is 2.0 the regulation term lambda/alpha is 4.933921662403317 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 7 iterations the alpha is 0.20476705071398482 the lambda is 2.0 the regulation term lambda/alpha is 9.76719639720536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4301091748958662 the lambda is 2.0 the regulation term lambda/alpha is 4.649982182975335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.41772769450761976 the lambda is 2.0 the regulation term lambda/alpha is 4.787808005780948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2971575567886873 the lambda is 2.0 the regulation term lambda/alpha is 6.7304362763428776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32216026922513846 the lambda is 2.0 the regulation term lambda/alpha is 6.2080901683202905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25741535060190623 the lambda is 2.0 the regulation term lambda/alpha is 7.769544416537175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2590272006780018 the lambda is 2.0 the regulation term lambda/alpha is 7.721196827070727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3953706973685637 the lambda is 2.0 the regulation term lambda/alpha is 5.0585438256078055 160 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28826077014016604 the lambda is 2.0 the regulation term lambda/alpha is 6.9381622724018435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3800610509558393 the lambda is 2.0 the regulation term lambda/alpha is 5.2623124494606195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22145749822106828 the lambda is 2.0 the regulation term lambda/alpha is 9.031078270393515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2904292620225698 the lambda is 2.0 the regulation term lambda/alpha is 6.886358440853582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2849690936519702 the lambda is 2.0 the regulation term lambda/alpha is 7.0183049479835145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27102032867621595 the lambda is 2.0 the regulation term lambda/alpha is 7.37952023661432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42891955869085874 the lambda is 2.0 the regulation term lambda/alpha is 4.662878993218139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4020324793765187 the lambda is 2.0 the regulation term lambda/alpha is 4.974722448051079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36767154448548894 the lambda is 2.0 the regulation term lambda/alpha is 5.439637714685682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3213089023405821 the lambda is 2.0 the regulation term lambda/alpha is 6.224539642166631 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2734416578835381 the lambda is 2.0 the regulation term lambda/alpha is 7.314174495137909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38635512594153604 the lambda is 2.0 the regulation term lambda/alpha is 5.176584612734357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2917276967944313 the lambda is 2.0 the regulation term lambda/alpha is 6.855708326553989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34458946795663736 the lambda is 2.0 the regulation term lambda/alpha is 5.80400791660782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.314327429616302 the lambda is 2.0 the regulation term lambda/alpha is 6.362791826476584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30544828658715656 the lambda is 2.0 the regulation term lambda/alpha is 6.547753213306438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29860358479261073 the lambda is 2.0 the regulation term lambda/alpha is 6.697843233828089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3045528054827884 the lambda is 2.0 the regulation term lambda/alpha is 6.567005668621328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3079491843695603 the lambda is 2.0 the regulation term lambda/alpha is 6.49457800673978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22144274454522178 the lambda is 2.0 the regulation term lambda/alpha is 9.031679968144413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4204646970858654 the lambda is 2.0 the regulation term lambda/alpha is 4.756641910394605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3904530845055968 the lambda is 2.0 the regulation term lambda/alpha is 5.122254322904015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33683519813248924 the lambda is 2.0 the regulation term lambda/alpha is 5.93762175416516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21872855269139618 the lambda is 2.0 the regulation term lambda/alpha is 9.143753640713735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.324058241014304 the lambda is 2.0 the regulation term lambda/alpha is 6.171730099317917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3299047051942161 the lambda is 2.0 the regulation term lambda/alpha is 6.06235670031621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3247196690097515 the lambda is 2.0 the regulation term lambda/alpha is 6.159158778706253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.41565490002933336 the lambda is 2.0 the regulation term lambda/alpha is 4.811683923030516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42284781896965473 the lambda is 2.0 the regulation term lambda/alpha is 4.729834021311407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2975602954998784 the lambda is 2.0 the regulation term lambda/alpha is 6.72132683777637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3282007063432743 the lambda is 2.0 the regulation term lambda/alpha is 6.093832101348813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2726283449338364 the lambda is 2.0 the regulation term lambda/alpha is 7.33599435702614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30474616331790844 the lambda is 2.0 the regulation term lambda/alpha is 6.56283898121998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2766965580278476 the lambda is 2.0 the regulation term lambda/alpha is 7.22813472728025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.47590477608881643 the lambda is 2.0 the regulation term lambda/alpha is 4.202521387654128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39044582468976524 the lambda is 2.0 the regulation term lambda/alpha is 5.1223495643451455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36387095839561306 the lambda is 2.0 the regulation term lambda/alpha is 5.496454041890122 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35551202415943184 the lambda is 2.0 the regulation term lambda/alpha is 5.625688764617103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35289422048666735 the lambda is 2.0 the regulation term lambda/alpha is 5.667420671389436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3409180715290329 the lambda is 2.0 the regulation term lambda/alpha is 5.866512124247066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3158583388421056 the lambda is 2.0 the regulation term lambda/alpha is 6.331952505454604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3325799917827414 the lambda is 2.0 the regulation term lambda/alpha is 6.0135908635974245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3983544402843608 the lambda is 2.0 the regulation term lambda/alpha is 5.020654466841948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3129691224658621 the lambda is 2.0 the regulation term lambda/alpha is 6.390406773173462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2629817844387129 the lambda is 2.0 the regulation term lambda/alpha is 7.605089471381596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3140783109856339 the lambda is 2.0 the regulation term lambda/alpha is 6.367838625098443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36553941734307427 the lambda is 2.0 the regulation term lambda/alpha is 5.471366164932399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3300459516965563 the lambda is 2.0 the regulation term lambda/alpha is 6.059762253465834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3028494921721531 the lambda is 2.0 the regulation term lambda/alpha is 6.603940411638898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29070690302727686 the lambda is 2.0 the regulation term lambda/alpha is 6.879781591606516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28077001620598563 the lambda is 2.0 the regulation term lambda/alpha is 7.123267744276188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2925233490714366 the lambda is 2.0 the regulation term lambda/alpha is 6.837061063154939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29415612715664574 the lambda is 2.0 the regulation term lambda/alpha is 6.799110456519399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23978231647004858 the lambda is 2.0 the regulation term lambda/alpha is 8.340898651088901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3810424538479591 the lambda is 2.0 the regulation term lambda/alpha is 5.248758976337125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2686031396843475 the lambda is 2.0 the regulation term lambda/alpha is 7.445929345242673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3193032318202744 the lambda is 2.0 the regulation term lambda/alpha is 6.263638449878691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3229604228557808 the lambda is 2.0 the regulation term lambda/alpha is 6.192709256183714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2574083540241515 the lambda is 2.0 the regulation term lambda/alpha is 7.769755599355367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34064253023295815 the lambda is 2.0 the regulation term lambda/alpha is 5.8712574693249335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34322870545171513 the lambda is 2.0 the regulation term lambda/alpha is 5.827018452223708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.34511010759734956 the lambda is 2.0 the regulation term lambda/alpha is 5.795251880404097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2713262705659337 the lambda is 2.0 the regulation term lambda/alpha is 7.371199242256895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2396524290133464 the lambda is 2.0 the regulation term lambda/alpha is 8.345419273378692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2312316976729536 the lambda is 2.0 the regulation term lambda/alpha is 8.649333201837809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2355847971315838 the lambda is 2.0 the regulation term lambda/alpha is 8.489512160171005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3443182988111971 the lambda is 2.0 the regulation term lambda/alpha is 5.808578884437033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37018304671715296 the lambda is 2.0 the regulation term lambda/alpha is 5.402732560921805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2816180065320665 the lambda is 2.0 the regulation term lambda/alpha is 7.101818611063386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.33407626138266266 the lambda is 2.0 the regulation term lambda/alpha is 5.98665703370384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31421828217326914 the lambda is 2.0 the regulation term lambda/alpha is 6.365002017601069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.28234337247212593 the lambda is 2.0 the regulation term lambda/alpha is 7.083573389693955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2937119071027894 the lambda is 2.0 the regulation term lambda/alpha is 6.8093936664953345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40945003136649993 the lambda is 2.0 the regulation term lambda/alpha is 4.8846009202275384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3176618164681066 the lambda is 2.0 the regulation term lambda/alpha is 6.296003788673169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31227401748748135 the lambda is 2.0 the regulation term lambda/alpha is 6.404631471077088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30203031963896687 the lambda is 2.0 the regulation term lambda/alpha is 6.621851747833489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.292623865879611 the lambda is 2.0 the regulation term lambda/alpha is 6.834712520758045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2573283037369492 the lambda is 2.0 the regulation term lambda/alpha is 7.772172632997559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4220183000390956 the lambda is 2.0 the regulation term lambda/alpha is 4.739130980373886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3323137020056183 the lambda is 2.0 the regulation term lambda/alpha is 6.018409677149535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2830813425953072 the lambda is 2.0 the regulation term lambda/alpha is 7.065107087821036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2952692182711008 the lambda is 2.0 the regulation term lambda/alpha is 6.773479510362317 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4319558561252428 the lambda is 2.0 the regulation term lambda/alpha is 4.630102756194867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.22253568831619827 the lambda is 2.0 the regulation term lambda/alpha is 8.987322506034287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29198176269621046 the lambda is 2.0 the regulation term lambda/alpha is 6.849742879595121 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3327693075582782 the lambda is 2.0 the regulation term lambda/alpha is 6.010169671822086 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.345308156312913 the lambda is 2.0 the regulation term lambda/alpha is 5.7919280603022605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.371059917155765 the lambda is 2.0 the regulation term lambda/alpha is 5.389965090625599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3681631716964113 the lambda is 2.0 the regulation term lambda/alpha is 5.4323738867862845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26402972006994474 the lambda is 2.0 the regulation term lambda/alpha is 7.5749048231016385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3423214587126171 the lambda is 2.0 the regulation term lambda/alpha is 5.8424616660652395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3361136987581211 the lambda is 2.0 the regulation term lambda/alpha is 5.950367412544136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3002342196663846 the lambda is 2.0 the regulation term lambda/alpha is 6.661465845640007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33478964713189024 the lambda is 2.0 the regulation term lambda/alpha is 5.973900379339092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3218134405764426 the lambda is 2.0 the regulation term lambda/alpha is 6.214780825864623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2572957951614528 the lambda is 2.0 the regulation term lambda/alpha is 7.773154624408077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4307058473205023 the lambda is 2.0 the regulation term lambda/alpha is 4.643540394081844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3392989152887805 the lambda is 2.0 the regulation term lambda/alpha is 5.894507497313339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2741408566003167 the lambda is 2.0 the regulation term lambda/alpha is 7.295519627400514 170 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3232808465384813 the lambda is 2.0 the regulation term lambda/alpha is 6.1865712782397475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27817449609238737 the lambda is 2.0 the regulation term lambda/alpha is 7.189731726289385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3271096034025781 the lambda is 2.0 the regulation term lambda/alpha is 6.114158615938199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35202421643301757 the lambda is 2.0 the regulation term lambda/alpha is 5.681427318454257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.49304901113584504 the lambda is 2.0 the regulation term lambda/alpha is 4.056391869426059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3349379262970453 the lambda is 2.0 the regulation term lambda/alpha is 5.971255695380005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.335490961098637 the lambda is 2.0 the regulation term lambda/alpha is 5.9614124727848745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.46301674920178293 the lambda is 2.0 the regulation term lambda/alpha is 4.319498168150282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3962931906907634 the lambda is 2.0 the regulation term lambda/alpha is 5.046768521341174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33048115423635716 the lambda is 2.0 the regulation term lambda/alpha is 6.051782300934527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27209886259078314 the lambda is 2.0 the regulation term lambda/alpha is 7.350269607733915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.5197015178634146 the lambda is 2.0 the regulation term lambda/alpha is 3.848362822226027 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24916774241625522 the lambda is 2.0 the regulation term lambda/alpha is 8.026721198359759 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4252567666770099 the lambda is 2.0 the regulation term lambda/alpha is 4.70304097834388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25506281728673086 the lambda is 2.0 the regulation term lambda/alpha is 7.841205634264145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3306831507457978 the lambda is 2.0 the regulation term lambda/alpha is 6.04808559338252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25368867398071543 the lambda is 2.0 the regulation term lambda/alpha is 7.883678717765829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4496393281307858 the lambda is 2.0 the regulation term lambda/alpha is 4.448009493107025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3105813735433533 the lambda is 2.0 the regulation term lambda/alpha is 6.439536206509901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.331886128721869 the lambda is 2.0 the regulation term lambda/alpha is 6.026163273838006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28144841847854546 the lambda is 2.0 the regulation term lambda/alpha is 7.106097844896784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.21384854075351434 the lambda is 2.0 the regulation term lambda/alpha is 9.352413595869406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29520353707249863 the lambda is 2.0 the regulation term lambda/alpha is 6.774986573107431 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29579052782215665 the lambda is 2.0 the regulation term lambda/alpha is 6.761541739438307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25711879125832027 the lambda is 2.0 the regulation term lambda/alpha is 7.778505764639561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.444759798863728 the lambda is 2.0 the regulation term lambda/alpha is 4.496809300457457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27799388489358573 the lambda is 2.0 the regulation term lambda/alpha is 7.194402858054188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25381940641559986 the lambda is 2.0 the regulation term lambda/alpha is 7.879618143638835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3762411603674723 the lambda is 2.0 the regulation term lambda/alpha is 5.315739506136471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2495842145121243 the lambda is 2.0 the regulation term lambda/alpha is 8.013327300805091 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3433274954409221 the lambda is 2.0 the regulation term lambda/alpha is 5.825341770053919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27580919865269893 the lambda is 2.0 the regulation term lambda/alpha is 7.251389764263865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2415288420289575 the lambda is 2.0 the regulation term lambda/alpha is 8.28058455958736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3047746585867055 the lambda is 2.0 the regulation term lambda/alpha is 6.562225380792344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2839718055545837 the lambda is 2.0 the regulation term lambda/alpha is 7.042952718823946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3795380857643122 the lambda is 2.0 the regulation term lambda/alpha is 5.269563385114325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3066285405181956 the lambda is 2.0 the regulation term lambda/alpha is 6.522550042536952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29783907777865537 the lambda is 2.0 the regulation term lambda/alpha is 6.715035565233442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37355291702835375 the lambda is 2.0 the regulation term lambda/alpha is 5.35399379533742 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28469373469309545 the lambda is 2.0 the regulation term lambda/alpha is 7.025093130890404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25427189040239895 the lambda is 2.0 the regulation term lambda/alpha is 7.865596141338677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2804267131161795 the lambda is 2.0 the regulation term lambda/alpha is 7.1319881682292126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.518836503840788 the lambda is 2.0 the regulation term lambda/alpha is 3.8547788854381126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27002325958589596 the lambda is 2.0 the regulation term lambda/alpha is 7.406769339304966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26867253486690407 the lambda is 2.0 the regulation term lambda/alpha is 7.444006142982821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2958326737348652 the lambda is 2.0 the regulation term lambda/alpha is 6.76057845386093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3288980191009165 the lambda is 2.0 the regulation term lambda/alpha is 6.0809122702144816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2899387317674124 the lambda is 2.0 the regulation term lambda/alpha is 6.898009064909587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38739943704219687 the lambda is 2.0 the regulation term lambda/alpha is 5.162630114462849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3060121188102634 the lambda is 2.0 the regulation term lambda/alpha is 6.535688873289555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32305130773365937 the lambda is 2.0 the regulation term lambda/alpha is 6.1909670449280645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3175663126845617 the lambda is 2.0 the regulation term lambda/alpha is 6.297897226859192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35237061530100594 the lambda is 2.0 the regulation term lambda/alpha is 5.675842176259612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4361323765390456 the lambda is 2.0 the regulation term lambda/alpha is 4.585763652474322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3054720798188129 the lambda is 2.0 the regulation term lambda/alpha is 6.547243208565169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25589512206514053 the lambda is 2.0 the regulation term lambda/alpha is 7.815701932336487 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23894146632703706 the lambda is 2.0 the regulation term lambda/alpha is 8.370250801351565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2832604822657049 the lambda is 2.0 the regulation term lambda/alpha is 7.06063897089589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32935377307041847 the lambda is 2.0 the regulation term lambda/alpha is 6.072497610562925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30962146991085315 the lambda is 2.0 the regulation term lambda/alpha is 6.45950037177927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2835450368388715 the lambda is 2.0 the regulation term lambda/alpha is 7.053553193161792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2777570293228319 the lambda is 2.0 the regulation term lambda/alpha is 7.200537840125863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3022718809939447 the lambda is 2.0 the regulation term lambda/alpha is 6.616559877893721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2577669050266294 the lambda is 2.0 the regulation term lambda/alpha is 7.758947952582911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3087186140472383 the lambda is 2.0 the regulation term lambda/alpha is 6.478391353797577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3330549187761202 the lambda is 2.0 the regulation term lambda/alpha is 6.0050156513208615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4411827864515723 the lambda is 2.0 the regulation term lambda/alpha is 4.533268435257811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.295625766551352 the lambda is 2.0 the regulation term lambda/alpha is 6.765310153208814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4195547798589526 the lambda is 2.0 the regulation term lambda/alpha is 4.7669579659475385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36824253169743176 the lambda is 2.0 the regulation term lambda/alpha is 5.431203155107867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38004696319273906 the lambda is 2.0 the regulation term lambda/alpha is 5.262507515382275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2457878499250333 the lambda is 2.0 the regulation term lambda/alpha is 8.137098724001254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34405156371613227 the lambda is 2.0 the regulation term lambda/alpha is 5.813082139193956 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.48240185470809005 the lambda is 2.0 the regulation term lambda/alpha is 4.145921041722022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3444559870401109 the lambda is 2.0 the regulation term lambda/alpha is 5.806257040807672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35930808070488274 the lambda is 2.0 the regulation term lambda/alpha is 5.566253884623033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24501758462963752 the lambda is 2.0 the regulation term lambda/alpha is 8.162679437980545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27252487623186467 the lambda is 2.0 the regulation term lambda/alpha is 7.338779591989967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3033675975118903 the lambda is 2.0 the regulation term lambda/alpha is 6.592661894029772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32991435675962305 the lambda is 2.0 the regulation term lambda/alpha is 6.062179347524449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3841589892130485 the lambda is 2.0 the regulation term lambda/alpha is 5.206177796586277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2704595033434923 the lambda is 2.0 the regulation term lambda/alpha is 7.39482242359935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2844295142393918 the lambda is 2.0 the regulation term lambda/alpha is 7.031619082669065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.17065008309192925 the lambda is 2.0 the regulation term lambda/alpha is 11.719888814367582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40603781409152895 the lambda is 2.0 the regulation term lambda/alpha is 4.925649608460262 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34486627433283035 the lambda is 2.0 the regulation term lambda/alpha is 5.799349338723103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2355340009944012 the lambda is 2.0 the regulation term lambda/alpha is 8.491343039884681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3289840625775757 the lambda is 2.0 the regulation term lambda/alpha is 6.079321850213922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2368901992349399 the lambda is 2.0 the regulation term lambda/alpha is 8.442730034670898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31610143833877846 the lambda is 2.0 the regulation term lambda/alpha is 6.327082883617001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26259067500218064 the lambda is 2.0 the regulation term lambda/alpha is 7.6164166910473545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29952600291819054 the lambda is 2.0 the regulation term lambda/alpha is 6.677216603949606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3003777799095932 the lambda is 2.0 the regulation term lambda/alpha is 6.658282115947305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3014229761236995 the lambda is 2.0 the regulation term lambda/alpha is 6.63519425665557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2318148420277443 the lambda is 2.0 the regulation term lambda/alpha is 8.627575277344123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24384183467819512 the lambda is 2.0 the regulation term lambda/alpha is 8.20203802452297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32344145219424303 the lambda is 2.0 the regulation term lambda/alpha is 6.183499320918514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30886533394372906 the lambda is 2.0 the regulation term lambda/alpha is 6.475313932007572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3832304014221161 the lambda is 2.0 the regulation term lambda/alpha is 5.218792644263792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35331752236020997 the lambda is 2.0 the regulation term lambda/alpha is 5.660630660601612 180 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2813236943256107 the lambda is 2.0 the regulation term lambda/alpha is 7.109248315519249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25120465760024985 the lambda is 2.0 the regulation term lambda/alpha is 7.9616358195979995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2509420908782338 the lambda is 2.0 the regulation term lambda/alpha is 7.96996626990915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3472596859224905 the lambda is 2.0 the regulation term lambda/alpha is 5.759378589216389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3371547930672835 the lambda is 2.0 the regulation term lambda/alpha is 5.931993378486168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2593626405108594 the lambda is 2.0 the regulation term lambda/alpha is 7.711210820728288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2931131042789476 the lambda is 2.0 the regulation term lambda/alpha is 6.823304624745319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3903971398474609 the lambda is 2.0 the regulation term lambda/alpha is 5.122988351762659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24568462683778175 the lambda is 2.0 the regulation term lambda/alpha is 8.140517482685397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4241585739586212 the lambda is 2.0 the regulation term lambda/alpha is 4.715217663371129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2853458087852568 the lambda is 2.0 the regulation term lambda/alpha is 7.009039342523316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33352881276511004 the lambda is 2.0 the regulation term lambda/alpha is 5.996483432477882 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32560607283274756 the lambda is 2.0 the regulation term lambda/alpha is 6.142391579494065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3244340839995417 the lambda is 2.0 the regulation term lambda/alpha is 6.164580414438901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.41291790521372207 the lambda is 2.0 the regulation term lambda/alpha is 4.8435778026259735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2598483256661776 the lambda is 2.0 the regulation term lambda/alpha is 7.696797717947828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3394864290500209 the lambda is 2.0 the regulation term lambda/alpha is 5.891251693319718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.325376665417047 the lambda is 2.0 the regulation term lambda/alpha is 6.146722283961353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35334133542306934 the lambda is 2.0 the regulation term lambda/alpha is 5.660249168428942 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.41130502214488224 the lambda is 2.0 the regulation term lambda/alpha is 4.862571309171858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3785994770147962 the lambda is 2.0 the regulation term lambda/alpha is 5.282627476851578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36819848662003374 the lambda is 2.0 the regulation term lambda/alpha is 5.43185285295298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2723507170236039 the lambda is 2.0 the regulation term lambda/alpha is 7.343472496996089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28932397478003136 the lambda is 2.0 the regulation term lambda/alpha is 6.91266598808678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4335849640928244 the lambda is 2.0 the regulation term lambda/alpha is 4.6127060798442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34904712881646655 the lambda is 2.0 the regulation term lambda/alpha is 5.72988526443839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.29555632166205076 the lambda is 2.0 the regulation term lambda/alpha is 6.766899752822302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.392589049208898 the lambda is 2.0 the regulation term lambda/alpha is 5.094385602528086 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3027608710828263 the lambda is 2.0 the regulation term lambda/alpha is 6.605873450049825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28212306734833076 the lambda is 2.0 the regulation term lambda/alpha is 7.089104832149888 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4246562125167671 the lambda is 2.0 the regulation term lambda/alpha is 4.709692078085475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35780813945847817 the lambda is 2.0 the regulation term lambda/alpha is 5.589587769095705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3188785153006994 the lambda is 2.0 the regulation term lambda/alpha is 6.27198103363602 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22154091486874447 the lambda is 2.0 the regulation term lambda/alpha is 9.027677804729356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3334581519116487 the lambda is 2.0 the regulation term lambda/alpha is 5.997754106577996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28113767798352657 the lambda is 2.0 the regulation term lambda/alpha is 7.113952190062519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.3031695343932393 the lambda is 2.0 the regulation term lambda/alpha is 6.596968933579627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27228518701952303 the lambda is 2.0 the regulation term lambda/alpha is 7.345239827007551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29335516821241303 the lambda is 2.0 the regulation term lambda/alpha is 6.81767433035929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35731172238798975 the lambda is 2.0 the regulation term lambda/alpha is 5.597353444307893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3450160088243849 the lambda is 2.0 the regulation term lambda/alpha is 5.796832462397452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3690325079666155 the lambda is 2.0 the regulation term lambda/alpha is 5.419576749539176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3187285451017921 the lambda is 2.0 the regulation term lambda/alpha is 6.274932166371422 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22520244379301874 the lambda is 2.0 the regulation term lambda/alpha is 8.880898298946434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2190035521861881 the lambda is 2.0 the regulation term lambda/alpha is 9.132271965614875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24319460593321068 the lambda is 2.0 the regulation term lambda/alpha is 8.223866612194788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29755886206878196 the lambda is 2.0 the regulation term lambda/alpha is 6.721359216441995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26746603036244915 the lambda is 2.0 the regulation term lambda/alpha is 7.477585087309053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33958519936450865 the lambda is 2.0 the regulation term lambda/alpha is 5.889538188774866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26027152550571253 the lambda is 2.0 the regulation term lambda/alpha is 7.684282773975992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3219482168799131 the lambda is 2.0 the regulation term lambda/alpha is 6.212179149126959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26091395628223435 the lambda is 2.0 the regulation term lambda/alpha is 7.665362284555493 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.43283870462911817 the lambda is 2.0 the regulation term lambda/alpha is 4.620658870406976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23551857410286972 the lambda is 2.0 the regulation term lambda/alpha is 8.491899238174058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21423632156762007 the lambda is 2.0 the regulation term lambda/alpha is 9.335485156604193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26522363109483793 the lambda is 2.0 the regulation term lambda/alpha is 7.540806193415117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3295700041078463 the lambda is 2.0 the regulation term lambda/alpha is 6.0685134419743285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32171600491174507 the lambda is 2.0 the regulation term lambda/alpha is 6.216663048979025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3243869720607969 the lambda is 2.0 the regulation term lambda/alpha is 6.165475719614159 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2579814332717658 the lambda is 2.0 the regulation term lambda/alpha is 7.752495885597847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3307595543535098 the lambda is 2.0 the regulation term lambda/alpha is 6.046688519426521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3230317753903017 the lambda is 2.0 the regulation term lambda/alpha is 6.19134138610206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32901927684256166 the lambda is 2.0 the regulation term lambda/alpha is 6.078671192742958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37257324965260485 the lambda is 2.0 the regulation term lambda/alpha is 5.368071921064763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.26931307416553824 the lambda is 2.0 the regulation term lambda/alpha is 7.426301178273518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2507145845609405 the lambda is 2.0 the regulation term lambda/alpha is 7.977198468539295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2711755905705621 the lambda is 2.0 the regulation term lambda/alpha is 7.375295083867748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26231737332977545 the lambda is 2.0 the regulation term lambda/alpha is 7.6243520381918275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4042812336743746 the lambda is 2.0 the regulation term lambda/alpha is 4.9470512935331685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.25762471555298205 the lambda is 2.0 the regulation term lambda/alpha is 7.763230308501546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.260213391046192 the lambda is 2.0 the regulation term lambda/alpha is 7.685999525078124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31456200341722357 the lambda is 2.0 the regulation term lambda/alpha is 6.35804699319413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2774734764451647 the lambda is 2.0 the regulation term lambda/alpha is 7.207896140643364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38076133098559284 the lambda is 2.0 the regulation term lambda/alpha is 5.252634228436594 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3633324816399816 the lambda is 2.0 the regulation term lambda/alpha is 5.504600059352131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2675273356508992 the lambda is 2.0 the regulation term lambda/alpha is 7.475871559569646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3087728099491694 the lambda is 2.0 the regulation term lambda/alpha is 6.477254264484113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3402732963885893 the lambda is 2.0 the regulation term lambda/alpha is 5.8776284275802135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28051109010655334 the lambda is 2.0 the regulation term lambda/alpha is 7.129842885143298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29892247733864846 the lambda is 2.0 the regulation term lambda/alpha is 6.690697928795115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32094362281517974 the lambda is 2.0 the regulation term lambda/alpha is 6.231624054271147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28488919470414215 the lambda is 2.0 the regulation term lambda/alpha is 7.020273275288671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32089444057612765 the lambda is 2.0 the regulation term lambda/alpha is 6.23257915097949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22663554413145043 the lambda is 2.0 the regulation term lambda/alpha is 8.824741095509644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3762883057739585 the lambda is 2.0 the regulation term lambda/alpha is 5.31507349367755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25938970840949804 the lambda is 2.0 the regulation term lambda/alpha is 7.7104061385604545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33344492043555735 the lambda is 2.0 the regulation term lambda/alpha is 5.997992104325747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30339326728265426 the lambda is 2.0 the regulation term lambda/alpha is 6.5921040961555475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4018080870821737 the lambda is 2.0 the regulation term lambda/alpha is 4.9775006135976065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23206451327068073 the lambda is 2.0 the regulation term lambda/alpha is 8.618293128114741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3302314429806978 the lambda is 2.0 the regulation term lambda/alpha is 6.056358479821987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2955277792037961 the lambda is 2.0 the regulation term lambda/alpha is 6.767553308823802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31766175393919616 the lambda is 2.0 the regulation term lambda/alpha is 6.2960050279859034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2662242159461146 the lambda is 2.0 the regulation term lambda/alpha is 7.512464607670446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29546034498357243 the lambda is 2.0 the regulation term lambda/alpha is 6.76909789742241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39176674802744904 the lambda is 2.0 the regulation term lambda/alpha is 5.105078493950871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3274950296238182 the lambda is 2.0 the regulation term lambda/alpha is 6.106962912680929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.250775262554073 the lambda is 2.0 the regulation term lambda/alpha is 7.975268292536443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31630927396554664 the lambda is 2.0 the regulation term lambda/alpha is 6.322925581429035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3330200940131328 the lambda is 2.0 the regulation term lambda/alpha is 6.005643611166385 190 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2997301367202937 the lambda is 2.0 the regulation term lambda/alpha is 6.672669027827481 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3409240662681001 the lambda is 2.0 the regulation term lambda/alpha is 5.86640896869749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2718766936139362 the lambda is 2.0 the regulation term lambda/alpha is 7.356276014007998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3446234409356615 the lambda is 2.0 the regulation term lambda/alpha is 5.803435757503752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34733237475982104 the lambda is 2.0 the regulation term lambda/alpha is 5.758173281091324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3394077586582408 the lambda is 2.0 the regulation term lambda/alpha is 5.892617210362172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30705842964590635 the lambda is 2.0 the regulation term lambda/alpha is 6.513418316853766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2826324367847264 the lambda is 2.0 the regulation term lambda/alpha is 7.076328615187743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4735517030151177 the lambda is 2.0 the regulation term lambda/alpha is 4.2234036690522725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25656485781306293 the lambda is 2.0 the regulation term lambda/alpha is 7.7952998592552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2663876641487569 the lambda is 2.0 the regulation term lambda/alpha is 7.507855164356089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38370888473633147 the lambda is 2.0 the regulation term lambda/alpha is 5.212284832482614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40099483850690204 the lambda is 2.0 the regulation term lambda/alpha is 4.987595370172266 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26827606799484455 the lambda is 2.0 the regulation term lambda/alpha is 7.455007131081234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2719219948637293 the lambda is 2.0 the regulation term lambda/alpha is 7.355050484247432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3328453477341434 the lambda is 2.0 the regulation term lambda/alpha is 6.0087966186550945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3097040634639709 the lambda is 2.0 the regulation term lambda/alpha is 6.457777717316479 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.320868925345881 the lambda is 2.0 the regulation term lambda/alpha is 6.233074760493238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31129100865945336 the lambda is 2.0 the regulation term lambda/alpha is 6.424856306042438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.435343431850732 the lambda is 2.0 the regulation term lambda/alpha is 4.594074134752878 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28471504994293 the lambda is 2.0 the regulation term lambda/alpha is 7.024567195871423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34938017829837137 the lambda is 2.0 the regulation term lambda/alpha is 5.724423204947809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36351598638339827 the lambda is 2.0 the regulation term lambda/alpha is 5.501821308872538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.352352640075348 the lambda is 2.0 the regulation term lambda/alpha is 5.676131728635026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.48486040053572677 the lambda is 2.0 the regulation term lambda/alpha is 4.124898626058513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2931005284247098 the lambda is 2.0 the regulation term lambda/alpha is 6.8235973873849565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30738956501547055 the lambda is 2.0 the regulation term lambda/alpha is 6.506401737805714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3174382719447074 the lambda is 2.0 the regulation term lambda/alpha is 6.300437523640399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2564182568295119 the lambda is 2.0 the regulation term lambda/alpha is 7.799756634839638 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3062407578439267 the lambda is 2.0 the regulation term lambda/alpha is 6.530809334723776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32287513078362545 the lambda is 2.0 the regulation term lambda/alpha is 6.194345148683188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23267765594621387 the lambda is 2.0 the regulation term lambda/alpha is 8.595582553325718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31207665955965197 the lambda is 2.0 the regulation term lambda/alpha is 6.408681773324703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25810594507566914 the lambda is 2.0 the regulation term lambda/alpha is 7.748756036648665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4415145481475152 the lambda is 2.0 the regulation term lambda/alpha is 4.529862058660356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3715502464465298 the lambda is 2.0 the regulation term lambda/alpha is 5.382852034490098 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25430834704229605 the lambda is 2.0 the regulation term lambda/alpha is 7.864468560551668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30491290353888634 the lambda is 2.0 the regulation term lambda/alpha is 6.55925012286315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32393666381081937 the lambda is 2.0 the regulation term lambda/alpha is 6.174046421519023 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29520407195288806 the lambda is 2.0 the regulation term lambda/alpha is 6.774974297506242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37464555175884734 the lambda is 2.0 the regulation term lambda/alpha is 5.338379144262106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2996654469502227 the lambda is 2.0 the regulation term lambda/alpha is 6.674109478935752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34004206388400915 the lambda is 2.0 the regulation term lambda/alpha is 5.8816252823421715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4443262510167158 the lambda is 2.0 the regulation term lambda/alpha is 4.501197026787326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34051200528263165 the lambda is 2.0 the regulation term lambda/alpha is 5.87350803781488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33599601845064647 the lambda is 2.0 the regulation term lambda/alpha is 5.9524514880338515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2998990175922208 the lambda is 2.0 the regulation term lambda/alpha is 6.66891147579364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44834419539893394 the lambda is 2.0 the regulation term lambda/alpha is 4.460858466608254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28654778820075544 the lambda is 2.0 the regulation term lambda/alpha is 6.979638588586137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2158664541061365 the lambda is 2.0 the regulation term lambda/alpha is 9.264987504805386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3845721082925831 the lambda is 2.0 the regulation term lambda/alpha is 5.200585161725761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32855981219182856 the lambda is 2.0 the regulation term lambda/alpha is 6.087171728818455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3201640341565929 the lambda is 2.0 the regulation term lambda/alpha is 6.2467978493230625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3248810836661971 the lambda is 2.0 the regulation term lambda/alpha is 6.156098648251628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3779144406460633 the lambda is 2.0 the regulation term lambda/alpha is 5.292203167946961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3089415075110654 the lambda is 2.0 the regulation term lambda/alpha is 6.47371735870864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.347454463894769 the lambda is 2.0 the regulation term lambda/alpha is 5.756149964461891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27151105403608944 the lambda is 2.0 the regulation term lambda/alpha is 7.366182592824226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3022812661415412 the lambda is 2.0 the regulation term lambda/alpha is 6.616354448719005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3139274008625175 the lambda is 2.0 the regulation term lambda/alpha is 6.370899751041124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3163836945330705 the lambda is 2.0 the regulation term lambda/alpha is 6.321438286987785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3456722526194196 the lambda is 2.0 the regulation term lambda/alpha is 5.785827427120604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24478219029432527 the lambda is 2.0 the regulation term lambda/alpha is 8.17052906338981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3142488991194828 the lambda is 2.0 the regulation term lambda/alpha is 6.364381882017559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3125352418323674 the lambda is 2.0 the regulation term lambda/alpha is 6.399278328658781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2933765001473123 the lambda is 2.0 the regulation term lambda/alpha is 6.817178604952154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32877285694644176 the lambda is 2.0 the regulation term lambda/alpha is 6.083227242587751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2702964325703374 the lambda is 2.0 the regulation term lambda/alpha is 7.399283745557957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3209270908639332 the lambda is 2.0 the regulation term lambda/alpha is 6.231945064581541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3449658082655739 the lambda is 2.0 the regulation term lambda/alpha is 5.797676036519795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2321603400318672 the lambda is 2.0 the regulation term lambda/alpha is 8.614735831819821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.43566364656993395 the lambda is 2.0 the regulation term lambda/alpha is 4.590697469817359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3494120521041014 the lambda is 2.0 the regulation term lambda/alpha is 5.723901015881769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39563865135707893 the lambda is 2.0 the regulation term lambda/alpha is 5.055117828199561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 6 iterations the alpha is 0.2693009833260354 the lambda is 2.0 the regulation term lambda/alpha is 7.426634597834551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2836910036638702 the lambda is 2.0 the regulation term lambda/alpha is 7.04992394601871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4953947179726098 the lambda is 2.0 the regulation term lambda/alpha is 4.037184748729152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29041998454407875 the lambda is 2.0 the regulation term lambda/alpha is 6.886578425860526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3210751242190889 the lambda is 2.0 the regulation term lambda/alpha is 6.229071793912254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3168141242177198 the lambda is 2.0 the regulation term lambda/alpha is 6.312849860903195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3520629866237503 the lambda is 2.0 the regulation term lambda/alpha is 5.680801663304072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3993475932430664 the lambda is 2.0 the regulation term lambda/alpha is 5.008168407271914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28522405371393544 the lambda is 2.0 the regulation term lambda/alpha is 7.012031327504705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3423719310314442 the lambda is 2.0 the regulation term lambda/alpha is 5.841600372947383 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3713008301010583 the lambda is 2.0 the regulation term lambda/alpha is 5.386467893044173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3775876631281728 the lambda is 2.0 the regulation term lambda/alpha is 5.2967832249357585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2702370206730528 the lambda is 2.0 the regulation term lambda/alpha is 7.400910485982997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.40350409622718786 the lambda is 2.0 the regulation term lambda/alpha is 4.95657917404121 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3107848019286428 the lambda is 2.0 the regulation term lambda/alpha is 6.43532112120208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44439685979985205 the lambda is 2.0 the regulation term lambda/alpha is 4.500481846115569 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3602643508840938 the lambda is 2.0 the regulation term lambda/alpha is 5.55147906000683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2799335463808523 the lambda is 2.0 the regulation term lambda/alpha is 7.144552790679044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2500763871294847 the lambda is 2.0 the regulation term lambda/alpha is 7.997556358507525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4210527318278628 the lambda is 2.0 the regulation term lambda/alpha is 4.749998869067192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3054775550351237 the lambda is 2.0 the regulation term lambda/alpha is 6.547125859279713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3778933326333152 the lambda is 2.0 the regulation term lambda/alpha is 5.292498774887566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3215470246344182 the lambda is 2.0 the regulation term lambda/alpha is 6.219930046853624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29012612958148526 the lambda is 2.0 the regulation term lambda/alpha is 6.893553513725405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3601779218027144 the lambda is 2.0 the regulation term lambda/alpha is 5.552811205056288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2332244779997696 the lambda is 2.0 the regulation term lambda/alpha is 8.575429205171062 200 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41324693800379647 the lambda is 2.0 the regulation term lambda/alpha is 4.839721280600575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35981919041392574 the lambda is 2.0 the regulation term lambda/alpha is 5.558347229060399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26029141149463825 the lambda is 2.0 the regulation term lambda/alpha is 7.683695702887984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28268100290801823 the lambda is 2.0 the regulation term lambda/alpha is 7.0751128637065905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37444114151268876 the lambda is 2.0 the regulation term lambda/alpha is 5.341293405741382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29887314805942894 the lambda is 2.0 the regulation term lambda/alpha is 6.691802234446011 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2910962786185573 the lambda is 2.0 the regulation term lambda/alpha is 6.870579072639854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3556795077929398 the lambda is 2.0 the regulation term lambda/alpha is 5.62303972025374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.366249199992701 the lambda is 2.0 the regulation term lambda/alpha is 5.460762781297156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37650705109978283 the lambda is 2.0 the regulation term lambda/alpha is 5.3119855103854485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24962733216119248 the lambda is 2.0 the regulation term lambda/alpha is 8.011943174189495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3223903997432412 the lambda is 2.0 the regulation term lambda/alpha is 6.203658674677794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3873169851899587 the lambda is 2.0 the regulation term lambda/alpha is 5.163729132661468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27476474379324417 the lambda is 2.0 the regulation term lambda/alpha is 7.278954251514038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3289987480756311 the lambda is 2.0 the regulation term lambda/alpha is 6.079050487876734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26047668801862667 the lambda is 2.0 the regulation term lambda/alpha is 7.678230306187632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3186487978652022 the lambda is 2.0 the regulation term lambda/alpha is 6.27650257399075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2898531599426206 the lambda is 2.0 the regulation term lambda/alpha is 6.900045527866318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32276190008386574 the lambda is 2.0 the regulation term lambda/alpha is 6.196518236756955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29606561145955407 the lambda is 2.0 the regulation term lambda/alpha is 6.755259383689763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27650102996831233 the lambda is 2.0 the regulation term lambda/alpha is 7.233246112064048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4300573176429202 the lambda is 2.0 the regulation term lambda/alpha is 4.650542888007814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43376985842799687 the lambda is 2.0 the regulation term lambda/alpha is 4.610739914589957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3762928663410275 the lambda is 2.0 the regulation term lambda/alpha is 5.315009076434194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2991619824729231 the lambda is 2.0 the regulation term lambda/alpha is 6.685341444349529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.43188952551185184 the lambda is 2.0 the regulation term lambda/alpha is 4.630813858311821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3659791937780575 the lambda is 2.0 the regulation term lambda/alpha is 5.464791534605297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3069863852100351 the lambda is 2.0 the regulation term lambda/alpha is 6.514946904344415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.372408145617796 the lambda is 2.0 the regulation term lambda/alpha is 5.37045181082749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29567587819308744 the lambda is 2.0 the regulation term lambda/alpha is 6.764163557143221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31550849807024983 the lambda is 2.0 the regulation term lambda/alpha is 6.338973473718252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2667051432416649 the lambda is 2.0 the regulation term lambda/alpha is 7.498918002446525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37497388093479767 the lambda is 2.0 the regulation term lambda/alpha is 5.3337048303579575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3728631875193245 the lambda is 2.0 the regulation term lambda/alpha is 5.363897716226934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3466302990445729 the lambda is 2.0 the regulation term lambda/alpha is 5.769836063127366 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4255229751712283 the lambda is 2.0 the regulation term lambda/alpha is 4.700098741308175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28963554880096787 the lambda is 2.0 the regulation term lambda/alpha is 6.905229721557289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27289902012574685 the lambda is 2.0 the regulation term lambda/alpha is 7.328718142990901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3029631098350491 the lambda is 2.0 the regulation term lambda/alpha is 6.601463792370357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.517447441585183 the lambda is 2.0 the regulation term lambda/alpha is 3.865126850126202 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4156287865765915 the lambda is 2.0 the regulation term lambda/alpha is 4.811986235297595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26629682625094797 the lambda is 2.0 the regulation term lambda/alpha is 7.510416207947128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28428289740049384 the lambda is 2.0 the regulation term lambda/alpha is 7.035245589123244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2545176855688178 the lambda is 2.0 the regulation term lambda/alpha is 7.858000105298103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3870337950336659 the lambda is 2.0 the regulation term lambda/alpha is 5.167507400293122 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3129511729521046 the lambda is 2.0 the regulation term lambda/alpha is 6.390773299022236 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3423047184432215 the lambda is 2.0 the regulation term lambda/alpha is 5.842747389214684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4363556094558349 the lambda is 2.0 the regulation term lambda/alpha is 4.5834176452873745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4496413491919123 the lambda is 2.0 the regulation term lambda/alpha is 4.447989500063474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29031057241210606 the lambda is 2.0 the regulation term lambda/alpha is 6.889173836772743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3822406405950051 the lambda is 2.0 the regulation term lambda/alpha is 5.232306007249128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3784745453407284 the lambda is 2.0 the regulation term lambda/alpha is 5.284371233472161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3203721792395956 the lambda is 2.0 the regulation term lambda/alpha is 6.242739318835382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3307543160151208 the lambda is 2.0 the regulation term lambda/alpha is 6.046784284165072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2906331815475773 the lambda is 2.0 the regulation term lambda/alpha is 6.881526704384908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25269950692254867 the lambda is 2.0 the regulation term lambda/alpha is 7.914538593116415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28342281832908506 the lambda is 2.0 the regulation term lambda/alpha is 7.056594849317249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4009366988839378 the lambda is 2.0 the regulation term lambda/alpha is 4.988318618792627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2577949591076751 the lambda is 2.0 the regulation term lambda/alpha is 7.7581035987776845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3299015471943267 the lambda is 2.0 the regulation term lambda/alpha is 6.062414732544164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2754831525745276 the lambda is 2.0 the regulation term lambda/alpha is 7.259972093788682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2777239719686249 the lambda is 2.0 the regulation term lambda/alpha is 7.201394916769894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41136391403876865 the lambda is 2.0 the regulation term lambda/alpha is 4.861875171217648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3140680233495852 the lambda is 2.0 the regulation term lambda/alpha is 6.368047210504537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4093302470294906 the lambda is 2.0 the regulation term lambda/alpha is 4.886030325181193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3234564781968665 the lambda is 2.0 the regulation term lambda/alpha is 6.183212069670568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31562018956344434 the lambda is 2.0 the regulation term lambda/alpha is 6.336730241390247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3756081801651174 the lambda is 2.0 the regulation term lambda/alpha is 5.324697665319216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3184025721135813 the lambda is 2.0 the regulation term lambda/alpha is 6.281356292833449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3384209361914156 the lambda is 2.0 the regulation term lambda/alpha is 5.909799856084471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3015724109721953 the lambda is 2.0 the regulation term lambda/alpha is 6.631906392075097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3154854209097105 the lambda is 2.0 the regulation term lambda/alpha is 6.3394371576123785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3063169987747868 the lambda is 2.0 the regulation term lambda/alpha is 6.529183845492226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41308355401443186 the lambda is 2.0 the regulation term lambda/alpha is 4.841635501010835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3271496135207501 the lambda is 2.0 the regulation term lambda/alpha is 6.1134108595642465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2757855940595017 the lambda is 2.0 the regulation term lambda/alpha is 7.252010413453623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2411966551429048 the lambda is 2.0 the regulation term lambda/alpha is 8.291988953225886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3737627254147177 the lambda is 2.0 the regulation term lambda/alpha is 5.35098837847153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3472639553315078 the lambda is 2.0 the regulation term lambda/alpha is 5.759307780995424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3143747669376277 the lambda is 2.0 the regulation term lambda/alpha is 6.3618337421998055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.364658943456219 the lambda is 2.0 the regulation term lambda/alpha is 5.484576851575615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3628034640330149 the lambda is 2.0 the regulation term lambda/alpha is 5.512626527231839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3361247592780425 the lambda is 2.0 the regulation term lambda/alpha is 5.950171609778974 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.39861787617295696 the lambda is 2.0 the regulation term lambda/alpha is 5.0173364506418086 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4496249540546019 the lambda is 2.0 the regulation term lambda/alpha is 4.448151691681068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26262661792142783 the lambda is 2.0 the regulation term lambda/alpha is 7.615374312889932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3012884624483353 the lambda is 2.0 the regulation term lambda/alpha is 6.638156614918364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3685546808458434 the lambda is 2.0 the regulation term lambda/alpha is 5.42660317163777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28096527027605883 the lambda is 2.0 the regulation term lambda/alpha is 7.118317498938305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3204586639305427 the lambda is 2.0 the regulation term lambda/alpha is 6.241054541853445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22934347749917355 the lambda is 2.0 the regulation term lambda/alpha is 8.72054449426061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32428721907728864 the lambda is 2.0 the regulation term lambda/alpha is 6.16737226243669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3007066202918663 the lambda is 2.0 the regulation term lambda/alpha is 6.65100089269334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29636979852634904 the lambda is 2.0 the regulation term lambda/alpha is 6.7483259426050735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3228130943920515 the lambda is 2.0 the regulation term lambda/alpha is 6.1955355428396315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28529145324474897 the lambda is 2.0 the regulation term lambda/alpha is 7.010374749236592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23601859208537648 the lambda is 2.0 the regulation term lambda/alpha is 8.473908696466284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3383692576144378 the lambda is 2.0 the regulation term lambda/alpha is 5.9107024500403735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3291171038257659 the lambda is 2.0 the regulation term lambda/alpha is 6.076864364541798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3218150643368996 the lambda is 2.0 the regulation term lambda/alpha is 6.214749468366258 210 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30480897582040134 the lambda is 2.0 the regulation term lambda/alpha is 6.561486565862923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30942690601248074 the lambda is 2.0 the regulation term lambda/alpha is 6.463562027535285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34603533254505264 the lambda is 2.0 the regulation term lambda/alpha is 5.779756608350411 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2953921860012205 the lambda is 2.0 the regulation term lambda/alpha is 6.770659803410427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3632346872029839 the lambda is 2.0 the regulation term lambda/alpha is 5.506082074376212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31725612207734744 the lambda is 2.0 the regulation term lambda/alpha is 6.30405486552722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3398508771361349 the lambda is 2.0 the regulation term lambda/alpha is 5.884934053587436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2862579411403264 the lambda is 2.0 the regulation term lambda/alpha is 6.986705738303277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2709336245123448 the lambda is 2.0 the regulation term lambda/alpha is 7.381881830281542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24228636807826714 the lambda is 2.0 the regulation term lambda/alpha is 8.254694706364695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3987441589937161 the lambda is 2.0 the regulation term lambda/alpha is 5.015747453322616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3409647834110334 the lambda is 2.0 the regulation term lambda/alpha is 5.865708417132915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2704208470819067 the lambda is 2.0 the regulation term lambda/alpha is 7.395879502567447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2802006850890968 the lambda is 2.0 the regulation term lambda/alpha is 7.137741291974536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32803028530935785 the lambda is 2.0 the regulation term lambda/alpha is 6.096998019904918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22761878385770623 the lambda is 2.0 the regulation term lambda/alpha is 8.786621060458181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26792187343281365 the lambda is 2.0 the regulation term lambda/alpha is 7.4648627018560205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40560961762836506 the lambda is 2.0 the regulation term lambda/alpha is 4.93084954862307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43780487399678225 the lambda is 2.0 the regulation term lambda/alpha is 4.568245167628489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3318176916637775 the lambda is 2.0 the regulation term lambda/alpha is 6.027406163823686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2986916017563867 the lambda is 2.0 the regulation term lambda/alpha is 6.695869546513741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3224661638767995 the lambda is 2.0 the regulation term lambda/alpha is 6.202201111444717 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2601561201370189 the lambda is 2.0 the regulation term lambda/alpha is 7.687691525175887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.5250311658711798 the lambda is 2.0 the regulation term lambda/alpha is 3.8092976760368438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37241457925086785 the lambda is 2.0 the regulation term lambda/alpha is 5.3703590338034255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37708734134753924 the lambda is 2.0 the regulation term lambda/alpha is 5.303811029171403 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26063317850557044 the lambda is 2.0 the regulation term lambda/alpha is 7.673620110331634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3295878240304871 the lambda is 2.0 the regulation term lambda/alpha is 6.068185333858082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30163290291198824 the lambda is 2.0 the regulation term lambda/alpha is 6.6305763750964815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3622048519835258 the lambda is 2.0 the regulation term lambda/alpha is 5.521737185593985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33424765269239937 the lambda is 2.0 the regulation term lambda/alpha is 5.983587270964488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29951753185518243 the lambda is 2.0 the regulation term lambda/alpha is 6.677405451401108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3190628329717644 the lambda is 2.0 the regulation term lambda/alpha is 6.268357807056113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25569826223889075 the lambda is 2.0 the regulation term lambda/alpha is 7.821719171996029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25914782618864085 the lambda is 2.0 the regulation term lambda/alpha is 7.717602842418384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38221741783184726 the lambda is 2.0 the regulation term lambda/alpha is 5.232623911660353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2497999911370914 the lambda is 2.0 the regulation term lambda/alpha is 8.00640540816669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3259653393657639 the lambda is 2.0 the regulation term lambda/alpha is 6.135621670363582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32521082501828386 the lambda is 2.0 the regulation term lambda/alpha is 6.149856788707931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3541667195656679 the lambda is 2.0 the regulation term lambda/alpha is 5.647057980074182 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3278176150361213 the lambda is 2.0 the regulation term lambda/alpha is 6.100953421248049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36142582301893267 the lambda is 2.0 the regulation term lambda/alpha is 5.533638917369868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30006509896055095 the lambda is 2.0 the regulation term lambda/alpha is 6.665220336947406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30373971519983967 the lambda is 2.0 the regulation term lambda/alpha is 6.584585090178736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.47054521281642603 the lambda is 2.0 the regulation term lambda/alpha is 4.250388582276918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3552240513789824 the lambda is 2.0 the regulation term lambda/alpha is 5.630249393969764 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26937923519917767 the lambda is 2.0 the regulation term lambda/alpha is 7.424477237531727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.20532860961787652 the lambda is 2.0 the regulation term lambda/alpha is 9.740483821139525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3188429280915953 the lambda is 2.0 the regulation term lambda/alpha is 6.272681072058941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3439834949020921 the lambda is 2.0 the regulation term lambda/alpha is 5.81423245487188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31651833577031907 the lambda is 2.0 the regulation term lambda/alpha is 6.318749260236526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2729401830760043 the lambda is 2.0 the regulation term lambda/alpha is 7.327612876419408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4053248510088497 the lambda is 2.0 the regulation term lambda/alpha is 4.934313785651235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3537266025089632 the lambda is 2.0 the regulation term lambda/alpha is 5.65408421592866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27111437699185337 the lambda is 2.0 the regulation term lambda/alpha is 7.376960315387839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2583348128025572 the lambda is 2.0 the regulation term lambda/alpha is 7.741891146233476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4141466824111656 the lambda is 2.0 the regulation term lambda/alpha is 4.829206860612724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35688446157659365 the lambda is 2.0 the regulation term lambda/alpha is 5.604054575995501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3076803427561456 the lambda is 2.0 the regulation term lambda/alpha is 6.5002527691056144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2713931636844392 the lambda is 2.0 the regulation term lambda/alpha is 7.369382385495488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35924166943443525 the lambda is 2.0 the regulation term lambda/alpha is 5.567282891065112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27415072505381216 the lambda is 2.0 the regulation term lambda/alpha is 7.295257014576293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.263172634893043 the lambda is 2.0 the regulation term lambda/alpha is 7.5995743281319035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4070137907295591 the lambda is 2.0 the regulation term lambda/alpha is 4.913838414209662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2917944089591088 the lambda is 2.0 the regulation term lambda/alpha is 6.854140924544836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27665301657701397 the lambda is 2.0 the regulation term lambda/alpha is 7.229272338128455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3896863924777392 the lambda is 2.0 the regulation term lambda/alpha is 5.1323321486373175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29532624278195735 the lambda is 2.0 the regulation term lambda/alpha is 6.7721716199688435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.330769879345338 the lambda is 2.0 the regulation term lambda/alpha is 6.046499771860768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2802001441092002 the lambda is 2.0 the regulation term lambda/alpha is 7.137755072747414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.4248395502732578 the lambda is 2.0 the regulation term lambda/alpha is 4.7076596298852005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3234311387711849 the lambda is 2.0 the regulation term lambda/alpha is 6.183696497494396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36233727943370764 the lambda is 2.0 the regulation term lambda/alpha is 5.519719094667197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35176443524599044 the lambda is 2.0 the regulation term lambda/alpha is 5.68562310343111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34285254708263924 the lambda is 2.0 the regulation term lambda/alpha is 5.833411526378223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3262364501946878 the lambda is 2.0 the regulation term lambda/alpha is 6.1305228119251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2897982102840979 the lambda is 2.0 the regulation term lambda/alpha is 6.901353869781803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38090338737947704 the lambda is 2.0 the regulation term lambda/alpha is 5.250675279523018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3861320206907632 the lambda is 2.0 the regulation term lambda/alpha is 5.179575618779659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.357146219053462 the lambda is 2.0 the regulation term lambda/alpha is 5.599947285737934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.42935535366801275 the lambda is 2.0 the regulation term lambda/alpha is 4.658146178716209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33111134777111434 the lambda is 2.0 the regulation term lambda/alpha is 6.040264139127391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3518168280952312 the lambda is 2.0 the regulation term lambda/alpha is 5.684776395797168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4251486112393462 the lambda is 2.0 the regulation term lambda/alpha is 4.704237405762237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.297700315863215 the lambda is 2.0 the regulation term lambda/alpha is 6.718165528984337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33397002264365405 the lambda is 2.0 the regulation term lambda/alpha is 5.9885614408392565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3252120902613081 the lambda is 2.0 the regulation term lambda/alpha is 6.149832862588223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31961857925872766 the lambda is 2.0 the regulation term lambda/alpha is 6.257458513952727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3030821500253612 the lambda is 2.0 the regulation term lambda/alpha is 6.598870965619865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2691605871676609 the lambda is 2.0 the regulation term lambda/alpha is 7.430508385517061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3141918431566755 the lambda is 2.0 the regulation term lambda/alpha is 6.3655376279220475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3192899247977944 the lambda is 2.0 the regulation term lambda/alpha is 6.2638994990731245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31444480024260907 the lambda is 2.0 the regulation term lambda/alpha is 6.3604168313704195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3137253207282291 the lambda is 2.0 the regulation term lambda/alpha is 6.375003443641517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27055354422327 the lambda is 2.0 the regulation term lambda/alpha is 7.392252079867532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2803051838851017 the lambda is 2.0 the regulation term lambda/alpha is 7.1350803159595095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2643518495995467 the lambda is 2.0 the regulation term lambda/alpha is 7.565674320152097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3158956476738851 the lambda is 2.0 the regulation term lambda/alpha is 6.331204670678781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23347783430672636 the lambda is 2.0 the regulation term lambda/alpha is 8.566123657685397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23430656188643748 the lambda is 2.0 the regulation term lambda/alpha is 8.535825816817498 220 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29035286720339964 the lambda is 2.0 the regulation term lambda/alpha is 6.888170312432109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3290658473407392 the lambda is 2.0 the regulation term lambda/alpha is 6.077810918885945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27914889993285213 the lambda is 2.0 the regulation term lambda/alpha is 7.164635076409364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3582803961249829 the lambda is 2.0 the regulation term lambda/alpha is 5.582220019937451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23707098108387892 the lambda is 2.0 the regulation term lambda/alpha is 8.43629191078588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4013105486722268 the lambda is 2.0 the regulation term lambda/alpha is 4.983671639375505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30606008236370547 the lambda is 2.0 the regulation term lambda/alpha is 6.534664646738567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3064834283298904 the lambda is 2.0 the regulation term lambda/alpha is 6.525638305792033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3995446504757926 the lambda is 2.0 the regulation term lambda/alpha is 5.005698355911726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2600959696010441 the lambda is 2.0 the regulation term lambda/alpha is 7.689469402650719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44902294407259746 the lambda is 2.0 the regulation term lambda/alpha is 4.454115377401834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3632697299942689 the lambda is 2.0 the regulation term lambda/alpha is 5.505550930520837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28534439261483596 the lambda is 2.0 the regulation term lambda/alpha is 7.009074128537873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31948573185103685 the lambda is 2.0 the regulation term lambda/alpha is 6.260060467841232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28053854360862823 the lambda is 2.0 the regulation term lambda/alpha is 7.129145158713542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3374730591517354 the lambda is 2.0 the regulation term lambda/alpha is 5.926398999159087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34719086205690636 the lambda is 2.0 the regulation term lambda/alpha is 5.760520274500167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24865721052009065 the lambda is 2.0 the regulation term lambda/alpha is 8.043201304385287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3310123204158685 the lambda is 2.0 the regulation term lambda/alpha is 6.042071175741413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22845756691480626 the lambda is 2.0 the regulation term lambda/alpha is 8.754360938921392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2429477683802087 the lambda is 2.0 the regulation term lambda/alpha is 8.232222149371784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3706098744286493 the lambda is 2.0 the regulation term lambda/alpha is 5.396510287491125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32352647721833266 the lambda is 2.0 the regulation term lambda/alpha is 6.1818742539897125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29092718072430185 the lambda is 2.0 the regulation term lambda/alpha is 6.874572513371677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3247531939594184 the lambda is 2.0 the regulation term lambda/alpha is 6.158522955897157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30032667593983225 the lambda is 2.0 the regulation term lambda/alpha is 6.659415097714071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4137000555026529 the lambda is 2.0 the regulation term lambda/alpha is 4.834420429482333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3681649326976607 the lambda is 2.0 the regulation term lambda/alpha is 5.432347902733072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31408245969252785 the lambda is 2.0 the regulation term lambda/alpha is 6.367754512486648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3057118708702239 the lambda is 2.0 the regulation term lambda/alpha is 6.542107751023543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2915285458843938 the lambda is 2.0 the regulation term lambda/alpha is 6.860391643407379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3170636611553231 the lambda is 2.0 the regulation term lambda/alpha is 6.30788149203967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34083081740384524 the lambda is 2.0 the regulation term lambda/alpha is 5.868013976066696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3282044435845553 the lambda is 2.0 the regulation term lambda/alpha is 6.093762711304486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3128019450955819 the lambda is 2.0 the regulation term lambda/alpha is 6.393822133647111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3439698046419816 the lambda is 2.0 the regulation term lambda/alpha is 5.814463865750323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26696781203577935 the lambda is 2.0 the regulation term lambda/alpha is 7.491539840510652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3614635219923962 the lambda is 2.0 the regulation term lambda/alpha is 5.533061784425573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2728731485700832 the lambda is 2.0 the regulation term lambda/alpha is 7.329412990909698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38252432312334367 the lambda is 2.0 the regulation term lambda/alpha is 5.228425695050787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3231136235800316 the lambda is 2.0 the regulation term lambda/alpha is 6.189773052093616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42395403405591153 the lambda is 2.0 the regulation term lambda/alpha is 4.717492556601638 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24422207608404672 the lambda is 2.0 the regulation term lambda/alpha is 8.189267866643304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3102011487037827 the lambda is 2.0 the regulation term lambda/alpha is 6.447429380443205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34921035807514345 the lambda is 2.0 the regulation term lambda/alpha is 5.72720697926617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3527482165375183 the lambda is 2.0 the regulation term lambda/alpha is 5.66976644029972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3504900227739927 the lambda is 2.0 the regulation term lambda/alpha is 5.706296527846285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4808018587359643 the lambda is 2.0 the regulation term lambda/alpha is 4.159717695888347 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.333785827603558 the lambda is 2.0 the regulation term lambda/alpha is 5.991866144704703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26355042668346385 the lambda is 2.0 the regulation term lambda/alpha is 7.588680561697939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37220222097989447 the lambda is 2.0 the regulation term lambda/alpha is 5.373423067531979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25398855098297984 the lambda is 2.0 the regulation term lambda/alpha is 7.874370684267666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30408670709915914 the lambda is 2.0 the regulation term lambda/alpha is 6.577071451360165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2726557401690409 the lambda is 2.0 the regulation term lambda/alpha is 7.335257268965037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2675934513040026 the lambda is 2.0 the regulation term lambda/alpha is 7.474024458572707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28166458608965583 the lambda is 2.0 the regulation term lambda/alpha is 7.10064416604857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2684569571546272 the lambda is 2.0 the regulation term lambda/alpha is 7.4499838677975845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3139623832021173 the lambda is 2.0 the regulation term lambda/alpha is 6.370189892183595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3634568848321113 the lambda is 2.0 the regulation term lambda/alpha is 5.50271595742049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32823983679214064 the lambda is 2.0 the regulation term lambda/alpha is 6.093105637468706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3472182476089511 the lambda is 2.0 the regulation term lambda/alpha is 5.76006593481938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33043585324670216 the lambda is 2.0 the regulation term lambda/alpha is 6.052611967947702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2893459755970167 the lambda is 2.0 the regulation term lambda/alpha is 6.912140374074106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25321355128842266 the lambda is 2.0 the regulation term lambda/alpha is 7.898471427865651 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.307805453797664 the lambda is 2.0 the regulation term lambda/alpha is 6.497610667141397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2976807712564548 the lambda is 2.0 the regulation term lambda/alpha is 6.7186066186216005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3214714331399932 the lambda is 2.0 the regulation term lambda/alpha is 6.2213926147803225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37642287395193724 the lambda is 2.0 the regulation term lambda/alpha is 5.313173397255784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3861043809404111 the lambda is 2.0 the regulation term lambda/alpha is 5.179946404981784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3595471424972678 the lambda is 2.0 the regulation term lambda/alpha is 5.562552899485769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33757232821262917 the lambda is 2.0 the regulation term lambda/alpha is 5.924656237641153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3150171151705114 the lambda is 2.0 the regulation term lambda/alpha is 6.348861390967429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2582948896366181 the lambda is 2.0 the regulation term lambda/alpha is 7.743087766133112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3576269794235842 the lambda is 2.0 the regulation term lambda/alpha is 5.592419238681486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33813014033875266 the lambda is 2.0 the regulation term lambda/alpha is 5.914882352683254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.307553577195322 the lambda is 2.0 the regulation term lambda/alpha is 6.502932003713402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33477593984992765 the lambda is 2.0 the regulation term lambda/alpha is 5.974144978568513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3848094032514498 the lambda is 2.0 the regulation term lambda/alpha is 5.1973781906080925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3879596843705638 the lambda is 2.0 the regulation term lambda/alpha is 5.155174830201375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25085969781552947 the lambda is 2.0 the regulation term lambda/alpha is 7.972583947983174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41123832209521544 the lambda is 2.0 the regulation term lambda/alpha is 4.863359985057358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27811637872802764 the lambda is 2.0 the regulation term lambda/alpha is 7.191234148621707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3724402801553668 the lambda is 2.0 the regulation term lambda/alpha is 5.369988442618726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2680978509122825 the lambda is 2.0 the regulation term lambda/alpha is 7.459962820270309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2930045540283111 the lambda is 2.0 the regulation term lambda/alpha is 6.825832474285547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2771933281638503 the lambda is 2.0 the regulation term lambda/alpha is 7.215180874836174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28548465005906526 the lambda is 2.0 the regulation term lambda/alpha is 7.005630599004922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3168107235436597 the lambda is 2.0 the regulation term lambda/alpha is 6.312917623586627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.45615254929890137 the lambda is 2.0 the regulation term lambda/alpha is 4.384498131324632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27815818466124725 the lambda is 2.0 the regulation term lambda/alpha is 7.190153338236961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35408001848837545 the lambda is 2.0 the regulation term lambda/alpha is 5.648440735340903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3034588583359391 the lambda is 2.0 the regulation term lambda/alpha is 6.590679247154925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.36657674387673583 the lambda is 2.0 the regulation term lambda/alpha is 5.455883477083082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2581779671671858 the lambda is 2.0 the regulation term lambda/alpha is 7.746594420680676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2939935559974957 the lambda is 2.0 the regulation term lambda/alpha is 6.8028701963012965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3648572723071453 the lambda is 2.0 the regulation term lambda/alpha is 5.481595549276467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30381287034160204 the lambda is 2.0 the regulation term lambda/alpha is 6.582999587052497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39672964759517876 the lambda is 2.0 the regulation term lambda/alpha is 5.041216385322408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2870888524439744 the lambda is 2.0 the regulation term lambda/alpha is 6.966484358323531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28433917745766696 the lambda is 2.0 the regulation term lambda/alpha is 7.033853083076336 230 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2918136628405578 the lambda is 2.0 the regulation term lambda/alpha is 6.853688687951418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34153766310701583 the lambda is 2.0 the regulation term lambda/alpha is 5.855869545413295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26679519693257664 the lambda is 2.0 the regulation term lambda/alpha is 7.496386827778731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28886899737740984 the lambda is 2.0 the regulation term lambda/alpha is 6.923553645969777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28310569094061494 the lambda is 2.0 the regulation term lambda/alpha is 7.06449945726992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27789676450115275 the lambda is 2.0 the regulation term lambda/alpha is 7.196917184660866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29450784934201313 the lambda is 2.0 the regulation term lambda/alpha is 6.790990476037846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4069326965571815 the lambda is 2.0 the regulation term lambda/alpha is 4.914817651471177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2551698247700127 the lambda is 2.0 the regulation term lambda/alpha is 7.837917362692165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2791368594408754 the lambda is 2.0 the regulation term lambda/alpha is 7.164944120981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42387536947493776 the lambda is 2.0 the regulation term lambda/alpha is 4.718368048790938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2986158101308887 the lambda is 2.0 the regulation term lambda/alpha is 6.697569023968837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3083459075904638 the lambda is 2.0 the regulation term lambda/alpha is 6.486221969439408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34905191884419284 the lambda is 2.0 the regulation term lambda/alpha is 5.729806633415887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29077401412310205 the lambda is 2.0 the regulation term lambda/alpha is 6.878193727288437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3410201856109104 the lambda is 2.0 the regulation term lambda/alpha is 5.864755473102449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37995128950160956 the lambda is 2.0 the regulation term lambda/alpha is 5.263832641872183 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34889085575116513 the lambda is 2.0 the regulation term lambda/alpha is 5.732451759717182 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3334594281175631 the lambda is 2.0 the regulation term lambda/alpha is 5.997731152153504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3761712594992158 the lambda is 2.0 the regulation term lambda/alpha is 5.316727287094003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2852709351062478 the lambda is 2.0 the regulation term lambda/alpha is 7.010878971091498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2970963512526559 the lambda is 2.0 the regulation term lambda/alpha is 6.731822829756551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3407525224206486 the lambda is 2.0 the regulation term lambda/alpha is 5.869362274392972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3374862506447556 the lambda is 2.0 the regulation term lambda/alpha is 5.926167351052288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2649080564386341 the lambda is 2.0 the regulation term lambda/alpha is 7.549789262310713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2867959748810421 the lambda is 2.0 the regulation term lambda/alpha is 6.973598568911453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26118617399439853 the lambda is 2.0 the regulation term lambda/alpha is 7.657373165713176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4039126523008724 the lambda is 2.0 the regulation term lambda/alpha is 4.951565613523318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3210975057542427 the lambda is 2.0 the regulation term lambda/alpha is 6.228637607452278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3219841796336106 the lambda is 2.0 the regulation term lambda/alpha is 6.211485304265018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25495839683911603 the lambda is 2.0 the regulation term lambda/alpha is 7.844417068805312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2595392564905553 the lambda is 2.0 the regulation term lambda/alpha is 7.705963356155258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36159499120675154 the lambda is 2.0 the regulation term lambda/alpha is 5.531050066057046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28273369071076365 the lambda is 2.0 the regulation term lambda/alpha is 7.0737944069283145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3174107902237023 the lambda is 2.0 the regulation term lambda/alpha is 6.300983021372574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3584404728903916 the lambda is 2.0 the regulation term lambda/alpha is 5.579727043300673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3521953261891623 the lambda is 2.0 the regulation term lambda/alpha is 5.678667067051907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3086181145807351 the lambda is 2.0 the regulation term lambda/alpha is 6.480500999486198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41272617087716146 the lambda is 2.0 the regulation term lambda/alpha is 4.845827914787731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3769012681210161 the lambda is 2.0 the regulation term lambda/alpha is 5.306429479451464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28979136491973123 the lambda is 2.0 the regulation term lambda/alpha is 6.901516891484936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3122512199544115 the lambda is 2.0 the regulation term lambda/alpha is 6.405099074687358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3066209519601567 the lambda is 2.0 the regulation term lambda/alpha is 6.522711469044967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2662246674253514 the lambda is 2.0 the regulation term lambda/alpha is 7.5124518675971075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3471729207117999 the lambda is 2.0 the regulation term lambda/alpha is 5.760817969038168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3428286296327044 the lambda is 2.0 the regulation term lambda/alpha is 5.83381849451353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3859646107098826 the lambda is 2.0 the regulation term lambda/alpha is 5.1818222305965165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2944277612483343 the lambda is 2.0 the regulation term lambda/alpha is 6.792837711771022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3007601531666979 the lambda is 2.0 the regulation term lambda/alpha is 6.649817068325169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21262013128280546 the lambda is 2.0 the regulation term lambda/alpha is 9.406447018602417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27554033025791613 the lambda is 2.0 the regulation term lambda/alpha is 7.258465568825894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3658820991743078 the lambda is 2.0 the regulation term lambda/alpha is 5.466241733371032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.386853539696341 the lambda is 2.0 the regulation term lambda/alpha is 5.169915212795756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2806675676216028 the lambda is 2.0 the regulation term lambda/alpha is 7.1258678619269915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24870550237123723 the lambda is 2.0 the regulation term lambda/alpha is 8.041639533228517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.346924873023341 the lambda is 2.0 the regulation term lambda/alpha is 5.764936894177203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30470341852459676 the lambda is 2.0 the regulation term lambda/alpha is 6.563759637762491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30487099993391115 the lambda is 2.0 the regulation term lambda/alpha is 6.560151672128713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2732497050415309 the lambda is 2.0 the regulation term lambda/alpha is 7.319312566855369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25620928561204065 the lambda is 2.0 the regulation term lambda/alpha is 7.806118327141572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3247996348828513 the lambda is 2.0 the regulation term lambda/alpha is 6.157642389965616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30492050836627727 the lambda is 2.0 the regulation term lambda/alpha is 6.559086532800725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25770727605207944 the lambda is 2.0 the regulation term lambda/alpha is 7.760743237982248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35276540489413105 the lambda is 2.0 the regulation term lambda/alpha is 5.669490183143733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28267213826544674 the lambda is 2.0 the regulation term lambda/alpha is 7.075334740355187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25631479568920407 the lambda is 2.0 the regulation term lambda/alpha is 7.802904996655406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3666590045925205 the lambda is 2.0 the regulation term lambda/alpha is 5.454659438195612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3385498637677111 the lambda is 2.0 the regulation term lambda/alpha is 5.907549268347241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2884671885634815 the lambda is 2.0 the regulation term lambda/alpha is 6.933197532654117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33488233217201224 the lambda is 2.0 the regulation term lambda/alpha is 5.972246989048979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3346461434269437 the lambda is 2.0 the regulation term lambda/alpha is 5.9764621206119415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3863344861486764 the lambda is 2.0 the regulation term lambda/alpha is 5.176861170064748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2842324240262096 the lambda is 2.0 the regulation term lambda/alpha is 7.036494892699421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29245160374602347 the lambda is 2.0 the regulation term lambda/alpha is 6.8387383566440585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24019771025474118 the lambda is 2.0 the regulation term lambda/alpha is 8.326474044564804 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.355036050105115 the lambda is 2.0 the regulation term lambda/alpha is 5.633230764616334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.45297220521299025 the lambda is 2.0 the regulation term lambda/alpha is 4.415281946625374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3684714746847841 the lambda is 2.0 the regulation term lambda/alpha is 5.427828576719373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.45164087057586233 the lambda is 2.0 the regulation term lambda/alpha is 4.428297194294906 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2941822625279647 the lambda is 2.0 the regulation term lambda/alpha is 6.798506418482256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33227446008036887 the lambda is 2.0 the regulation term lambda/alpha is 6.019120456974785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22049066778862125 the lambda is 2.0 the regulation term lambda/alpha is 9.070678682498022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2698058129275863 the lambda is 2.0 the regulation term lambda/alpha is 7.412738733456361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33239894711470064 the lambda is 2.0 the regulation term lambda/alpha is 6.016866230655844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3053214353797877 the lambda is 2.0 the regulation term lambda/alpha is 6.550473593549732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27575339074637073 the lambda is 2.0 the regulation term lambda/alpha is 7.252857325114587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3639289769529278 the lambda is 2.0 the regulation term lambda/alpha is 5.4955777820865555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32356871671438525 the lambda is 2.0 the regulation term lambda/alpha is 6.181067256156917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3152899466827238 the lambda is 2.0 the regulation term lambda/alpha is 6.3433674972599094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25865901586160694 the lambda is 2.0 the regulation term lambda/alpha is 7.732187464403255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37137196625483426 the lambda is 2.0 the regulation term lambda/alpha is 5.3854361172421035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2540553930397067 the lambda is 2.0 the regulation term lambda/alpha is 7.8722989347737125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32828913377358715 the lambda is 2.0 the regulation term lambda/alpha is 6.092190676586178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2634660216429039 the lambda is 2.0 the regulation term lambda/alpha is 7.591111702103114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2660927113781226 the lambda is 2.0 the regulation term lambda/alpha is 7.51617731144076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30949854658876835 the lambda is 2.0 the regulation term lambda/alpha is 6.46206588704084 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33091107364025785 the lambda is 2.0 the regulation term lambda/alpha is 6.043919830178463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2313338386560779 the lambda is 2.0 the regulation term lambda/alpha is 8.645514256015884 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38749907927732347 the lambda is 2.0 the regulation term lambda/alpha is 5.16130258613763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.521768579875631 the lambda is 2.0 the regulation term lambda/alpha is 3.8331169739594535 240 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3672971158145345 the lambda is 2.0 the regulation term lambda/alpha is 5.44518297009959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29842641904923123 the lambda is 2.0 the regulation term lambda/alpha is 6.701819518432318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2861716768702579 the lambda is 2.0 the regulation term lambda/alpha is 6.988811827477752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41089801610054694 the lambda is 2.0 the regulation term lambda/alpha is 4.867387822847505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2994703028440932 the lambda is 2.0 the regulation term lambda/alpha is 6.678458534972722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4208936057486006 the lambda is 2.0 the regulation term lambda/alpha is 4.751794687977746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26479547285964916 the lambda is 2.0 the regulation term lambda/alpha is 7.552999220119106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.38402336515051066 the lambda is 2.0 the regulation term lambda/alpha is 5.208016442479061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2646583317509511 the lambda is 2.0 the regulation term lambda/alpha is 7.556913046221575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3336797016546617 the lambda is 2.0 the regulation term lambda/alpha is 5.99377184192606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.21127773664186603 the lambda is 2.0 the regulation term lambda/alpha is 9.46621272921989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41435229186240924 the lambda is 2.0 the regulation term lambda/alpha is 4.8268105167477255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2584920896675628 the lambda is 2.0 the regulation term lambda/alpha is 7.737180671842324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3464863630053389 the lambda is 2.0 the regulation term lambda/alpha is 5.772232946348836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3886927529356241 the lambda is 2.0 the regulation term lambda/alpha is 5.145452249610743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29706060147349567 the lambda is 2.0 the regulation term lambda/alpha is 6.732632971452608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37123443385623955 the lambda is 2.0 the regulation term lambda/alpha is 5.387431276847825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3608768598330467 the lambda is 2.0 the regulation term lambda/alpha is 5.54205664759238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3135359460569077 the lambda is 2.0 the regulation term lambda/alpha is 6.378853924573592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3131399512041089 the lambda is 2.0 the regulation term lambda/alpha is 6.386920583941627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23868959753968252 the lambda is 2.0 the regulation term lambda/alpha is 8.379083213576147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3387363507227476 the lambda is 2.0 the regulation term lambda/alpha is 5.904296942836762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2680711648158627 the lambda is 2.0 the regulation term lambda/alpha is 7.460705448770644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.379358784506058 the lambda is 2.0 the regulation term lambda/alpha is 5.27205400714284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3190504808969098 the lambda is 2.0 the regulation term lambda/alpha is 6.268600487225817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2492442594147814 the lambda is 2.0 the regulation term lambda/alpha is 8.02425702680553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3337185330570001 the lambda is 2.0 the regulation term lambda/alpha is 5.993074408182161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26756422543265024 the lambda is 2.0 the regulation term lambda/alpha is 7.474840841543776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3238379136493627 the lambda is 2.0 the regulation term lambda/alpha is 6.175929116704696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4324531857541626 the lambda is 2.0 the regulation term lambda/alpha is 4.624778047390645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27488568029752103 the lambda is 2.0 the regulation term lambda/alpha is 7.275751861047512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32054197093215725 the lambda is 2.0 the regulation term lambda/alpha is 6.239432527927209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2951686880254489 the lambda is 2.0 the regulation term lambda/alpha is 6.775786460884915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2810949243485109 the lambda is 2.0 the regulation term lambda/alpha is 7.11503419933806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31147210644808515 the lambda is 2.0 the regulation term lambda/alpha is 6.421120731507146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2780619537246676 the lambda is 2.0 the regulation term lambda/alpha is 7.192641687256385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24598350949189163 the lambda is 2.0 the regulation term lambda/alpha is 8.130626333981652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.49150079970926236 the lambda is 2.0 the regulation term lambda/alpha is 4.069169371002165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2958023564970057 the lambda is 2.0 the regulation term lambda/alpha is 6.761271355930679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34959453057401346 the lambda is 2.0 the regulation term lambda/alpha is 5.720913301235345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3717887891627702 the lambda is 2.0 the regulation term lambda/alpha is 5.379398352768497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24242380694718263 the lambda is 2.0 the regulation term lambda/alpha is 8.250014819855313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2774917490245472 the lambda is 2.0 the regulation term lambda/alpha is 7.207421507235798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31494502246948797 the lambda is 2.0 the regulation term lambda/alpha is 6.350314681330647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3344758529094548 the lambda is 2.0 the regulation term lambda/alpha is 5.9795048958030925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34108816116893337 the lambda is 2.0 the regulation term lambda/alpha is 5.863586684292582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33356810419953054 the lambda is 2.0 the regulation term lambda/alpha is 5.9957770986510734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2661659198309197 the lambda is 2.0 the regulation term lambda/alpha is 7.514110000523313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2690883326835903 the lambda is 2.0 the regulation term lambda/alpha is 7.432503594838935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25487877251760327 the lambda is 2.0 the regulation term lambda/alpha is 7.846867670636908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31262311923824637 the lambda is 2.0 the regulation term lambda/alpha is 6.397479511026898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3558523391218881 the lambda is 2.0 the regulation term lambda/alpha is 5.620308707075694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.314250289333581 the lambda is 2.0 the regulation term lambda/alpha is 6.36435372658312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36986427633626556 the lambda is 2.0 the regulation term lambda/alpha is 5.407388947673555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43268658165821683 the lambda is 2.0 the regulation term lambda/alpha is 4.6222833912141486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2903376040591452 the lambda is 2.0 the regulation term lambda/alpha is 6.888532425832708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25917798835723727 the lambda is 2.0 the regulation term lambda/alpha is 7.716704696555116 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3342168499131881 the lambda is 2.0 the regulation term lambda/alpha is 5.984138742614247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3487500844893929 the lambda is 2.0 the regulation term lambda/alpha is 5.734765635765257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28792402779892917 the lambda is 2.0 the regulation term lambda/alpha is 6.946276819233349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37524975123057713 the lambda is 2.0 the regulation term lambda/alpha is 5.329783679912619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32256252301147476 the lambda is 2.0 the regulation term lambda/alpha is 6.200348327288017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3557710178568708 the lambda is 2.0 the regulation term lambda/alpha is 5.62159338342904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3514048115692795 the lambda is 2.0 the regulation term lambda/alpha is 5.691441705275853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2826622897430081 the lambda is 2.0 the regulation term lambda/alpha is 7.075581259241786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3151737951079148 the lambda is 2.0 the regulation term lambda/alpha is 6.345705230078549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33070614779010127 the lambda is 2.0 the regulation term lambda/alpha is 6.047665014287539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3229635010475848 the lambda is 2.0 the regulation term lambda/alpha is 6.1926502329602995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31136402456626094 the lambda is 2.0 the regulation term lambda/alpha is 6.42334965571587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36150969111414843 the lambda is 2.0 the regulation term lambda/alpha is 5.532355146098947 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3141944929897399 the lambda is 2.0 the regulation term lambda/alpha is 6.365483942665127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3270493285916562 the lambda is 2.0 the regulation term lambda/alpha is 6.115285448260739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24948554732376024 the lambda is 2.0 the regulation term lambda/alpha is 8.016496432174394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28194452959567806 the lambda is 2.0 the regulation term lambda/alpha is 7.093593916747013 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.34801220809422917 the lambda is 2.0 the regulation term lambda/alpha is 5.746924830460178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2762518664665593 the lambda is 2.0 the regulation term lambda/alpha is 7.23977008945242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34542038460554614 the lambda is 2.0 the regulation term lambda/alpha is 5.790046242591925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3177557583425509 the lambda is 2.0 the regulation term lambda/alpha is 6.294142426976684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2565545622043943 the lambda is 2.0 the regulation term lambda/alpha is 7.7956126868896645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33644828247741787 the lambda is 2.0 the regulation term lambda/alpha is 5.944450021480607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3940267184727294 the lambda is 2.0 the regulation term lambda/alpha is 5.0757979249532035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24630521543550546 the lambda is 2.0 the regulation term lambda/alpha is 8.120006701700136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2980373794055576 the lambda is 2.0 the regulation term lambda/alpha is 6.710567660972748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3313345828293885 the lambda is 2.0 the regulation term lambda/alpha is 6.03619454064004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2866274609623176 the lambda is 2.0 the regulation term lambda/alpha is 6.977698484594734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30116193488799686 the lambda is 2.0 the regulation term lambda/alpha is 6.640945512399522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3546676391687365 the lambda is 2.0 the regulation term lambda/alpha is 5.639082281900777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33814542747448667 the lambda is 2.0 the regulation term lambda/alpha is 5.914614948182026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3379346152968915 the lambda is 2.0 the regulation term lambda/alpha is 5.91830463488597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3378664084324391 the lambda is 2.0 the regulation term lambda/alpha is 5.919499394092404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22230393191748188 the lambda is 2.0 the regulation term lambda/alpha is 8.996691973682184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3508214930860692 the lambda is 2.0 the regulation term lambda/alpha is 5.700904988478935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2737467419474332 the lambda is 2.0 the regulation term lambda/alpha is 7.30602302614456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29512863130419387 the lambda is 2.0 the regulation term lambda/alpha is 6.776706113405065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2835330771003609 the lambda is 2.0 the regulation term lambda/alpha is 7.053850719830015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2757628597052219 the lambda is 2.0 the regulation term lambda/alpha is 7.252608281397683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3071226681240245 the lambda is 2.0 the regulation term lambda/alpha is 6.512055955415005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3570053562778413 the lambda is 2.0 the regulation term lambda/alpha is 5.602156843953595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.319542155572433 the lambda is 2.0 the regulation term lambda/alpha is 6.25895508658996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28321649943221083 the lambda is 2.0 the regulation term lambda/alpha is 7.061735470954471 250 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30496778569353306 the lambda is 2.0 the regulation term lambda/alpha is 6.5580697169432565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33464031757999346 the lambda is 2.0 the regulation term lambda/alpha is 5.9765661665137335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32829147775284406 the lambda is 2.0 the regulation term lambda/alpha is 6.092147178751044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31320355130092203 the lambda is 2.0 the regulation term lambda/alpha is 6.3856236357882965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3076560453913536 the lambda is 2.0 the regulation term lambda/alpha is 6.500766131398139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29749308830943216 the lambda is 2.0 the regulation term lambda/alpha is 6.722845264625898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.367627066970056 the lambda is 2.0 the regulation term lambda/alpha is 5.440295831544156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3237761565885364 the lambda is 2.0 the regulation term lambda/alpha is 6.177107113361823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2897565724190525 the lambda is 2.0 the regulation term lambda/alpha is 6.902345590655162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3612302601854531 the lambda is 2.0 the regulation term lambda/alpha is 5.536634718733734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29574947317946004 the lambda is 2.0 the regulation term lambda/alpha is 6.762480346960432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31701807235856494 the lambda is 2.0 the regulation term lambda/alpha is 6.308788597193568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2768173444010963 the lambda is 2.0 the regulation term lambda/alpha is 7.224980805762254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24328253901308422 the lambda is 2.0 the regulation term lambda/alpha is 8.220894142725287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3714659502430291 the lambda is 2.0 the regulation term lambda/alpha is 5.384073556920933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3139877866959432 the lambda is 2.0 the regulation term lambda/alpha is 6.369674505641657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3833110624636146 the lambda is 2.0 the regulation term lambda/alpha is 5.217694441547321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39765170293983526 the lambda is 2.0 the regulation term lambda/alpha is 5.02952705901677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3332851671539326 the lambda is 2.0 the regulation term lambda/alpha is 6.000867116526284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23752814613274767 the lambda is 2.0 the regulation term lambda/alpha is 8.420054770613405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2579497365581613 the lambda is 2.0 the regulation term lambda/alpha is 7.753448507783412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.407134585586563 the lambda is 2.0 the regulation term lambda/alpha is 4.91238050218352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3363013817843412 the lambda is 2.0 the regulation term lambda/alpha is 5.947046632364219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2953499136115465 the lambda is 2.0 the regulation term lambda/alpha is 6.771628864027578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30306281846224625 the lambda is 2.0 the regulation term lambda/alpha is 6.5992918898731485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2730256067574754 the lambda is 2.0 the regulation term lambda/alpha is 7.325320228210574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.24673700848145927 the lambda is 2.0 the regulation term lambda/alpha is 8.105796581992228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.33518102661337046 the lambda is 2.0 the regulation term lambda/alpha is 5.9669248591060295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43165209792904713 the lambda is 2.0 the regulation term lambda/alpha is 4.6333610090057995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31702873982101926 the lambda is 2.0 the regulation term lambda/alpha is 6.308576317494476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2693371707794343 the lambda is 2.0 the regulation term lambda/alpha is 7.425636774204629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36916941281786475 the lambda is 2.0 the regulation term lambda/alpha is 5.417566923364612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33284865509882733 the lambda is 2.0 the regulation term lambda/alpha is 6.008736911994349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2687314149224144 the lambda is 2.0 the regulation term lambda/alpha is 7.442375133467075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3809213540656617 the lambda is 2.0 the regulation term lambda/alpha is 5.250427624110692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29831056123056116 the lambda is 2.0 the regulation term lambda/alpha is 6.704422370263387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3196533649691769 the lambda is 2.0 the regulation term lambda/alpha is 6.256777557129277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.372924208536421 the lambda is 2.0 the regulation term lambda/alpha is 5.363020029858624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3340665212491676 the lambda is 2.0 the regulation term lambda/alpha is 5.986831582289192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3381028502106138 the lambda is 2.0 the regulation term lambda/alpha is 5.915359775151684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2920603882193895 the lambda is 2.0 the regulation term lambda/alpha is 6.847898861579417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26817936530662745 the lambda is 2.0 the regulation term lambda/alpha is 7.457695329069281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32968996859614413 the lambda is 2.0 the regulation term lambda/alpha is 6.06630528831744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.305310727869789 the lambda is 2.0 the regulation term lambda/alpha is 6.550703324296464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3304572968187531 the lambda is 2.0 the regulation term lambda/alpha is 6.052219210329455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29067942977169037 the lambda is 2.0 the regulation term lambda/alpha is 6.880431826809585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3274821330487392 the lambda is 2.0 the regulation term lambda/alpha is 6.107203411009723 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.305250144336554 the lambda is 2.0 the regulation term lambda/alpha is 6.552003453911219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28424249998308265 the lambda is 2.0 the regulation term lambda/alpha is 7.036245459841631 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2548093768681007 the lambda is 2.0 the regulation term lambda/alpha is 7.84900471317929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2620128737431656 the lambda is 2.0 the regulation term lambda/alpha is 7.6332127174807125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30453525508679774 the lambda is 2.0 the regulation term lambda/alpha is 6.567384125788543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27858647523564106 the lambda is 2.0 the regulation term lambda/alpha is 7.179099410006567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3036143750986847 the lambda is 2.0 the regulation term lambda/alpha is 6.587303382291876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3269361686189262 the lambda is 2.0 the regulation term lambda/alpha is 6.117402086311171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25230726200247044 the lambda is 2.0 the regulation term lambda/alpha is 7.9268427873487735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25418705930836555 the lambda is 2.0 the regulation term lambda/alpha is 7.868221165317907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3060673316206542 the lambda is 2.0 the regulation term lambda/alpha is 6.534509872091932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.31275996649412974 the lambda is 2.0 the regulation term lambda/alpha is 6.394680311610593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3099580028243936 the lambda is 2.0 the regulation term lambda/alpha is 6.452487052360761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25453249764857816 the lambda is 2.0 the regulation term lambda/alpha is 7.857542822533067 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3838630909443991 the lambda is 2.0 the regulation term lambda/alpha is 5.2101909435457845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2917296139779809 the lambda is 2.0 the regulation term lambda/alpha is 6.855663272330506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3051112919440269 the lambda is 2.0 the regulation term lambda/alpha is 6.554985190016837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30893549575835844 the lambda is 2.0 the regulation term lambda/alpha is 6.473843334481543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3369817525887609 the lambda is 2.0 the regulation term lambda/alpha is 5.935039463221975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36337585430219477 the lambda is 2.0 the regulation term lambda/alpha is 5.503943028467536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3440191406906562 the lambda is 2.0 the regulation term lambda/alpha is 5.813630009030255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2744667578542749 the lambda is 2.0 the regulation term lambda/alpha is 7.286856942660714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3164334295552927 the lambda is 2.0 the regulation term lambda/alpha is 6.3204447229572045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.25380368876875314 the lambda is 2.0 the regulation term lambda/alpha is 7.880106115487745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2921071133130045 the lambda is 2.0 the regulation term lambda/alpha is 6.8468034801224436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3096923411431937 the lambda is 2.0 the regulation term lambda/alpha is 6.458022153913234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3211420572111198 the lambda is 2.0 the regulation term lambda/alpha is 6.2277735198202135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37113727279500763 the lambda is 2.0 the regulation term lambda/alpha is 5.388841667499862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3728580199820035 the lambda is 2.0 the regulation term lambda/alpha is 5.363972055895519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30864923247924864 the lambda is 2.0 the regulation term lambda/alpha is 6.479847637834206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3108015534085227 the lambda is 2.0 the regulation term lambda/alpha is 6.434974272381345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30237224402719487 the lambda is 2.0 the regulation term lambda/alpha is 6.614363717260117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3140858314040405 the lambda is 2.0 the regulation term lambda/alpha is 6.367686154639675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36479499317557523 the lambda is 2.0 the regulation term lambda/alpha is 5.482531387258934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23128762846158554 the lambda is 2.0 the regulation term lambda/alpha is 8.647241589630372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3012287105312044 the lambda is 2.0 the regulation term lambda/alpha is 6.639473363853938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2656960303171988 the lambda is 2.0 the regulation term lambda/alpha is 7.5273988761229065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3001278824085343 the lambda is 2.0 the regulation term lambda/alpha is 6.663826046250507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37946830665631376 the lambda is 2.0 the regulation term lambda/alpha is 5.270532386809867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27906093392038767 the lambda is 2.0 the regulation term lambda/alpha is 7.166893523586404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36314561285636454 the lambda is 2.0 the regulation term lambda/alpha is 5.507432636370751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29796854000059647 the lambda is 2.0 the regulation term lambda/alpha is 6.71211799741005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3418897110923077 the lambda is 2.0 the regulation term lambda/alpha is 5.84983968546516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37997342050280064 the lambda is 2.0 the regulation term lambda/alpha is 5.2635260575687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29592749986928374 the lambda is 2.0 the regulation term lambda/alpha is 6.7584121140598095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2600363066614439 the lambda is 2.0 the regulation term lambda/alpha is 7.691233680702572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.21927411218985043 the lambda is 2.0 the regulation term lambda/alpha is 9.121003751999568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35218568896700997 the lambda is 2.0 the regulation term lambda/alpha is 5.678822458306489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2804727071107291 the lambda is 2.0 the regulation term lambda/alpha is 7.130818611917241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3748207135128646 the lambda is 2.0 the regulation term lambda/alpha is 5.33588440525541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3395302795021203 the lambda is 2.0 the regulation term lambda/alpha is 5.890490836142084 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3236220257046117 the lambda is 2.0 the regulation term lambda/alpha is 6.180049073129263 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30175430672148357 the lambda is 2.0 the regulation term lambda/alpha is 6.627908717292912 260 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31196898354620084 the lambda is 2.0 the regulation term lambda/alpha is 6.410893728170292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32331197991639743 the lambda is 2.0 the regulation term lambda/alpha is 6.185975541386259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3467847332078549 the lambda is 2.0 the regulation term lambda/alpha is 5.767266573414134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2567445080373689 the lambda is 2.0 the regulation term lambda/alpha is 7.789845302976849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3952829852914522 the lambda is 2.0 the regulation term lambda/alpha is 5.059666300904272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29522796138982516 the lambda is 2.0 the regulation term lambda/alpha is 6.774426075987966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30890537135904217 the lambda is 2.0 the regulation term lambda/alpha is 6.4744746625832885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30374780101091653 the lambda is 2.0 the regulation term lambda/alpha is 6.584409807556503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29144626673416846 the lambda is 2.0 the regulation term lambda/alpha is 6.862328423044181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2436167637307046 the lambda is 2.0 the regulation term lambda/alpha is 8.209615665902252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3629174274539687 the lambda is 2.0 the regulation term lambda/alpha is 5.510895450876835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38862818196624066 the lambda is 2.0 the regulation term lambda/alpha is 5.1463071717576465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2710462098771133 the lambda is 2.0 the regulation term lambda/alpha is 7.378815593498829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2875751558244455 the lambda is 2.0 the regulation term lambda/alpha is 6.954703699164227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32571690256447244 the lambda is 2.0 the regulation term lambda/alpha is 6.140301544848811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37709958043289643 the lambda is 2.0 the regulation term lambda/alpha is 5.303638889505191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3092206351321993 the lambda is 2.0 the regulation term lambda/alpha is 6.467873656442597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2681023965870896 the lambda is 2.0 the regulation term lambda/alpha is 7.459836336637617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.28296695998213933 the lambda is 2.0 the regulation term lambda/alpha is 7.067962988068425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3733652200118059 the lambda is 2.0 the regulation term lambda/alpha is 5.356685338652485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37051507682003476 the lambda is 2.0 the regulation term lambda/alpha is 5.397891003964281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30195559230610386 the lambda is 2.0 the regulation term lambda/alpha is 6.623490509732053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31427267676700343 the lambda is 2.0 the regulation term lambda/alpha is 6.363900357404494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2900573919912081 the lambda is 2.0 the regulation term lambda/alpha is 6.895187143034858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2720433565522116 the lambda is 2.0 the regulation term lambda/alpha is 7.351769311139757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33628410111621126 the lambda is 2.0 the regulation term lambda/alpha is 5.947352233904304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29759165572565227 the lambda is 2.0 the regulation term lambda/alpha is 6.720618543968136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3078397102425249 the lambda is 2.0 the regulation term lambda/alpha is 6.496887612141862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29988122205487416 the lambda is 2.0 the regulation term lambda/alpha is 6.66930722202415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3635619380893742 the lambda is 2.0 the regulation term lambda/alpha is 5.501125916839901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2938269760904847 the lambda is 2.0 the regulation term lambda/alpha is 6.806726960917623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.350354099556441 the lambda is 2.0 the regulation term lambda/alpha is 5.708510340058989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34616980535719705 the lambda is 2.0 the regulation term lambda/alpha is 5.77751140928161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39953945165974236 the lambda is 2.0 the regulation term lambda/alpha is 5.005763490167798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2951684398315661 the lambda is 2.0 the regulation term lambda/alpha is 6.775792158339398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3417868146411998 the lambda is 2.0 the regulation term lambda/alpha is 5.851600805898716 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27875527897078445 the lambda is 2.0 the regulation term lambda/alpha is 7.174752016838449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2732674960053987 the lambda is 2.0 the regulation term lambda/alpha is 7.318836046130008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35706421750976974 the lambda is 2.0 the regulation term lambda/alpha is 5.601233341017369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29051484539529004 the lambda is 2.0 the regulation term lambda/alpha is 6.884329774193443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4092084721612449 the lambda is 2.0 the regulation term lambda/alpha is 4.887484341262412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2671017136956004 the lambda is 2.0 the regulation term lambda/alpha is 7.487784231438061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.303069521953803 the lambda is 2.0 the regulation term lambda/alpha is 6.599145922382987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2916541778693519 the lambda is 2.0 the regulation term lambda/alpha is 6.857436483889187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3181174766331394 the lambda is 2.0 the regulation term lambda/alpha is 6.286985616657733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3429947415039891 the lambda is 2.0 the regulation term lambda/alpha is 5.83099318441516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29954950648104905 the lambda is 2.0 the regulation term lambda/alpha is 6.676692689281829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30144561327483116 the lambda is 2.0 the regulation term lambda/alpha is 6.634695984700161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27651870760079844 the lambda is 2.0 the regulation term lambda/alpha is 7.2327836960938585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32429244403945046 the lambda is 2.0 the regulation term lambda/alpha is 6.167272894451708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2946788159916585 the lambda is 2.0 the regulation term lambda/alpha is 6.787050481622045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.37594662927874767 the lambda is 2.0 the regulation term lambda/alpha is 5.31990406148073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.271878151005155 the lambda is 2.0 the regulation term lambda/alpha is 7.356236581004549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28294635982137634 the lambda is 2.0 the regulation term lambda/alpha is 7.0684775773846225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3673175103572225 the lambda is 2.0 the regulation term lambda/alpha is 5.44488063761231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2726687661317124 the lambda is 2.0 the regulation term lambda/alpha is 7.334906848237622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.22594207874150432 the lambda is 2.0 the regulation term lambda/alpha is 8.85182614562097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31294640543676056 the lambda is 2.0 the regulation term lambda/alpha is 6.39087065789658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34068770414189503 the lambda is 2.0 the regulation term lambda/alpha is 5.870478962654338 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2694172469790918 the lambda is 2.0 the regulation term lambda/alpha is 7.423429726290724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2923410667654027 the lambda is 2.0 the regulation term lambda/alpha is 6.841324149661656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2728705930499806 the lambda is 2.0 the regulation term lambda/alpha is 7.329481633199177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3613734017895117 the lambda is 2.0 the regulation term lambda/alpha is 5.534441633213878 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30851076054446297 the lambda is 2.0 the regulation term lambda/alpha is 6.482756051913325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3020730167950177 the lambda is 2.0 the regulation term lambda/alpha is 6.620915768048129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31809906516442504 the lambda is 2.0 the regulation term lambda/alpha is 6.287349505306475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26887891466978914 the lambda is 2.0 the regulation term lambda/alpha is 7.438292446457562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29359838161595203 the lambda is 2.0 the regulation term lambda/alpha is 6.812026650120112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3128732637899257 the lambda is 2.0 the regulation term lambda/alpha is 6.392364677548388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29110353104319947 the lambda is 2.0 the regulation term lambda/alpha is 6.870407902071109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2592195019193372 the lambda is 2.0 the regulation term lambda/alpha is 7.715468879430034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41327562518662186 the lambda is 2.0 the regulation term lambda/alpha is 4.839385335384502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2515217460666422 the lambda is 2.0 the regulation term lambda/alpha is 7.9515987435539195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3092315013226348 the lambda is 2.0 the regulation term lambda/alpha is 6.467646379640062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23697074037100432 the lambda is 2.0 the regulation term lambda/alpha is 8.439860536658557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3242796635186813 the lambda is 2.0 the regulation term lambda/alpha is 6.16751595921396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31595615010601924 the lambda is 2.0 the regulation term lambda/alpha is 6.3299923085178085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2529421808157051 the lambda is 2.0 the regulation term lambda/alpha is 7.906945348341129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30305823108283614 the lambda is 2.0 the regulation term lambda/alpha is 6.599391783070666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.43983908531469496 the lambda is 2.0 the regulation term lambda/alpha is 4.547117495410952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27502949477530086 the lambda is 2.0 the regulation term lambda/alpha is 7.271947329263722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31539246434169416 the lambda is 2.0 the regulation term lambda/alpha is 6.341305598960706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33362184967533587 the lambda is 2.0 the regulation term lambda/alpha is 5.994811197007331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27707111476981305 the lambda is 2.0 the regulation term lambda/alpha is 7.2183634214687915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33446311804509227 the lambda is 2.0 the regulation term lambda/alpha is 5.979732568690459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29176192859773287 the lambda is 2.0 the regulation term lambda/alpha is 6.854903960953393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33226733050232127 the lambda is 2.0 the regulation term lambda/alpha is 6.0192496113788945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4068538828844036 the lambda is 2.0 the regulation term lambda/alpha is 4.915769725044618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3574675368153176 the lambda is 2.0 the regulation term lambda/alpha is 5.594913646755235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3492412071994786 the lambda is 2.0 the regulation term lambda/alpha is 5.726701084438886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28565085720756284 the lambda is 2.0 the regulation term lambda/alpha is 7.0015543434786105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2627738781560731 the lambda is 2.0 the regulation term lambda/alpha is 7.611106606312332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2757413445943938 the lambda is 2.0 the regulation term lambda/alpha is 7.253174176480253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3199021949366438 the lambda is 2.0 the regulation term lambda/alpha is 6.251910839174133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3447965484487028 the lambda is 2.0 the regulation term lambda/alpha is 5.800522102086966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39807588535818234 the lambda is 2.0 the regulation term lambda/alpha is 5.024167686521458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37077379481204104 the lambda is 2.0 the regulation term lambda/alpha is 5.394124471536275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38553813931805814 the lambda is 2.0 the regulation term lambda/alpha is 5.187554215875012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3284200739472071 the lambda is 2.0 the regulation term lambda/alpha is 6.089761737041372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.306116432401563 the lambda is 2.0 the regulation term lambda/alpha is 6.533461743002426 270 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.29279820806111984 the lambda is 2.0 the regulation term lambda/alpha is 6.830642896497892 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3518232861450044 the lambda is 2.0 the regulation term lambda/alpha is 5.684672046340041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3710180766951909 the lambda is 2.0 the regulation term lambda/alpha is 5.390572927914496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3134282053867299 the lambda is 2.0 the regulation term lambda/alpha is 6.3810466500047704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.35828543792981454 the lambda is 2.0 the regulation term lambda/alpha is 5.582141466748044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3011362376805446 the lambda is 2.0 the regulation term lambda/alpha is 6.641512211896819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3574004118282029 the lambda is 2.0 the regulation term lambda/alpha is 5.595964452781241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2720590057096562 the lambda is 2.0 the regulation term lambda/alpha is 7.351346428628862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30670406756193475 the lambda is 2.0 the regulation term lambda/alpha is 6.5209438397686945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3389347331936624 the lambda is 2.0 the regulation term lambda/alpha is 5.900841088650625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33679198708008884 the lambda is 2.0 the regulation term lambda/alpha is 5.938383562327455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3627574376038824 the lambda is 2.0 the regulation term lambda/alpha is 5.5133259657212745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2801581689435496 the lambda is 2.0 the regulation term lambda/alpha is 7.13882449882441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.294315876584571 the lambda is 2.0 the regulation term lambda/alpha is 6.795420020181292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27314616580923373 the lambda is 2.0 the regulation term lambda/alpha is 7.32208703744649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3930930267298598 the lambda is 2.0 the regulation term lambda/alpha is 5.087854182095257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4014547077847868 the lambda is 2.0 the regulation term lambda/alpha is 4.981882043521001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3545892997968793 the lambda is 2.0 the regulation term lambda/alpha is 5.640328123679049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.334664029915662 the lambda is 2.0 the regulation term lambda/alpha is 5.976142701992849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24079094091714195 the lambda is 2.0 the regulation term lambda/alpha is 8.305960317204026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26943669293835865 the lambda is 2.0 the regulation term lambda/alpha is 7.4228939577192525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3949459052991866 the lambda is 2.0 the regulation term lambda/alpha is 5.063984644896935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.251170029471197 the lambda is 2.0 the regulation term lambda/alpha is 7.962733468681424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2923644870851856 the lambda is 2.0 the regulation term lambda/alpha is 6.840776114567103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28215217466975046 the lambda is 2.0 the regulation term lambda/alpha is 7.088373507455444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3584598885511829 the lambda is 2.0 the regulation term lambda/alpha is 5.579424822351997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3381376838678671 the lambda is 2.0 the regulation term lambda/alpha is 5.914750397301276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32326903456162526 the lambda is 2.0 the regulation term lambda/alpha is 6.186797330316947 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2987501364746775 the lambda is 2.0 the regulation term lambda/alpha is 6.694557611254925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2746819430908709 the lambda is 2.0 the regulation term lambda/alpha is 7.281148434785739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2730514817779487 the lambda is 2.0 the regulation term lambda/alpha is 7.324626063104256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31152309297426395 the lambda is 2.0 the regulation term lambda/alpha is 6.420069796126566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2695494475722035 the lambda is 2.0 the regulation term lambda/alpha is 7.419788903348671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3601387784252577 the lambda is 2.0 the regulation term lambda/alpha is 5.553414738466091 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3364125585783896 the lambda is 2.0 the regulation term lambda/alpha is 5.945081267035897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27776271931369373 the lambda is 2.0 the regulation term lambda/alpha is 7.200390336549386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3747474527097235 the lambda is 2.0 the regulation term lambda/alpha is 5.33692753756804 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046174971970381 the lambda is 2.0 the regulation term lambda/alpha is 6.565611031549919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3448373375490674 the lambda is 2.0 the regulation term lambda/alpha is 5.7998359870627905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37981231538382626 the lambda is 2.0 the regulation term lambda/alpha is 5.26575868920644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28482260531722686 the lambda is 2.0 the regulation term lambda/alpha is 7.021914562478144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26235328052721985 the lambda is 2.0 the regulation term lambda/alpha is 7.623308524981431 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27924574250681616 the lambda is 2.0 the regulation term lambda/alpha is 7.16215037710443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2833029008480811 the lambda is 2.0 the regulation term lambda/alpha is 7.059581790419026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3237817634225551 the lambda is 2.0 the regulation term lambda/alpha is 6.177000146206126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44814605557310566 the lambda is 2.0 the regulation term lambda/alpha is 4.462830756018429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36569207269957416 the lambda is 2.0 the regulation term lambda/alpha is 5.469082185008297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3703491142008283 the lambda is 2.0 the regulation term lambda/alpha is 5.400309932739478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3176208752279211 the lambda is 2.0 the regulation term lambda/alpha is 6.296815341764999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34391464702764557 the lambda is 2.0 the regulation term lambda/alpha is 5.815396399325877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28060215432986724 the lambda is 2.0 the regulation term lambda/alpha is 7.127529026911396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27788950200612683 the lambda is 2.0 the regulation term lambda/alpha is 7.197105272281587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35860682486340884 the lambda is 2.0 the regulation term lambda/alpha is 5.577138697128221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3744978131235128 the lambda is 2.0 the regulation term lambda/alpha is 5.340485124115749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3473052966192801 the lambda is 2.0 the regulation term lambda/alpha is 5.75862222508061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38257941386666877 the lambda is 2.0 the regulation term lambda/alpha is 5.227672811211457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3860892854609797 the lambda is 2.0 the regulation term lambda/alpha is 5.180148932680316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.312926138848381 the lambda is 2.0 the regulation term lambda/alpha is 6.391284561143805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.347342400449167 the lambda is 2.0 the regulation term lambda/alpha is 5.758007077205931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3391286934976133 the lambda is 2.0 the regulation term lambda/alpha is 5.897466178319928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2988760604581313 the lambda is 2.0 the regulation term lambda/alpha is 6.691737026158287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3457814101651172 the lambda is 2.0 the regulation term lambda/alpha is 5.784000935865702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32842575075050906 the lambda is 2.0 the regulation term lambda/alpha is 6.089656476173557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28047166191585227 the lambda is 2.0 the regulation term lambda/alpha is 7.130845185350827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3042451419518049 the lambda is 2.0 the regulation term lambda/alpha is 6.573646458804649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3961078410170152 the lambda is 2.0 the regulation term lambda/alpha is 5.049130042124282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2989743213999977 the lambda is 2.0 the regulation term lambda/alpha is 6.689537718940753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3654604830595989 the lambda is 2.0 the regulation term lambda/alpha is 5.472547902460476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34378124167030033 the lambda is 2.0 the regulation term lambda/alpha is 5.817653081601463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3495032881817371 the lambda is 2.0 the regulation term lambda/alpha is 5.722406820275826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25334665961057595 the lambda is 2.0 the regulation term lambda/alpha is 7.8943215713767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3207757096084211 the lambda is 2.0 the regulation term lambda/alpha is 6.234886059301216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3277699583852481 the lambda is 2.0 the regulation term lambda/alpha is 6.101840479380596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31864114406389227 the lambda is 2.0 the regulation term lambda/alpha is 6.2766533363907655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30663174058618314 the lambda is 2.0 the regulation term lambda/alpha is 6.522481971946645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2728370436921584 the lambda is 2.0 the regulation term lambda/alpha is 7.3303829015850095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3912337992821023 the lambda is 2.0 the regulation term lambda/alpha is 5.112032763196627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.32850709007041756 the lambda is 2.0 the regulation term lambda/alpha is 6.0881486593524885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28719603371533325 the lambda is 2.0 the regulation term lambda/alpha is 6.963884473357269 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30154818377807435 the lambda is 2.0 the regulation term lambda/alpha is 6.632439217315626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3243362615119254 the lambda is 2.0 the regulation term lambda/alpha is 6.166439702661686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29441152336954296 the lambda is 2.0 the regulation term lambda/alpha is 6.793212361764849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35708670743600174 the lambda is 2.0 the regulation term lambda/alpha is 5.6008805658453324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2795319951902117 the lambda is 2.0 the regulation term lambda/alpha is 7.154816029696601 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29726438147521766 the lambda is 2.0 the regulation term lambda/alpha is 6.7280176322326595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3945078614247129 the lambda is 2.0 the regulation term lambda/alpha is 5.069607466825286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.314347906908691 the lambda is 2.0 the regulation term lambda/alpha is 6.36237734066078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2980717410215569 the lambda is 2.0 the regulation term lambda/alpha is 6.709794068855919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25970517285763584 the lambda is 2.0 the regulation term lambda/alpha is 7.701040291162595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3422098076774149 the lambda is 2.0 the regulation term lambda/alpha is 5.844367856006354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3457895732470219 the lambda is 2.0 the regulation term lambda/alpha is 5.783864392496469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3025939792755118 the lambda is 2.0 the regulation term lambda/alpha is 6.609516834368341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3024476562283068 the lambda is 2.0 the regulation term lambda/alpha is 6.612714493942953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3064944493283334 the lambda is 2.0 the regulation term lambda/alpha is 6.525403655377432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2967715812493623 the lambda is 2.0 the regulation term lambda/alpha is 6.7391897552329985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30374550889050683 the lambda is 2.0 the regulation term lambda/alpha is 6.584459494744179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29721047796654654 the lambda is 2.0 the regulation term lambda/alpha is 6.7292378575735015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3702229782627699 the lambda is 2.0 the regulation term lambda/alpha is 5.402149832473331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27712163854792315 the lambda is 2.0 the regulation term lambda/alpha is 7.217047396514063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41890370832565016 the lambda is 2.0 the regulation term lambda/alpha is 4.774366901629877 280 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2732220054054879 the lambda is 2.0 the regulation term lambda/alpha is 7.320054609187888 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3317013746314842 the lambda is 2.0 the regulation term lambda/alpha is 6.029519781827776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3045686156458497 the lambda is 2.0 the regulation term lambda/alpha is 6.566664775222889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3336771364590095 the lambda is 2.0 the regulation term lambda/alpha is 5.993817919993118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30166442716938735 the lambda is 2.0 the regulation term lambda/alpha is 6.6298834727270695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2942472314968333 the lambda is 2.0 the regulation term lambda/alpha is 6.797005327207383 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32686473314116055 the lambda is 2.0 the regulation term lambda/alpha is 6.118739029383985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29629430797504147 the lambda is 2.0 the regulation term lambda/alpha is 6.750045296747554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31560693742244933 the lambda is 2.0 the regulation term lambda/alpha is 6.3369963167917955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32548525548462315 the lambda is 2.0 the regulation term lambda/alpha is 6.144671582809949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39474525596108107 the lambda is 2.0 the regulation term lambda/alpha is 5.066558672454787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28863176828727716 the lambda is 2.0 the regulation term lambda/alpha is 6.929244178033051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3793908965857418 the lambda is 2.0 the regulation term lambda/alpha is 5.271607774458032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30584737016142244 the lambda is 2.0 the regulation term lambda/alpha is 6.53920940678491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3902724675773026 the lambda is 2.0 the regulation term lambda/alpha is 5.12462488685255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32074863925207364 the lambda is 2.0 the regulation term lambda/alpha is 6.235412267573852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25960575040544387 the lambda is 2.0 the regulation term lambda/alpha is 7.703989595286178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28666373289257546 the lambda is 2.0 the regulation term lambda/alpha is 6.976815587444684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.22299585596567262 the lambda is 2.0 the regulation term lambda/alpha is 8.968776533263805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3123691913040847 the lambda is 2.0 the regulation term lambda/alpha is 6.402680083942859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3019463443316312 the lambda is 2.0 the regulation term lambda/alpha is 6.623693373162275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31310327678502387 the lambda is 2.0 the regulation term lambda/alpha is 6.387668696847259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34013267625912114 the lambda is 2.0 the regulation term lambda/alpha is 5.8800583995533335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38551562742577106 the lambda is 2.0 the regulation term lambda/alpha is 5.187857139163805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3154262058455758 the lambda is 2.0 the regulation term lambda/alpha is 6.34062726221025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2764114991041869 the lambda is 2.0 the regulation term lambda/alpha is 7.235588991347088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.268343575777058 the lambda is 2.0 the regulation term lambda/alpha is 7.453131658577943 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2838441829248498 the lambda is 2.0 the regulation term lambda/alpha is 7.046119386316672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24949163187750983 the lambda is 2.0 the regulation term lambda/alpha is 8.016300927407128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38653169993433195 the lambda is 2.0 the regulation term lambda/alpha is 5.174219864346911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3103729787465143 the lambda is 2.0 the regulation term lambda/alpha is 6.443859926457793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27030703054893507 the lambda is 2.0 the regulation term lambda/alpha is 7.398993640448171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3311521293585456 the lambda is 2.0 the regulation term lambda/alpha is 6.039520276901365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3101146677627046 the lambda is 2.0 the regulation term lambda/alpha is 6.4492273597660725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3234667876024002 the lambda is 2.0 the regulation term lambda/alpha is 6.183015000780746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42291885292042125 the lambda is 2.0 the regulation term lambda/alpha is 4.729039592794722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2792949639235333 the lambda is 2.0 the regulation term lambda/alpha is 7.160888158898452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2598733106353038 the lambda is 2.0 the regulation term lambda/alpha is 7.696057725630483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30321426978840244 the lambda is 2.0 the regulation term lambda/alpha is 6.595995635019739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4222383321753526 the lambda is 2.0 the regulation term lambda/alpha is 4.736661377227622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40314527562927727 the lambda is 2.0 the regulation term lambda/alpha is 4.96099079141672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41362279518444645 the lambda is 2.0 the regulation term lambda/alpha is 4.835323447558401 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35724210321722977 the lambda is 2.0 the regulation term lambda/alpha is 5.598444253878584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24176895921208608 the lambda is 2.0 the regulation term lambda/alpha is 8.272360548342963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2821477191217169 the lambda is 2.0 the regulation term lambda/alpha is 7.088485443815379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.329992189619624 the lambda is 2.0 the regulation term lambda/alpha is 6.060749505330303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.30359117579853623 the lambda is 2.0 the regulation term lambda/alpha is 6.5878067593348115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2757275058352836 the lambda is 2.0 the regulation term lambda/alpha is 7.253538213176224 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26895313029220197 the lambda is 2.0 the regulation term lambda/alpha is 7.436239904800945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39916488547095647 the lambda is 2.0 the regulation term lambda/alpha is 5.01046077146864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30312377804645957 the lambda is 2.0 the regulation term lambda/alpha is 6.597964741959179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3634570099350478 the lambda is 2.0 the regulation term lambda/alpha is 5.502714063370007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41019022621793916 the lambda is 2.0 the regulation term lambda/alpha is 4.875786579413463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28274292082915875 the lambda is 2.0 the regulation term lambda/alpha is 7.073563483516733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2467123017417783 the lambda is 2.0 the regulation term lambda/alpha is 8.106608328324471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35526742558919505 the lambda is 2.0 the regulation term lambda/alpha is 5.6295620029984175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3253108673766972 the lambda is 2.0 the regulation term lambda/alpha is 6.14796553256267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3315524485049056 the lambda is 2.0 the regulation term lambda/alpha is 6.032228110571194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38450340733133154 the lambda is 2.0 the regulation term lambda/alpha is 5.2015143737766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2936497068681287 the lambda is 2.0 the regulation term lambda/alpha is 6.810836017276032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.338837826750975 the lambda is 2.0 the regulation term lambda/alpha is 5.902528708726128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2876606675144622 the lambda is 2.0 the regulation term lambda/alpha is 6.952636303325861 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27202584583556627 the lambda is 2.0 the regulation term lambda/alpha is 7.35224255569067 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3292326124635396 the lambda is 2.0 the regulation term lambda/alpha is 6.074732345118111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33023398924470193 the lambda is 2.0 the regulation term lambda/alpha is 6.056311782364743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2803113637350686 the lambda is 2.0 the regulation term lambda/alpha is 7.13492301328984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.410146253431637 the lambda is 2.0 the regulation term lambda/alpha is 4.876309324457499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23305339235708816 the lambda is 2.0 the regulation term lambda/alpha is 8.58172446996853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34396215096752536 the lambda is 2.0 the regulation term lambda/alpha is 5.814593246304088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34117021734061836 the lambda is 2.0 the regulation term lambda/alpha is 5.862176410326096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29751343728187307 the lambda is 2.0 the regulation term lambda/alpha is 6.722385443401471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2495541665820923 the lambda is 2.0 the regulation term lambda/alpha is 8.014292157057968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27497459909693245 the lambda is 2.0 the regulation term lambda/alpha is 7.273399094201322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4203638616211159 the lambda is 2.0 the regulation term lambda/alpha is 4.757782917606386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3788982983339326 the lambda is 2.0 the regulation term lambda/alpha is 5.278461288409772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.47458095288316404 the lambda is 2.0 the regulation term lambda/alpha is 4.21424414075121 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34466566173204694 the lambda is 2.0 the regulation term lambda/alpha is 5.802724849204322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33694151598678845 the lambda is 2.0 the regulation term lambda/alpha is 5.935748208832837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32129170059530376 the lambda is 2.0 the regulation term lambda/alpha is 6.224872899904696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2712258783214874 the lambda is 2.0 the regulation term lambda/alpha is 7.373927636909982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26974969296405 the lambda is 2.0 the regulation term lambda/alpha is 7.414280913626632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.311472737502683 the lambda is 2.0 the regulation term lambda/alpha is 6.421107722093245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32453079823875536 the lambda is 2.0 the regulation term lambda/alpha is 6.1627432923287975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2673429115616788 the lambda is 2.0 the regulation term lambda/alpha is 7.481028721940059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2988853539330958 the lambda is 2.0 the regulation term lambda/alpha is 6.691528954770034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3154925736432654 the lambda is 2.0 the regulation term lambda/alpha is 6.339293432185334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28566873907670093 the lambda is 2.0 the regulation term lambda/alpha is 7.001116070537238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3536548266673223 the lambda is 2.0 the regulation term lambda/alpha is 5.655231737813576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3281255365292315 the lambda is 2.0 the regulation term lambda/alpha is 6.095228128706854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30405668575957434 the lambda is 2.0 the regulation term lambda/alpha is 6.577720845057993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2972010648682075 the lambda is 2.0 the regulation term lambda/alpha is 6.729450989305476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3122120278312599 the lambda is 2.0 the regulation term lambda/alpha is 6.405903109796054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3199480935742651 the lambda is 2.0 the regulation term lambda/alpha is 6.2510139618499325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3264322193343459 the lambda is 2.0 the regulation term lambda/alpha is 6.126846192077363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30547845664075596 the lambda is 2.0 the regulation term lambda/alpha is 6.547106535738489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3604614965340684 the lambda is 2.0 the regulation term lambda/alpha is 5.548442813533549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2960056755039123 the lambda is 2.0 the regulation term lambda/alpha is 6.7566272051887255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26267793258889416 the lambda is 2.0 the regulation term lambda/alpha is 7.613886634055832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26896584171221505 the lambda is 2.0 the regulation term lambda/alpha is 7.435888465494949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.337121746884735 the lambda is 2.0 the regulation term lambda/alpha is 5.93257485902806 290 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3284588079966404 the lambda is 2.0 the regulation term lambda/alpha is 6.089043591793272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.3061979749225405 the lambda is 2.0 the regulation term lambda/alpha is 6.531721839460055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.329320120806028 the lambda is 2.0 the regulation term lambda/alpha is 6.073118141414793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30144761063870235 the lambda is 2.0 the regulation term lambda/alpha is 6.634652023820763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31786715188459863 the lambda is 2.0 the regulation term lambda/alpha is 6.2919367041930085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31979773270279405 the lambda is 2.0 the regulation term lambda/alpha is 6.253953031801861 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33625540382022057 the lambda is 2.0 the regulation term lambda/alpha is 5.947859803226547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29615675306259565 the lambda is 2.0 the regulation term lambda/alpha is 6.753180467160512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2511202681071212 the lambda is 2.0 the regulation term lambda/alpha is 7.964311344024424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26375344347694624 the lambda is 2.0 the regulation term lambda/alpha is 7.582839388312339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2878936331066914 the lambda is 2.0 the regulation term lambda/alpha is 6.947010180175862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4179744591350312 the lambda is 2.0 the regulation term lambda/alpha is 4.7849813697680466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28154765838178814 the lambda is 2.0 the regulation term lambda/alpha is 7.103593087916691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31772618473180064 the lambda is 2.0 the regulation term lambda/alpha is 6.294728278968389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26522529925797017 the lambda is 2.0 the regulation term lambda/alpha is 7.540758764701059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39525707699341256 the lambda is 2.0 the regulation term lambda/alpha is 5.05999795174656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34093928896626374 the lambda is 2.0 the regulation term lambda/alpha is 5.866147037685357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.282653626943188 the lambda is 2.0 the regulation term lambda/alpha is 7.0757981124437865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3290831618902212 the lambda is 2.0 the regulation term lambda/alpha is 6.077491137839437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3260707186269966 the lambda is 2.0 the regulation term lambda/alpha is 6.13363876530069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32924452603545357 the lambda is 2.0 the regulation term lambda/alpha is 6.074512533534534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3662936293665526 the lambda is 2.0 the regulation term lambda/alpha is 5.460100421234971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33237387284532544 the lambda is 2.0 the regulation term lambda/alpha is 6.017320142762022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34554376723086394 the lambda is 2.0 the regulation term lambda/alpha is 5.78797880230253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3317857153743604 the lambda is 2.0 the regulation term lambda/alpha is 6.027987063105957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34052770325078724 the lambda is 2.0 the regulation term lambda/alpha is 5.8732372752858435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30772089067235475 the lambda is 2.0 the regulation term lambda/alpha is 6.499396240632542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2865370060333943 the lambda is 2.0 the regulation term lambda/alpha is 6.979901227023049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4059241699764053 the lambda is 2.0 the regulation term lambda/alpha is 4.92702861255158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2697133675988772 the lambda is 2.0 the regulation term lambda/alpha is 7.415279479118875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3979945522604217 the lambda is 2.0 the regulation term lambda/alpha is 5.025194411935896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27894964140533535 the lambda is 2.0 the regulation term lambda/alpha is 7.169752898494842 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.317442100681092 the lambda is 2.0 the regulation term lambda/alpha is 6.300361532729509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30284599637329646 the lambda is 2.0 the regulation term lambda/alpha is 6.604016641959315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3568079903263491 the lambda is 2.0 the regulation term lambda/alpha is 5.6052556395128095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3842027646013408 the lambda is 2.0 the regulation term lambda/alpha is 5.205584613830809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35022261751232936 the lambda is 2.0 the regulation term lambda/alpha is 5.710653452955794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25301220658272033 the lambda is 2.0 the regulation term lambda/alpha is 7.904756956246361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3593199784370898 the lambda is 2.0 the regulation term lambda/alpha is 5.566069575923017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30613425600144145 the lambda is 2.0 the regulation term lambda/alpha is 6.533081354967942 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26606813662310624 the lambda is 2.0 the regulation term lambda/alpha is 7.516871525405772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2564805902441021 the lambda is 2.0 the regulation term lambda/alpha is 7.79786103149765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2988229289415688 the lambda is 2.0 the regulation term lambda/alpha is 6.6929268349119075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33879663578873837 the lambda is 2.0 the regulation term lambda/alpha is 5.903246339338297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3129442074411394 the lambda is 2.0 the regulation term lambda/alpha is 6.390915544829738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3152498073759411 the lambda is 2.0 the regulation term lambda/alpha is 6.344175169042891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3044530197009374 the lambda is 2.0 the regulation term lambda/alpha is 6.569158032870193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.304443551610228 the lambda is 2.0 the regulation term lambda/alpha is 6.569362331446433 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34648300559244877 the lambda is 2.0 the regulation term lambda/alpha is 5.7722888791622395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4019741087145413 the lambda is 2.0 the regulation term lambda/alpha is 4.975444827518192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4337762411744373 the lambda is 2.0 the regulation term lambda/alpha is 4.610672070432107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.46323370660066837 the lambda is 2.0 the regulation term lambda/alpha is 4.317475113537246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2974050985139671 the lambda is 2.0 the regulation term lambda/alpha is 6.724834274843722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30337904914385316 the lambda is 2.0 the regulation term lambda/alpha is 6.592413041190793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32339218949042164 the lambda is 2.0 the regulation term lambda/alpha is 6.1844412604752685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36065510645242066 the lambda is 2.0 the regulation term lambda/alpha is 5.5454642516308015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2862774258488029 the lambda is 2.0 the regulation term lambda/alpha is 6.986230206835441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2783206987130967 the lambda is 2.0 the regulation term lambda/alpha is 7.185954940640883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28283578588069985 the lambda is 2.0 the regulation term lambda/alpha is 7.071240980954228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3579025789265291 the lambda is 2.0 the regulation term lambda/alpha is 5.588112849029131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24621619608247944 the lambda is 2.0 the regulation term lambda/alpha is 8.122942486407451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.320131242993446 the lambda is 2.0 the regulation term lambda/alpha is 6.247437711166935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30990035151812095 the lambda is 2.0 the regulation term lambda/alpha is 6.453687419851323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32615547181841387 the lambda is 2.0 the regulation term lambda/alpha is 6.13204490744676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3316389952954339 the lambda is 2.0 the regulation term lambda/alpha is 6.030653898882852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32343653234975445 the lambda is 2.0 the regulation term lambda/alpha is 6.183593379109261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2862910050430929 the lambda is 2.0 the regulation term lambda/alpha is 6.985898839884814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3731262513947155 the lambda is 2.0 the regulation term lambda/alpha is 5.360116026476731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.363066300969174 the lambda is 2.0 the regulation term lambda/alpha is 5.508635735845418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3921053702366994 the lambda is 2.0 the regulation term lambda/alpha is 5.100669748013588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3723996696780615 the lambda is 2.0 the regulation term lambda/alpha is 5.370574044088156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3775380399759265 the lambda is 2.0 the regulation term lambda/alpha is 5.297479427841308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28958268654588715 the lambda is 2.0 the regulation term lambda/alpha is 6.906490245863096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2868759537519732 the lambda is 2.0 the regulation term lambda/alpha is 6.97165438177212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3370052215306439 the lambda is 2.0 the regulation term lambda/alpha is 5.93462614886559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3411154812315377 the lambda is 2.0 the regulation term lambda/alpha is 5.8631170675084885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24949539474932858 the lambda is 2.0 the regulation term lambda/alpha is 8.016180026126042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3246529710280211 the lambda is 2.0 the regulation term lambda/alpha is 6.160424140481308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3486932874351903 the lambda is 2.0 the regulation term lambda/alpha is 5.735699745501207 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27081304459881106 the lambda is 2.0 the regulation term lambda/alpha is 7.38516862421767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3619809872391798 the lambda is 2.0 the regulation term lambda/alpha is 5.525152067388818 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3352815691677714 the lambda is 2.0 the regulation term lambda/alpha is 5.9651355276234135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3274428981054832 the lambda is 2.0 the regulation term lambda/alpha is 6.107935189834887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30050808611197327 the lambda is 2.0 the regulation term lambda/alpha is 6.65539495418028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2965049700858036 the lambda is 2.0 the regulation term lambda/alpha is 6.745249495889507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.298943959428055 the lambda is 2.0 the regulation term lambda/alpha is 6.69021713576831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35950702678146895 the lambda is 2.0 the regulation term lambda/alpha is 5.56317359887301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30500523107738453 the lambda is 2.0 the regulation term lambda/alpha is 6.557264585054179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38223048014694866 the lambda is 2.0 the regulation term lambda/alpha is 5.232445092372275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2729445231647306 the lambda is 2.0 the regulation term lambda/alpha is 7.327496360104419 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3536972060588393 the lambda is 2.0 the regulation term lambda/alpha is 5.654554137663417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2997095714230835 the lambda is 2.0 the regulation term lambda/alpha is 6.673126889153333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.448161565983532 the lambda is 2.0 the regulation term lambda/alpha is 4.4626763020403475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.23991985841269248 the lambda is 2.0 the regulation term lambda/alpha is 8.336116956853765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3535654222259746 the lambda is 2.0 the regulation term lambda/alpha is 5.656661749920042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2809485784399891 the lambda is 2.0 the regulation term lambda/alpha is 7.118740415435852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24620466460475404 the lambda is 2.0 the regulation term lambda/alpha is 8.123322940329789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3237662678063752 the lambda is 2.0 the regulation term lambda/alpha is 6.177295780535351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25782651163977705 the lambda is 2.0 the regulation term lambda/alpha is 7.757154170376028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4149357710565987 the lambda is 2.0 the regulation term lambda/alpha is 4.820023096363011 300 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3134952130159339 the lambda is 2.0 the regulation term lambda/alpha is 6.379682741434226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.331400645832333 the lambda is 2.0 the regulation term lambda/alpha is 6.034991256510311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32105969870381873 the lambda is 2.0 the regulation term lambda/alpha is 6.2293710735866075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3296905720885711 the lambda is 2.0 the regulation term lambda/alpha is 6.066294184059051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24976407630884798 the lambda is 2.0 the regulation term lambda/alpha is 8.00755668932502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32521601868133687 the lambda is 2.0 the regulation term lambda/alpha is 6.1497585761902505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3222992853691533 the lambda is 2.0 the regulation term lambda/alpha is 6.205412456032136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3582339771608096 the lambda is 2.0 the regulation term lambda/alpha is 5.582943348509371 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28862711873276214 the lambda is 2.0 the regulation term lambda/alpha is 6.9293558026741975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34992159345047774 the lambda is 2.0 the regulation term lambda/alpha is 5.7155661080488525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2813606559026319 the lambda is 2.0 the regulation term lambda/alpha is 7.108314393083172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3737736109633156 the lambda is 2.0 the regulation term lambda/alpha is 5.350832539636652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3123125431284383 the lambda is 2.0 the regulation term lambda/alpha is 6.403841421052056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3636654147393371 the lambda is 2.0 the regulation term lambda/alpha is 5.499560637168457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3066239601107806 the lambda is 2.0 the regulation term lambda/alpha is 6.522647477638138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3579382778778095 the lambda is 2.0 the regulation term lambda/alpha is 5.58755551895108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35837621326515745 the lambda is 2.0 the regulation term lambda/alpha is 5.5807275314900116 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3696282887907196 the lambda is 2.0 the regulation term lambda/alpha is 5.410841271222028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32208982627514127 the lambda is 2.0 the regulation term lambda/alpha is 6.2094479143576695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2849202293438938 the lambda is 2.0 the regulation term lambda/alpha is 7.019508599321091 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28312398534158656 the lambda is 2.0 the regulation term lambda/alpha is 7.064042976037576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35436045014689227 the lambda is 2.0 the regulation term lambda/alpha is 5.643970706016837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3027617851296392 the lambda is 2.0 the regulation term lambda/alpha is 6.605853506721869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32957887395550667 the lambda is 2.0 the regulation term lambda/alpha is 6.068350122071238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2872829381476485 the lambda is 2.0 the regulation term lambda/alpha is 6.961777865736336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2611690263319337 the lambda is 2.0 the regulation term lambda/alpha is 7.657875928434534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34927462434297624 the lambda is 2.0 the regulation term lambda/alpha is 5.726153177495269 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31933008333359014 the lambda is 2.0 the regulation term lambda/alpha is 6.2631117592221575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26260167305820187 the lambda is 2.0 the regulation term lambda/alpha is 7.616097706874582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32496372528059236 the lambda is 2.0 the regulation term lambda/alpha is 6.154533089110439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3159827964017491 the lambda is 2.0 the regulation term lambda/alpha is 6.329458510953697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33816446888641677 the lambda is 2.0 the regulation term lambda/alpha is 5.914281907221197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27659657126357995 the lambda is 2.0 the regulation term lambda/alpha is 7.230747622298325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3090162149498226 the lambda is 2.0 the regulation term lambda/alpha is 6.4721522795325015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3304783103453529 the lambda is 2.0 the regulation term lambda/alpha is 6.051834378812883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2731363887133002 the lambda is 2.0 the regulation term lambda/alpha is 7.3223491363478335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3407360779537168 the lambda is 2.0 the regulation term lambda/alpha is 5.869645539183749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2929538990479599 the lambda is 2.0 the regulation term lambda/alpha is 6.82701273647352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3539215140053328 the lambda is 2.0 the regulation term lambda/alpha is 5.650970401222528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3674736762851504 the lambda is 2.0 the regulation term lambda/alpha is 5.442566717209018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3368442177646341 the lambda is 2.0 the regulation term lambda/alpha is 5.937462763269033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3627626137029386 the lambda is 2.0 the regulation term lambda/alpha is 5.5132472985150915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26462022417471487 the lambda is 2.0 the regulation term lambda/alpha is 7.558001306353307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2692584743802404 the lambda is 2.0 the regulation term lambda/alpha is 7.427807071266576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32743514562701087 the lambda is 2.0 the regulation term lambda/alpha is 6.108079803620859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30929864770289 the lambda is 2.0 the regulation term lambda/alpha is 6.466242302879983 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3001332505439603 the lambda is 2.0 the regulation term lambda/alpha is 6.663706858121212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3074842528803524 the lambda is 2.0 the regulation term lambda/alpha is 6.504398131823145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3396106133775795 the lambda is 2.0 the regulation term lambda/alpha is 5.8890974581421505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2780336132512555 the lambda is 2.0 the regulation term lambda/alpha is 7.193374846345018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38040906644487776 the lambda is 2.0 the regulation term lambda/alpha is 5.257498247060852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43953662218940504 the lambda is 2.0 the regulation term lambda/alpha is 4.550246552921273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3124086778339544 the lambda is 2.0 the regulation term lambda/alpha is 6.401870824673451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32726335109878957 the lambda is 2.0 the regulation term lambda/alpha is 6.11128619591831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32547189541886745 the lambda is 2.0 the regulation term lambda/alpha is 6.144923811090022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33225934269082147 the lambda is 2.0 the regulation term lambda/alpha is 6.019394319518255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2898681205882535 the lambda is 2.0 the regulation term lambda/alpha is 6.899689403378452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2654519788832439 the lambda is 2.0 the regulation term lambda/alpha is 7.534319421591797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3019384951584246 the lambda is 2.0 the regulation term lambda/alpha is 6.623865562258357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30742077886748537 the lambda is 2.0 the regulation term lambda/alpha is 6.505741112776589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3424884458630397 the lambda is 2.0 the regulation term lambda/alpha is 5.839613056026407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32627366245030687 the lambda is 2.0 the regulation term lambda/alpha is 6.129823611811174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3418999429765137 the lambda is 2.0 the regulation term lambda/alpha is 5.849664619971542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2865967473003075 the lambda is 2.0 the regulation term lambda/alpha is 6.978446262351751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3643766955144473 the lambda is 2.0 the regulation term lambda/alpha is 5.488825231197316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2747876499768469 the lambda is 2.0 the regulation term lambda/alpha is 7.278347480931243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38148268350360254 the lambda is 2.0 the regulation term lambda/alpha is 5.24270192720586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.397140150891335 the lambda is 2.0 the regulation term lambda/alpha is 5.036005539886189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.27407437852882566 the lambda is 2.0 the regulation term lambda/alpha is 7.297289191115144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31604395304260097 the lambda is 2.0 the regulation term lambda/alpha is 6.328233717955082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3039257721127098 the lambda is 2.0 the regulation term lambda/alpha is 6.580554146814199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31161762331342774 the lambda is 2.0 the regulation term lambda/alpha is 6.418122244608683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31643313774174486 the lambda is 2.0 the regulation term lambda/alpha is 6.320450551649521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27387314584058203 the lambda is 2.0 the regulation term lambda/alpha is 7.302650991434457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29609685841508665 the lambda is 2.0 the regulation term lambda/alpha is 6.754546504496437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31280913944871225 the lambda is 2.0 the regulation term lambda/alpha is 6.393675080992693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3092994631235601 the lambda is 2.0 the regulation term lambda/alpha is 6.466225255622357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3783248572513816 the lambda is 2.0 the regulation term lambda/alpha is 5.286462048860513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30234256540695764 the lambda is 2.0 the regulation term lambda/alpha is 6.615012997948106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30236311901646823 the lambda is 2.0 the regulation term lambda/alpha is 6.61456333201494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2622584464503687 the lambda is 2.0 the regulation term lambda/alpha is 7.626065154696519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4359333767336019 the lambda is 2.0 the regulation term lambda/alpha is 4.587857013807402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30018377657326367 the lambda is 2.0 the regulation term lambda/alpha is 6.6625852430498504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3207004819771331 the lambda is 2.0 the regulation term lambda/alpha is 6.236348594395334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34955464136589254 the lambda is 2.0 the regulation term lambda/alpha is 5.721566139659755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36658705594368235 the lambda is 2.0 the regulation term lambda/alpha is 5.455730003481776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4032033999073985 the lambda is 2.0 the regulation term lambda/alpha is 4.960275633735551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33645585679566825 the lambda is 2.0 the regulation term lambda/alpha is 5.944316199597656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35556046586545553 the lambda is 2.0 the regulation term lambda/alpha is 5.624922318435712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32438985179554924 the lambda is 2.0 the regulation term lambda/alpha is 6.1654209862906715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.262139540318582 the lambda is 2.0 the regulation term lambda/alpha is 7.629524327270014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2874616223967581 the lambda is 2.0 the regulation term lambda/alpha is 6.9574504705173315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3004600097984153 the lambda is 2.0 the regulation term lambda/alpha is 6.656459877445389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28945401954630423 the lambda is 2.0 the regulation term lambda/alpha is 6.909560292632447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3332523436816035 the lambda is 2.0 the regulation term lambda/alpha is 6.001458168020697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3341334539002502 the lambda is 2.0 the regulation term lambda/alpha is 5.985632317430465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35902525910409133 the lambda is 2.0 the regulation term lambda/alpha is 5.570638692639018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3478214132024228 the lambda is 2.0 the regulation term lambda/alpha is 5.750077264035648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2876660529382811 the lambda is 2.0 the regulation term lambda/alpha is 6.952506142353546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36312465197122695 the lambda is 2.0 the regulation term lambda/alpha is 5.507750545557768 310 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31433186797470314 the lambda is 2.0 the regulation term lambda/alpha is 6.362701984009322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36705486645944296 the lambda is 2.0 the regulation term lambda/alpha is 5.4487766891410665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3837809053073845 the lambda is 2.0 the regulation term lambda/alpha is 5.211306691764993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.349261575478661 the lambda is 2.0 the regulation term lambda/alpha is 5.726367113986162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32836770349546224 the lambda is 2.0 the regulation term lambda/alpha is 6.090732976203423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.293432739110318 the lambda is 2.0 the regulation term lambda/alpha is 6.81587203276621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3080585030114458 the lambda is 2.0 the regulation term lambda/alpha is 6.492273319674253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33460455636791636 the lambda is 2.0 the regulation term lambda/alpha is 5.977204918276392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24335560928410455 the lambda is 2.0 the regulation term lambda/alpha is 8.218425726382613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3229265237741079 the lambda is 2.0 the regulation term lambda/alpha is 6.193359333341819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3380998024960165 the lambda is 2.0 the regulation term lambda/alpha is 5.915413097656465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2666694238649157 the lambda is 2.0 the regulation term lambda/alpha is 7.499922454601026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3496890517418146 the lambda is 2.0 the regulation term lambda/alpha is 5.719366934818014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28483553316682314 the lambda is 2.0 the regulation term lambda/alpha is 7.0215958583672755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35604536738959225 the lambda is 2.0 the regulation term lambda/alpha is 5.6172616839908445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31120313135590727 the lambda is 2.0 the regulation term lambda/alpha is 6.4266705520797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3412518062255852 the lambda is 2.0 the regulation term lambda/alpha is 5.860774839907795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2568684706486764 the lambda is 2.0 the regulation term lambda/alpha is 7.786085987701604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2742145194763079 the lambda is 2.0 the regulation term lambda/alpha is 7.2935598152117525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32521149960267665 the lambda is 2.0 the regulation term lambda/alpha is 6.1498440320944265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30710799370904013 the lambda is 2.0 the regulation term lambda/alpha is 6.512367118307046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2892519205109435 the lambda is 2.0 the regulation term lambda/alpha is 6.914387971796828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3217154447713795 the lambda is 2.0 the regulation term lambda/alpha is 6.216673872842068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31434211230527037 the lambda is 2.0 the regulation term lambda/alpha is 6.362494625148154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24489035459179292 the lambda is 2.0 the regulation term lambda/alpha is 8.166920266556822 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32688151737752585 the lambda is 2.0 the regulation term lambda/alpha is 6.118424853278372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2847833907940662 the lambda is 2.0 the regulation term lambda/alpha is 7.022881476420963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2784557510423224 the lambda is 2.0 the regulation term lambda/alpha is 7.18246971920512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37089283151511876 the lambda is 2.0 the regulation term lambda/alpha is 5.392393246938432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36398862416412936 the lambda is 2.0 the regulation term lambda/alpha is 5.4946772157861785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28755532623038077 the lambda is 2.0 the regulation term lambda/alpha is 6.955183290180686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38362329869380357 the lambda is 2.0 the regulation term lambda/alpha is 5.213447688943259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3419497983940386 the lambda is 2.0 the regulation term lambda/alpha is 5.848811753634498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28568698729204484 the lambda is 2.0 the regulation term lambda/alpha is 7.000668875252238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3270435971945308 the lambda is 2.0 the regulation term lambda/alpha is 6.115392617854456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38861328249127364 the lambda is 2.0 the regulation term lambda/alpha is 5.14650448172705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33799852889513704 the lambda is 2.0 the regulation term lambda/alpha is 5.917185517160915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3029449150815734 the lambda is 2.0 the regulation term lambda/alpha is 6.601860273711687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38700004384152525 the lambda is 2.0 the regulation term lambda/alpha is 5.167958070875544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3101056488358119 the lambda is 2.0 the regulation term lambda/alpha is 6.449414925230586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3412396869380907 the lambda is 2.0 the regulation term lambda/alpha is 5.860982988074448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30100041049099513 the lambda is 2.0 the regulation term lambda/alpha is 6.644509210926252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3344701056104387 the lambda is 2.0 the regulation term lambda/alpha is 5.9796076434090155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3151459972554275 the lambda is 2.0 the regulation term lambda/alpha is 6.346264961058633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3049665936475577 the lambda is 2.0 the regulation term lambda/alpha is 6.558095350966048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3010975203247099 the lambda is 2.0 the regulation term lambda/alpha is 6.642366226872802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27259187794881073 the lambda is 2.0 the regulation term lambda/alpha is 7.336975756759614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3625958508611563 the lambda is 2.0 the regulation term lambda/alpha is 5.515782917123979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3321036253220068 the lambda is 2.0 the regulation term lambda/alpha is 6.022216704381968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3394179747791088 the lambda is 2.0 the regulation term lambda/alpha is 5.892439848837081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3352785819166181 the lambda is 2.0 the regulation term lambda/alpha is 5.965188675539641 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34662430417210877 the lambda is 2.0 the regulation term lambda/alpha is 5.769935852527362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3182262448489377 the lambda is 2.0 the regulation term lambda/alpha is 6.28483675489871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24453087716546193 the lambda is 2.0 the regulation term lambda/alpha is 8.178926208352408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30151864847829796 the lambda is 2.0 the regulation term lambda/alpha is 6.633088898791451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2887502772849299 the lambda is 2.0 the regulation term lambda/alpha is 6.9264002750254035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34353119622911843 the lambda is 2.0 the regulation term lambda/alpha is 5.821887566409248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2773952160431786 the lambda is 2.0 the regulation term lambda/alpha is 7.209929675530832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32066250567508103 the lambda is 2.0 the regulation term lambda/alpha is 6.237087169856235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39120557404493067 the lambda is 2.0 the regulation term lambda/alpha is 5.112401593159039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4247902225176871 the lambda is 2.0 the regulation term lambda/alpha is 4.708206295677452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.26585913251842824 the lambda is 2.0 the regulation term lambda/alpha is 7.522780884201405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27224868003828284 the lambda is 2.0 the regulation term lambda/alpha is 7.346224781397528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2988809661127396 the lambda is 2.0 the regulation term lambda/alpha is 6.691627191962397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27416610387938706 the lambda is 2.0 the regulation term lambda/alpha is 7.2948478010244955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31248665575222623 the lambda is 2.0 the regulation term lambda/alpha is 6.400273301864832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31859487401705977 the lambda is 2.0 the regulation term lambda/alpha is 6.277564904866945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27782896653892253 the lambda is 2.0 the regulation term lambda/alpha is 7.198673431770511 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37763761556851405 the lambda is 2.0 the regulation term lambda/alpha is 5.2960825869772075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31705467001585846 the lambda is 2.0 the regulation term lambda/alpha is 6.308060372994865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3331405014346364 the lambda is 2.0 the regulation term lambda/alpha is 6.003472983282426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3702292542852124 the lambda is 2.0 the regulation term lambda/alpha is 5.4020582567450655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3504207642241651 the lambda is 2.0 the regulation term lambda/alpha is 5.707424342926764 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3331656131656273 the lambda is 2.0 the regulation term lambda/alpha is 6.003020482806357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26812148343643705 the lambda is 2.0 the regulation term lambda/alpha is 7.459305290894885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3168673172140596 the lambda is 2.0 the regulation term lambda/alpha is 6.311790113238157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35091488880176963 the lambda is 2.0 the regulation term lambda/alpha is 5.699387697196832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3515033455082154 the lambda is 2.0 the regulation term lambda/alpha is 5.689846271899155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3652625289493188 the lambda is 2.0 the regulation term lambda/alpha is 5.475513751035507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3310750935191657 the lambda is 2.0 the regulation term lambda/alpha is 6.040925575950102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2787103015795069 the lambda is 2.0 the regulation term lambda/alpha is 7.175909855737664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33224320615510955 the lambda is 2.0 the regulation term lambda/alpha is 6.019686672137064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3053410519454223 the lambda is 2.0 the regulation term lambda/alpha is 6.550052759880733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3525960307076831 the lambda is 2.0 the regulation term lambda/alpha is 5.67221359805404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.323126290647923 the lambda is 2.0 the regulation term lambda/alpha is 6.189530403080669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3451050230022901 the lambda is 2.0 the regulation term lambda/alpha is 5.795337264583158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3229119868208672 the lambda is 2.0 the regulation term lambda/alpha is 6.193638147937456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2684156033589765 the lambda is 2.0 the regulation term lambda/alpha is 7.4511316591577526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31566037727608115 the lambda is 2.0 the regulation term lambda/alpha is 6.335923492389325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2810083885284223 the lambda is 2.0 the regulation term lambda/alpha is 7.117225256062817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26281404341482517 the lambda is 2.0 the regulation term lambda/alpha is 7.609943418598845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3442994700887478 the lambda is 2.0 the regulation term lambda/alpha is 5.808896538482831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2498187251650795 the lambda is 2.0 the regulation term lambda/alpha is 8.005805003921967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24467320033842635 the lambda is 2.0 the regulation term lambda/alpha is 8.174168634871519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3113053345674869 the lambda is 2.0 the regulation term lambda/alpha is 6.424560641656549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3171681255900921 the lambda is 2.0 the regulation term lambda/alpha is 6.305803889590087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3742474910783897 the lambda is 2.0 the regulation term lambda/alpha is 5.344057201925452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3124992883711972 the lambda is 2.0 the regulation term lambda/alpha is 6.4000145741910694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3273644544039982 the lambda is 2.0 the regulation term lambda/alpha is 6.109398785036734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36054305024328503 the lambda is 2.0 the regulation term lambda/alpha is 5.54718777313958 320 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3044202638841401 the lambda is 2.0 the regulation term lambda/alpha is 6.569864878512765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28040793175137013 the lambda is 2.0 the regulation term lambda/alpha is 7.132465859679547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28847025989303643 the lambda is 2.0 the regulation term lambda/alpha is 6.933123715219696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3142127320141507 the lambda is 2.0 the regulation term lambda/alpha is 6.365114447080805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33502070253874283 the lambda is 2.0 the regulation term lambda/alpha is 5.969780329526692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36371591270764075 the lambda is 2.0 the regulation term lambda/alpha is 5.4987970834468936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2899318347433238 the lambda is 2.0 the regulation term lambda/alpha is 6.898173157737566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34363739620530764 the lambda is 2.0 the regulation term lambda/alpha is 5.820088331728283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3702256792445025 the lambda is 2.0 the regulation term lambda/alpha is 5.402110421085001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3518391104028585 the lambda is 2.0 the regulation term lambda/alpha is 5.684416373466795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3153104511649007 the lambda is 2.0 the regulation term lambda/alpha is 6.342954991219249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3129708868861944 the lambda is 2.0 the regulation term lambda/alpha is 6.390370746296476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39215722301562195 the lambda is 2.0 the regulation term lambda/alpha is 5.099995314686141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2658600111178354 the lambda is 2.0 the regulation term lambda/alpha is 7.522756023332719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27827671422620653 the lambda is 2.0 the regulation term lambda/alpha is 7.187090754471943 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3341501334588898 the lambda is 2.0 the regulation term lambda/alpha is 5.985333536447797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 5 iterations the alpha is 0.2276501823818891 the lambda is 2.0 the regulation term lambda/alpha is 8.785409170658813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3336868081518744 the lambda is 2.0 the regulation term lambda/alpha is 5.993644193119312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.340894174433118 the lambda is 2.0 the regulation term lambda/alpha is 5.866923373876522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2540693899958674 the lambda is 2.0 the regulation term lambda/alpha is 7.871865241352101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.313413280772776 the lambda is 2.0 the regulation term lambda/alpha is 6.381350512871201 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2988969573558158 the lambda is 2.0 the regulation term lambda/alpha is 6.691269184179553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3572604450564043 the lambda is 2.0 the regulation term lambda/alpha is 5.598156828372757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2712767639672108 the lambda is 2.0 the regulation term lambda/alpha is 7.372544447786689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3766190723953021 the lambda is 2.0 the regulation term lambda/alpha is 5.31040551738385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3397641839939751 the lambda is 2.0 the regulation term lambda/alpha is 5.886435634532523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3391594405342 the lambda is 2.0 the regulation term lambda/alpha is 5.8969315341771384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36705953287420967 the lambda is 2.0 the regulation term lambda/alpha is 5.448707419037104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44039648385690927 the lambda is 2.0 the regulation term lambda/alpha is 4.541362325340061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35328689681183195 the lambda is 2.0 the regulation term lambda/alpha is 5.661121366369957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2901693773923669 the lambda is 2.0 the regulation term lambda/alpha is 6.892526075539669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33780461468710393 the lambda is 2.0 the regulation term lambda/alpha is 5.920582233172057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3295963375599166 the lambda is 2.0 the regulation term lambda/alpha is 6.068028591599337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29934420588548694 the lambda is 2.0 the regulation term lambda/alpha is 6.681271795737022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35932560901636323 the lambda is 2.0 the regulation term lambda/alpha is 5.5659823564340565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2889777859025594 the lambda is 2.0 the regulation term lambda/alpha is 6.920947206213218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33871533455160985 the lambda is 2.0 the regulation term lambda/alpha is 5.904663285019537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2633025358242571 the lambda is 2.0 the regulation term lambda/alpha is 7.595825060093277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34581163994408826 the lambda is 2.0 the regulation term lambda/alpha is 5.78349531647739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31750045964947715 the lambda is 2.0 the regulation term lambda/alpha is 6.299203478974533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3191093164412122 the lambda is 2.0 the regulation term lambda/alpha is 6.26744471864534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41501092651112437 the lambda is 2.0 the regulation term lambda/alpha is 4.819150225304707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27276940807617855 the lambda is 2.0 the regulation term lambda/alpha is 7.33220053563134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30022533542765817 the lambda is 2.0 the regulation term lambda/alpha is 6.661662971084986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27060204313666714 the lambda is 2.0 the regulation term lambda/alpha is 7.390927196325355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2978257952771824 the lambda is 2.0 the regulation term lambda/alpha is 6.715335043892445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3309528151834918 the lambda is 2.0 the regulation term lambda/alpha is 6.043157538609032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32943808159315474 the lambda is 2.0 the regulation term lambda/alpha is 6.070943560404576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33200601774395155 the lambda is 2.0 the regulation term lambda/alpha is 6.023987196347846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3129573180549628 the lambda is 2.0 the regulation term lambda/alpha is 6.390647812391951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29011823716034657 the lambda is 2.0 the regulation term lambda/alpha is 6.893741047015298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.328974053728618 the lambda is 2.0 the regulation term lambda/alpha is 6.079506810132415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3015822846445069 the lambda is 2.0 the regulation term lambda/alpha is 6.63168926635568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37270434373100203 the lambda is 2.0 the regulation term lambda/alpha is 5.36618376909364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2947763261367125 the lambda is 2.0 the regulation term lambda/alpha is 6.7848053682317495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.304361810366623 the lambda is 2.0 the regulation term lambda/alpha is 6.5711266390184555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2953098176291929 the lambda is 2.0 the regulation term lambda/alpha is 6.7725482886292285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3099755635408552 the lambda is 2.0 the regulation term lambda/alpha is 6.452121506463193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2590063159385929 the lambda is 2.0 the regulation term lambda/alpha is 7.721819418775001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3442332095399121 the lambda is 2.0 the regulation term lambda/alpha is 5.810014677761967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2967596276821529 the lambda is 2.0 the regulation term lambda/alpha is 6.739461211826692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3331025619125268 the lambda is 2.0 the regulation term lambda/alpha is 6.004156763361078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3474647668223561 the lambda is 2.0 the regulation term lambda/alpha is 5.755979284721304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2966822866262951 the lambda is 2.0 the regulation term lambda/alpha is 6.741218098130767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36802272659647833 the lambda is 2.0 the regulation term lambda/alpha is 5.434446993250276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44036608645325415 the lambda is 2.0 the regulation term lambda/alpha is 4.541675804574711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.347512488188249 the lambda is 2.0 the regulation term lambda/alpha is 5.755188857893911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29761682274203344 the lambda is 2.0 the regulation term lambda/alpha is 6.720050236318625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32049087235821533 the lambda is 2.0 the regulation term lambda/alpha is 6.240427333495424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3605526626359463 the lambda is 2.0 the regulation term lambda/alpha is 5.547039884210813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3429601837521805 the lambda is 2.0 the regulation term lambda/alpha is 5.831580733713332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3442318217587309 the lambda is 2.0 the regulation term lambda/alpha is 5.810038101014911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31309391344239906 the lambda is 2.0 the regulation term lambda/alpha is 6.387859725570637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38989290591562464 the lambda is 2.0 the regulation term lambda/alpha is 5.129613721242758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2491514744752502 the lambda is 2.0 the regulation term lambda/alpha is 8.02724529008827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3130418114959502 the lambda is 2.0 the regulation term lambda/alpha is 6.388922905992939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3394889400678817 the lambda is 2.0 the regulation term lambda/alpha is 5.891208118886273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2601309493608983 the lambda is 2.0 the regulation term lambda/alpha is 7.688435401145815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3769945560778896 the lambda is 2.0 the regulation term lambda/alpha is 5.305116394271716 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2634207381325416 the lambda is 2.0 the regulation term lambda/alpha is 7.592416657012361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29322006690153435 the lambda is 2.0 the regulation term lambda/alpha is 6.8208155776446775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32825547852139647 the lambda is 2.0 the regulation term lambda/alpha is 6.092815294382468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28118889950561393 the lambda is 2.0 the regulation term lambda/alpha is 7.112656308682165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29868935887857856 the lambda is 2.0 the regulation term lambda/alpha is 6.695919826233342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3227566095665134 the lambda is 2.0 the regulation term lambda/alpha is 6.196619807991389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39125575017301245 the lambda is 2.0 the regulation term lambda/alpha is 5.111745959300546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30723172081335953 the lambda is 2.0 the regulation term lambda/alpha is 6.509744484408176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36125489832147006 the lambda is 2.0 the regulation term lambda/alpha is 5.536257111786645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33217753204492617 the lambda is 2.0 the regulation term lambda/alpha is 6.020876811528316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3022424174737099 the lambda is 2.0 the regulation term lambda/alpha is 6.61720488049619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33246548558544836 the lambda is 2.0 the regulation term lambda/alpha is 6.015662036250592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.336188921471749 the lambda is 2.0 the regulation term lambda/alpha is 5.949036010004471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.21832534956811378 the lambda is 2.0 the regulation term lambda/alpha is 9.160640319396508 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.279756370661213 the lambda is 2.0 the regulation term lambda/alpha is 7.1490775894501954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32577069133751047 the lambda is 2.0 the regulation term lambda/alpha is 6.139287705068367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33195180185731316 the lambda is 2.0 the regulation term lambda/alpha is 6.02497106149068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3259152509517495 the lambda is 2.0 the regulation term lambda/alpha is 6.136564625802345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3331422328934397 the lambda is 2.0 the regulation term lambda/alpha is 6.00344178109573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27718337040387236 the lambda is 2.0 the regulation term lambda/alpha is 7.215440078839806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3609208669783083 the lambda is 2.0 the regulation term lambda/alpha is 5.541380903643352 330 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31695571121415267 the lambda is 2.0 the regulation term lambda/alpha is 6.310029853504329 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3217716979070808 the lambda is 2.0 the regulation term lambda/alpha is 6.2155870544510945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28258094182785215 the lambda is 2.0 the regulation term lambda/alpha is 7.077618140357097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32537219101547343 the lambda is 2.0 the regulation term lambda/alpha is 6.146806811479743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29492275944642665 the lambda is 2.0 the regulation term lambda/alpha is 6.781436616672184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.381993894967821 the lambda is 2.0 the regulation term lambda/alpha is 5.235685769712312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3145041146839289 the lambda is 2.0 the regulation term lambda/alpha is 6.359217277681612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3237695382718513 the lambda is 2.0 the regulation term lambda/alpha is 6.177233382347141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2727673452584719 the lambda is 2.0 the regulation term lambda/alpha is 7.332255985791913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32673722753251383 the lambda is 2.0 the regulation term lambda/alpha is 6.121126799978673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40185560694321 the lambda is 2.0 the regulation term lambda/alpha is 4.9769120187556295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3411495874517946 the lambda is 2.0 the regulation term lambda/alpha is 5.862530905984477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3285395092962522 the lambda is 2.0 the regulation term lambda/alpha is 6.087547900354811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28835452472836504 the lambda is 2.0 the regulation term lambda/alpha is 6.935906422429246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.356266452180939 the lambda is 2.0 the regulation term lambda/alpha is 5.613775834790779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2756568311282307 the lambda is 2.0 the regulation term lambda/alpha is 7.255397922896513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25317427579040674 the lambda is 2.0 the regulation term lambda/alpha is 7.899696735602487 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3500616237537511 the lambda is 2.0 the regulation term lambda/alpha is 5.713279789294724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25583542167943807 the lambda is 2.0 the regulation term lambda/alpha is 7.8175257627382075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26539102608594844 the lambda is 2.0 the regulation term lambda/alpha is 7.536049841234226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37078556171496807 the lambda is 2.0 the regulation term lambda/alpha is 5.393953288659738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40235197129507627 the lambda is 2.0 the regulation term lambda/alpha is 4.970772216083522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3877067223413285 the lambda is 2.0 the regulation term lambda/alpha is 5.158538360960488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2596340013092167 the lambda is 2.0 the regulation term lambda/alpha is 7.703151320377553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3472404879784288 the lambda is 2.0 the regulation term lambda/alpha is 5.759697008962398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3190807222156372 the lambda is 2.0 the regulation term lambda/alpha is 6.268006371906055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3214141884993072 the lambda is 2.0 the regulation term lambda/alpha is 6.222500659781268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3826549609143293 the lambda is 2.0 the regulation term lambda/alpha is 5.226640718889752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2801574853097452 the lambda is 2.0 the regulation term lambda/alpha is 7.138841918818546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3017754345204564 the lambda is 2.0 the regulation term lambda/alpha is 6.627444686404473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41133404672839363 the lambda is 2.0 the regulation term lambda/alpha is 4.862228196054513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2972032651981554 the lambda is 2.0 the regulation term lambda/alpha is 6.729401168141719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3622715576032356 the lambda is 2.0 the regulation term lambda/alpha is 5.520720459623897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3515715910671774 the lambda is 2.0 the regulation term lambda/alpha is 5.688741783513006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26669040360802176 the lambda is 2.0 the regulation term lambda/alpha is 7.4993324579446625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31170039818414025 the lambda is 2.0 the regulation term lambda/alpha is 6.416417853975532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2974507132393338 the lambda is 2.0 the regulation term lambda/alpha is 6.723803006620349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3544231673600623 the lambda is 2.0 the regulation term lambda/alpha is 5.642971973014897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37393109057362633 the lambda is 2.0 the regulation term lambda/alpha is 5.348579057526119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28086406603248804 the lambda is 2.0 the regulation term lambda/alpha is 7.120882454819466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3608331590365004 the lambda is 2.0 the regulation term lambda/alpha is 5.542727850567881 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33457577185268383 the lambda is 2.0 the regulation term lambda/alpha is 5.977719154394165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.275038883463297 the lambda is 2.0 the regulation term lambda/alpha is 7.2716990951095575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3037525663417275 the lambda is 2.0 the regulation term lambda/alpha is 6.584306510022903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32607996042479165 the lambda is 2.0 the regulation term lambda/alpha is 6.1334649249667335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3256703609085416 the lambda is 2.0 the regulation term lambda/alpha is 6.141179057315757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25499080735230806 the lambda is 2.0 the regulation term lambda/alpha is 7.8434200070463715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34969991449263266 the lambda is 2.0 the regulation term lambda/alpha is 5.719189273756986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28462014831351745 the lambda is 2.0 the regulation term lambda/alpha is 7.026909415411242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3369674263635237 the lambda is 2.0 the regulation term lambda/alpha is 5.93529179239533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25467526191360806 the lambda is 2.0 the regulation term lambda/alpha is 7.8531380903357935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30060589548240985 the lambda is 2.0 the regulation term lambda/alpha is 6.653229461086971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3720968594667209 the lambda is 2.0 the regulation term lambda/alpha is 5.374944585305949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24218568509033525 the lambda is 2.0 the regulation term lambda/alpha is 8.25812640104637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3255528374046351 the lambda is 2.0 the regulation term lambda/alpha is 6.143396002763651 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2615629233785485 the lambda is 2.0 the regulation term lambda/alpha is 7.646343656686725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29093734805392163 the lambda is 2.0 the regulation term lambda/alpha is 6.874332269053765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30818131375074354 the lambda is 2.0 the regulation term lambda/alpha is 6.489686138522974 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2866954792072164 the lambda is 2.0 the regulation term lambda/alpha is 6.976043031897443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40513666620570243 the lambda is 2.0 the regulation term lambda/alpha is 4.9366057600536415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3442744296426344 the lambda is 2.0 the regulation term lambda/alpha is 5.809319042590676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37745107487169555 the lambda is 2.0 the regulation term lambda/alpha is 5.298699972386744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2909223855160053 the lambda is 2.0 the regulation term lambda/alpha is 6.874685825405376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3268843275245813 the lambda is 2.0 the regulation term lambda/alpha is 6.118372254630661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27419744745010843 the lambda is 2.0 the regulation term lambda/alpha is 7.294013925362707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2515399713573935 the lambda is 2.0 the regulation term lambda/alpha is 7.951022611664197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2923374039214166 the lambda is 2.0 the regulation term lambda/alpha is 6.841409868090712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27358922458184814 the lambda is 2.0 the regulation term lambda/alpha is 7.310229425361273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3152809853774649 the lambda is 2.0 the regulation term lambda/alpha is 6.343547796279352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4242494951370965 the lambda is 2.0 the regulation term lambda/alpha is 4.71420714208204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39081643793463744 the lambda is 2.0 the regulation term lambda/alpha is 5.117492013819778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2968929996548472 the lambda is 2.0 the regulation term lambda/alpha is 6.736433672485033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2615485922082157 the lambda is 2.0 the regulation term lambda/alpha is 7.646762626838473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35319578991431366 the lambda is 2.0 the regulation term lambda/alpha is 5.662581653323801 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2990801025097782 the lambda is 2.0 the regulation term lambda/alpha is 6.687171708236965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32521194468970804 the lambda is 2.0 the regulation term lambda/alpha is 6.149835615380747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34340697998760844 the lambda is 2.0 the regulation term lambda/alpha is 5.823993443791295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2497983528742365 the lambda is 2.0 the regulation term lambda/alpha is 8.006457916905962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3352263524782352 the lambda is 2.0 the regulation term lambda/alpha is 5.966118072802321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28036194880421844 the lambda is 2.0 the regulation term lambda/alpha is 7.133635675348492 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27683112263530485 the lambda is 2.0 the regulation term lambda/alpha is 7.22462120935291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3373215173084018 the lambda is 2.0 the regulation term lambda/alpha is 5.929061436574373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3376451288879122 the lambda is 2.0 the regulation term lambda/alpha is 5.923378804804077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27236162882496434 the lambda is 2.0 the regulation term lambda/alpha is 7.343178290673676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2822108955919344 the lambda is 2.0 the regulation term lambda/alpha is 7.08689859689868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3805992063474311 the lambda is 2.0 the regulation term lambda/alpha is 5.254871704000071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2832025967583901 the lambda is 2.0 the regulation term lambda/alpha is 7.062082137990666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.309481710053643 the lambda is 2.0 the regulation term lambda/alpha is 6.462417438669757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3304121379969842 the lambda is 2.0 the regulation term lambda/alpha is 6.053046392678996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2912774038234203 the lambda is 2.0 the regulation term lambda/alpha is 6.866306736283774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30019001841453125 the lambda is 2.0 the regulation term lambda/alpha is 6.662446708132073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43350967586046346 the lambda is 2.0 the regulation term lambda/alpha is 4.6135071749673076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29923084535616196 the lambda is 2.0 the regulation term lambda/alpha is 6.683802926865657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2643681582750895 the lambda is 2.0 the regulation term lambda/alpha is 7.565207599316445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3246992572697215 the lambda is 2.0 the regulation term lambda/alpha is 6.159545965141023 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34748599587374246 the lambda is 2.0 the regulation term lambda/alpha is 5.755627633197315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28632064425217346 the lambda is 2.0 the regulation term lambda/alpha is 6.985175676814013 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3314985770920772 the lambda is 2.0 the regulation term lambda/alpha is 6.033208400301758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26304580897951574 the lambda is 2.0 the regulation term lambda/alpha is 7.603238415996762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3848275523866998 the lambda is 2.0 the regulation term lambda/alpha is 5.197133073232422 340 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4220391781784348 the lambda is 2.0 the regulation term lambda/alpha is 4.738896537122949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36124548346627583 the lambda is 2.0 the regulation term lambda/alpha is 5.536401398875096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.309384449963762 the lambda is 2.0 the regulation term lambda/alpha is 6.464449005870394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2986563731777349 the lambda is 2.0 the regulation term lambda/alpha is 6.696659370499252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32500461597674696 the lambda is 2.0 the regulation term lambda/alpha is 6.153758751977522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2725667887874398 the lambda is 2.0 the regulation term lambda/alpha is 7.337651108916621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25556997599861714 the lambda is 2.0 the regulation term lambda/alpha is 7.825645372407993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28100089768879377 the lambda is 2.0 the regulation term lambda/alpha is 7.117414984969137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3376754439367951 the lambda is 2.0 the regulation term lambda/alpha is 5.922847029333743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24106066664353296 the lambda is 2.0 the regulation term lambda/alpha is 8.296666676681387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34806289354290937 the lambda is 2.0 the regulation term lambda/alpha is 5.746087954513425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34651559203783106 the lambda is 2.0 the regulation term lambda/alpha is 5.771746051131947 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31047611158963545 the lambda is 2.0 the regulation term lambda/alpha is 6.441719428138978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2753942197747935 the lambda is 2.0 the regulation term lambda/alpha is 7.262316549837251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29560047877870144 the lambda is 2.0 the regulation term lambda/alpha is 6.765888906077454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.43999376409177277 the lambda is 2.0 the regulation term lambda/alpha is 4.545518966907097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2869737277810871 the lambda is 2.0 the regulation term lambda/alpha is 6.969279088591919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36337677776286 the lambda is 2.0 the regulation term lambda/alpha is 5.503929041126568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27520206973876454 the lambda is 2.0 the regulation term lambda/alpha is 7.267387203513764 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2877090241524906 the lambda is 2.0 the regulation term lambda/alpha is 6.951467740337427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42344891231008275 the lambda is 2.0 the regulation term lambda/alpha is 4.723119936922738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38051607241879387 the lambda is 2.0 the regulation term lambda/alpha is 5.256019771482375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3390929937391704 the lambda is 2.0 the regulation term lambda/alpha is 5.898087064395072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2729216509490765 the lambda is 2.0 the regulation term lambda/alpha is 7.328110441385147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3211358422106115 the lambda is 2.0 the regulation term lambda/alpha is 6.227894047056679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.352716639397115 the lambda is 2.0 the regulation term lambda/alpha is 5.670274029086133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3487188649002495 the lambda is 2.0 the regulation term lambda/alpha is 5.735279049420217 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25773725524003593 the lambda is 2.0 the regulation term lambda/alpha is 7.759840532705912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30409673333280773 the lambda is 2.0 the regulation term lambda/alpha is 6.576854601759802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33816706548709125 the lambda is 2.0 the regulation term lambda/alpha is 5.914236494672322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25588337975053815 the lambda is 2.0 the regulation term lambda/alpha is 7.816060589592841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2829184705383248 the lambda is 2.0 the regulation term lambda/alpha is 7.069174367422841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.387936532131842 the lambda is 2.0 the regulation term lambda/alpha is 5.155482493513374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33867462793095987 the lambda is 2.0 the regulation term lambda/alpha is 5.905372989463231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30905674028075214 the lambda is 2.0 the regulation term lambda/alpha is 6.471303612997302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27408409754799334 the lambda is 2.0 the regulation term lambda/alpha is 7.297030429318473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3267839087466089 the lambda is 2.0 the regulation term lambda/alpha is 6.1202523945290634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29869279855693776 the lambda is 2.0 the regulation term lambda/alpha is 6.695842717542966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3267567396919468 the lambda is 2.0 the regulation term lambda/alpha is 6.120761279126239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24653475663450386 the lambda is 2.0 the regulation term lambda/alpha is 8.11244640432208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33809431779254073 the lambda is 2.0 the regulation term lambda/alpha is 5.915509059892652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38722460127554104 the lambda is 2.0 the regulation term lambda/alpha is 5.164961093411628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3370176883155844 the lambda is 2.0 the regulation term lambda/alpha is 5.934406618228281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2244954490361501 the lambda is 2.0 the regulation term lambda/alpha is 8.908866565388342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3378224637411053 the lambda is 2.0 the regulation term lambda/alpha is 5.920269415632249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2834068965786722 the lambda is 2.0 the regulation term lambda/alpha is 7.056991287594905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3016372685993081 the lambda is 2.0 the regulation term lambda/alpha is 6.630480408761358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2976327947567517 the lambda is 2.0 the regulation term lambda/alpha is 6.719689614965156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36054383906134324 the lambda is 2.0 the regulation term lambda/alpha is 5.547175636690656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3005060182354506 the lambda is 2.0 the regulation term lambda/alpha is 6.655440752048342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35547473615692365 the lambda is 2.0 the regulation term lambda/alpha is 5.626278878837408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30040621136034307 the lambda is 2.0 the regulation term lambda/alpha is 6.657651953810507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36956686412663214 the lambda is 2.0 the regulation term lambda/alpha is 5.411740591858635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2725024508094082 the lambda is 2.0 the regulation term lambda/alpha is 7.339383532366196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2941477484638157 the lambda is 2.0 the regulation term lambda/alpha is 6.799304126735575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25321583539055337 the lambda is 2.0 the regulation term lambda/alpha is 7.898400180680854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33479893126991483 the lambda is 2.0 the regulation term lambda/alpha is 5.973734720161339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3347646304138958 the lambda is 2.0 the regulation term lambda/alpha is 5.974346804581006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34026327996021044 the lambda is 2.0 the regulation term lambda/alpha is 5.877801449024635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3028755012497359 the lambda is 2.0 the regulation term lambda/alpha is 6.603373306020221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.404937844345766 the lambda is 2.0 the regulation term lambda/alpha is 4.9390296015213915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3827890487076451 the lambda is 2.0 the regulation term lambda/alpha is 5.224809870481689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.303522579529246 the lambda is 2.0 the regulation term lambda/alpha is 6.58929560727224 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.304584771911214 the lambda is 2.0 the regulation term lambda/alpha is 6.566316455843685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33458341069166775 the lambda is 2.0 the regulation term lambda/alpha is 5.977582677711064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2836625371840782 the lambda is 2.0 the regulation term lambda/alpha is 7.050631429352733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3569453413007169 the lambda is 2.0 the regulation term lambda/alpha is 5.603098762157686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3677075621761627 the lambda is 2.0 the regulation term lambda/alpha is 5.4391048912990065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2950436853747214 the lambda is 2.0 the regulation term lambda/alpha is 6.778657192611636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26951969708829365 the lambda is 2.0 the regulation term lambda/alpha is 7.4206079244175145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3404385652840801 the lambda is 2.0 the regulation term lambda/alpha is 5.874775081169471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3633540605896187 the lambda is 2.0 the regulation term lambda/alpha is 5.5042731509717475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32397672448346454 the lambda is 2.0 the regulation term lambda/alpha is 6.1732829825621565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.301384644233766 the lambda is 2.0 the regulation term lambda/alpha is 6.636038160088607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35433460868790384 the lambda is 2.0 the regulation term lambda/alpha is 5.644382318187807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29945300975069084 the lambda is 2.0 the regulation term lambda/alpha is 6.67884420886301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30571883880102296 the lambda is 2.0 the regulation term lambda/alpha is 6.5419586435813315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3687484885200511 the lambda is 2.0 the regulation term lambda/alpha is 5.423751045128007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3083344161488211 the lambda is 2.0 the regulation term lambda/alpha is 6.486463707102606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31962142828438894 the lambda is 2.0 the regulation term lambda/alpha is 6.257402736528866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2616681896759881 the lambda is 2.0 the regulation term lambda/alpha is 7.643267614900037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28846717779557196 the lambda is 2.0 the regulation term lambda/alpha is 6.933197791456677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2736764300966914 the lambda is 2.0 the regulation term lambda/alpha is 7.307900060276981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3537497139538443 the lambda is 2.0 the regulation term lambda/alpha is 5.653714819006048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30420040350987687 the lambda is 2.0 the regulation term lambda/alpha is 6.5746132382597695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3321672331872209 the lambda is 2.0 the regulation term lambda/alpha is 6.021063489042976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3287891595930774 the lambda is 2.0 the regulation term lambda/alpha is 6.082925612496713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3565824927971695 the lambda is 2.0 the regulation term lambda/alpha is 5.608800320821235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3528838579000082 the lambda is 2.0 the regulation term lambda/alpha is 5.667587097641378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32654142691039306 the lambda is 2.0 the regulation term lambda/alpha is 6.124797147250858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31300036637710477 the lambda is 2.0 the regulation term lambda/alpha is 6.389768878386512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2884053985169469 the lambda is 2.0 the regulation term lambda/alpha is 6.934682950750933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2873687999735426 the lambda is 2.0 the regulation term lambda/alpha is 6.959697782724275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2526367873710385 the lambda is 2.0 the regulation term lambda/alpha is 7.916503454671755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30125961057929906 the lambda is 2.0 the regulation term lambda/alpha is 6.638792356380445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29493546348177174 the lambda is 2.0 the regulation term lambda/alpha is 6.781144513411858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35013105437429476 the lambda is 2.0 the regulation term lambda/alpha is 5.7121468519098375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29856609375491644 the lambda is 2.0 the regulation term lambda/alpha is 6.698684284096028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4807996551091748 the lambda is 2.0 the regulation term lambda/alpha is 4.159736760929793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3096172631917414 the lambda is 2.0 the regulation term lambda/alpha is 6.4595881359542595 350 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41010462799902664 the lambda is 2.0 the regulation term lambda/alpha is 4.876804267628862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3459359363256845 the lambda is 2.0 the regulation term lambda/alpha is 5.781417279866184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32607227305265446 the lambda is 2.0 the regulation term lambda/alpha is 6.133609525508592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3659787994972507 the lambda is 2.0 the regulation term lambda/alpha is 5.4647974220021025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26770870067111574 the lambda is 2.0 the regulation term lambda/alpha is 7.470806869504891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.292881995874626 the lambda is 2.0 the regulation term lambda/alpha is 6.828688783096589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31396335755866245 the lambda is 2.0 the regulation term lambda/alpha is 6.3701701228822865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3291288486773169 the lambda is 2.0 the regulation term lambda/alpha is 6.076647513694041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33855944376901953 the lambda is 2.0 the regulation term lambda/alpha is 5.907382106181891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37084221788050625 the lambda is 2.0 the regulation term lambda/alpha is 5.3931292165997275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28775879417717276 the lambda is 2.0 the regulation term lambda/alpha is 6.950265432265477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3144300239303699 the lambda is 2.0 the regulation term lambda/alpha is 6.360715732550074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2945560747963596 the lambda is 2.0 the regulation term lambda/alpha is 6.789878638159792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2963292097310773 the lambda is 2.0 the regulation term lambda/alpha is 6.74925027409558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29809310382066734 the lambda is 2.0 the regulation term lambda/alpha is 6.7093132124358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27670466191709736 the lambda is 2.0 the regulation term lambda/alpha is 7.227923035858405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3126631858678372 the lambda is 2.0 the regulation term lambda/alpha is 6.396659697715101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2795184907898966 the lambda is 2.0 the regulation term lambda/alpha is 7.155161700924193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30776292845537206 the lambda is 2.0 the regulation term lambda/alpha is 6.498508478710473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3209074066924373 the lambda is 2.0 the regulation term lambda/alpha is 6.232327326482781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28315018589515994 the lambda is 2.0 the regulation term lambda/alpha is 7.063389323503839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3416655299685423 the lambda is 2.0 the regulation term lambda/alpha is 5.853678011311657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3548650442119633 the lambda is 2.0 the regulation term lambda/alpha is 5.635945361824329 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3611606953516494 the lambda is 2.0 the regulation term lambda/alpha is 5.537701155583031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29473034622481326 the lambda is 2.0 the regulation term lambda/alpha is 6.785863843400937 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27731048796604885 the lambda is 2.0 the regulation term lambda/alpha is 7.212132561841153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26261647731986215 the lambda is 2.0 the regulation term lambda/alpha is 7.615668370892188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33744261545230597 the lambda is 2.0 the regulation term lambda/alpha is 5.926933672319996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3161900017076396 the lambda is 2.0 the regulation term lambda/alpha is 6.325310696728704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3438194937298245 the lambda is 2.0 the regulation term lambda/alpha is 5.817005831471593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27567581456138796 the lambda is 2.0 the regulation term lambda/alpha is 7.254898305758472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27588513002316106 the lambda is 2.0 the regulation term lambda/alpha is 7.2493939772400795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37234556491226617 the lambda is 2.0 the regulation term lambda/alpha is 5.371354431121664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3159375560621737 the lambda is 2.0 the regulation term lambda/alpha is 6.330364850978393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30541772145368545 the lambda is 2.0 the regulation term lambda/alpha is 6.548408489463787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3191261305163619 the lambda is 2.0 the regulation term lambda/alpha is 6.267114500351008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3847118680405424 the lambda is 2.0 the regulation term lambda/alpha is 5.198695871241571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29226509712043386 the lambda is 2.0 the regulation term lambda/alpha is 6.843102442628854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24165609877279215 the lambda is 2.0 the regulation term lambda/alpha is 8.276223981751949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27337568511711824 the lambda is 2.0 the regulation term lambda/alpha is 7.315939598443695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34819276747226124 the lambda is 2.0 the regulation term lambda/alpha is 5.743944696264634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2851359695347599 the lambda is 2.0 the regulation term lambda/alpha is 7.014197483619082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2562604466757261 the lambda is 2.0 the regulation term lambda/alpha is 7.804559876268439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3542387262176489 the lambda is 2.0 the regulation term lambda/alpha is 5.645910093892936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38291181398519025 the lambda is 2.0 the regulation term lambda/alpha is 5.223134745268928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35532512015874756 the lambda is 2.0 the regulation term lambda/alpha is 5.628647924206613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3310466341016687 the lambda is 2.0 the regulation term lambda/alpha is 6.0414449022483465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3511149538719451 the lambda is 2.0 the regulation term lambda/alpha is 5.6961401898291655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3025619602466441 the lambda is 2.0 the regulation term lambda/alpha is 6.610216295431287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36065796237470693 the lambda is 2.0 the regulation term lambda/alpha is 5.545420339069327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3637828024436818 the lambda is 2.0 the regulation term lambda/alpha is 5.497786004630127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28665807781731956 the lambda is 2.0 the regulation term lambda/alpha is 6.97695322325629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26041811744234217 the lambda is 2.0 the regulation term lambda/alpha is 7.679957215122752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3031975437222815 the lambda is 2.0 the regulation term lambda/alpha is 6.596359506896041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3375768528734842 the lambda is 2.0 the regulation term lambda/alpha is 5.924576827397441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31173177119815076 the lambda is 2.0 the regulation term lambda/alpha is 6.415772098919971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28302412850630165 the lambda is 2.0 the regulation term lambda/alpha is 7.066535318226301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36351867199923027 the lambda is 2.0 the regulation term lambda/alpha is 5.50178066232657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3695544626784676 the lambda is 2.0 the regulation term lambda/alpha is 5.411922198163545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34791819189155204 the lambda is 2.0 the regulation term lambda/alpha is 5.748477793375664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31945883699046723 the lambda is 2.0 the regulation term lambda/alpha is 6.260587494906835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2673312167423138 the lambda is 2.0 the regulation term lambda/alpha is 7.481355991162985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29170997770330287 the lambda is 2.0 the regulation term lambda/alpha is 6.856124757015314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3219889928238798 the lambda is 2.0 the regulation term lambda/alpha is 6.2113924530766536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34013229958582547 the lambda is 2.0 the regulation term lambda/alpha is 5.880064911316488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.288134816071925 the lambda is 2.0 the regulation term lambda/alpha is 6.941195192117132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3141980302662019 the lambda is 2.0 the regulation term lambda/alpha is 6.365412279337064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37321521937731894 the lambda is 2.0 the regulation term lambda/alpha is 5.358838268538049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2901503870320822 the lambda is 2.0 the regulation term lambda/alpha is 6.8929771917859215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3290833760899708 the lambda is 2.0 the regulation term lambda/alpha is 6.077487182011904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37022575831672944 the lambda is 2.0 the regulation term lambda/alpha is 5.402109267310874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37412043591764665 the lambda is 2.0 the regulation term lambda/alpha is 5.3458720988987904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2793283779123584 the lambda is 2.0 the regulation term lambda/alpha is 7.160031554787163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3522875646025639 the lambda is 2.0 the regulation term lambda/alpha is 5.677180238412095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3062282506235694 the lambda is 2.0 the regulation term lambda/alpha is 6.531076071288069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3297074426056889 the lambda is 2.0 the regulation term lambda/alpha is 6.065983783059107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3054776582175391 the lambda is 2.0 the regulation term lambda/alpha is 6.547123647830719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3203354679624573 the lambda is 2.0 the regulation term lambda/alpha is 6.24345475298538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2981881029238416 the lambda is 2.0 the regulation term lambda/alpha is 6.7071757068416895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23129252304803732 the lambda is 2.0 the regulation term lambda/alpha is 8.647058597672949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32240233267735313 the lambda is 2.0 the regulation term lambda/alpha is 6.203429061419096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4298887650608891 the lambda is 2.0 the regulation term lambda/alpha is 4.652366292281962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2755596691769515 the lambda is 2.0 the regulation term lambda/alpha is 7.2579561659862994 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3468568104852971 the lambda is 2.0 the regulation term lambda/alpha is 5.766068128233504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2742225786947188 the lambda is 2.0 the regulation term lambda/alpha is 7.293345462360783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31805850124110485 the lambda is 2.0 the regulation term lambda/alpha is 6.2881513689957815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30566282118789506 the lambda is 2.0 the regulation term lambda/alpha is 6.543157562399691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2684966035104865 the lambda is 2.0 the regulation term lambda/alpha is 7.448883799090171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28800444796347513 the lambda is 2.0 the regulation term lambda/alpha is 6.944337193895148 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26488489180340313 the lambda is 2.0 the regulation term lambda/alpha is 7.550449504248792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2903261518988856 the lambda is 2.0 the regulation term lambda/alpha is 6.888804149812026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2580490810728995 the lambda is 2.0 the regulation term lambda/alpha is 7.750463561755507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33883896907500605 the lambda is 2.0 the regulation term lambda/alpha is 5.902508809597034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2925365170220198 the lambda is 2.0 the regulation term lambda/alpha is 6.836753306423812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26450227146620164 the lambda is 2.0 the regulation term lambda/alpha is 7.561371737616862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32468048305632197 the lambda is 2.0 the regulation term lambda/alpha is 6.159902132623913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3256368861518345 the lambda is 2.0 the regulation term lambda/alpha is 6.1418103570351095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2977833190847045 the lambda is 2.0 the regulation term lambda/alpha is 6.71629292784899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32686015734458573 the lambda is 2.0 the regulation term lambda/alpha is 6.118824687132302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3062749566097362 the lambda is 2.0 the regulation term lambda/alpha is 6.530080102332539 360 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2825725946142615 the lambda is 2.0 the regulation term lambda/alpha is 7.077827213676509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32107288152887525 the lambda is 2.0 the regulation term lambda/alpha is 6.229115303903773 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27657438571615545 the lambda is 2.0 the regulation term lambda/alpha is 7.231327640197936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3128219900821254 the lambda is 2.0 the regulation term lambda/alpha is 6.393412430740366 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3935955517843903 the lambda is 2.0 the regulation term lambda/alpha is 5.081358239270931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32955871814049104 the lambda is 2.0 the regulation term lambda/alpha is 6.068721262434936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4431997936932765 the lambda is 2.0 the regulation term lambda/alpha is 4.51263747966483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31629142775807667 the lambda is 2.0 the regulation term lambda/alpha is 6.323282341783065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33087851657746464 the lambda is 2.0 the regulation term lambda/alpha is 6.044514526623138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2934685857573067 the lambda is 2.0 the regulation term lambda/alpha is 6.815039486556712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3412128687510123 the lambda is 2.0 the regulation term lambda/alpha is 5.86144364167996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3288426479894962 the lambda is 2.0 the regulation term lambda/alpha is 6.081936185065276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2929156297031613 the lambda is 2.0 the regulation term lambda/alpha is 6.827904683771181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35740079737840935 the lambda is 2.0 the regulation term lambda/alpha is 5.595958416070451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3461639097457609 the lambda is 2.0 the regulation term lambda/alpha is 5.777609807645443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34032033414752005 the lambda is 2.0 the regulation term lambda/alpha is 5.876816044536004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3687800709931939 the lambda is 2.0 the regulation term lambda/alpha is 5.423286552913841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2785994784082807 the lambda is 2.0 the regulation term lambda/alpha is 7.178764337343981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42146170003180944 the lambda is 2.0 the regulation term lambda/alpha is 4.745389675619521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29030565696742205 the lambda is 2.0 the regulation term lambda/alpha is 6.889290484010234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41890867251561886 the lambda is 2.0 the regulation term lambda/alpha is 4.774310323989367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2893624262752492 the lambda is 2.0 the regulation term lambda/alpha is 6.911747408758409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3728478249554685 the lambda is 2.0 the regulation term lambda/alpha is 5.364118726557872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29321869932979766 the lambda is 2.0 the regulation term lambda/alpha is 6.820847389922088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35427329648269557 the lambda is 2.0 the regulation term lambda/alpha is 5.645359161575108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3168313079666042 the lambda is 2.0 the regulation term lambda/alpha is 6.3125074754632875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3178533224501349 the lambda is 2.0 the regulation term lambda/alpha is 6.292210459161589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2988486014546396 the lambda is 2.0 the regulation term lambda/alpha is 6.692351880735061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3671035281536384 the lambda is 2.0 the regulation term lambda/alpha is 5.4480544223017375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31743786041963595 the lambda is 2.0 the regulation term lambda/alpha is 6.300445691500398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.349088819278924 the lambda is 2.0 the regulation term lambda/alpha is 5.7292009641878225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30716866694467837 the lambda is 2.0 the regulation term lambda/alpha is 6.511080768404687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2873831479189798 the lambda is 2.0 the regulation term lambda/alpha is 6.959350311535484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34319684224564334 the lambda is 2.0 the regulation term lambda/alpha is 5.827559446390532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3162436727534182 the lambda is 2.0 the regulation term lambda/alpha is 6.3242372016070085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36465968227718165 the lambda is 2.0 the regulation term lambda/alpha is 5.4845657395153955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3590185113578031 the lambda is 2.0 the regulation term lambda/alpha is 5.57074339269033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3533193687391961 the lambda is 2.0 the regulation term lambda/alpha is 5.660601079235786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28510862344434423 the lambda is 2.0 the regulation term lambda/alpha is 7.014870247831763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3546112161185303 the lambda is 2.0 the regulation term lambda/alpha is 5.639979529952294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2890700293657343 the lambda is 2.0 the regulation term lambda/alpha is 6.91873870282685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29180257397161385 the lambda is 2.0 the regulation term lambda/alpha is 6.853949136838516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3398716919744343 the lambda is 2.0 the regulation term lambda/alpha is 5.8845736412506024 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2665646091674929 the lambda is 2.0 the regulation term lambda/alpha is 7.5028714661192035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3180842608571108 the lambda is 2.0 the regulation term lambda/alpha is 6.287642131713132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35393789059132524 the lambda is 2.0 the regulation term lambda/alpha is 5.650708932741259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32875988373976894 the lambda is 2.0 the regulation term lambda/alpha is 6.083467293056677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27983801954278836 the lambda is 2.0 the regulation term lambda/alpha is 7.14699168921967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25749761406517874 the lambda is 2.0 the regulation term lambda/alpha is 7.767062259045836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2984131543624572 the lambda is 2.0 the regulation term lambda/alpha is 6.702117419297037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3270654144458712 the lambda is 2.0 the regulation term lambda/alpha is 6.114984683992005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26314972928882807 the lambda is 2.0 the regulation term lambda/alpha is 7.600235825456004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3230945461271231 the lambda is 2.0 the regulation term lambda/alpha is 6.190138533669617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3163055471172593 the lambda is 2.0 the regulation term lambda/alpha is 6.323000080863487 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31780245984866834 the lambda is 2.0 the regulation term lambda/alpha is 6.293217494138853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24476680746672702 the lambda is 2.0 the regulation term lambda/alpha is 8.17104255556332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31537624458746727 the lambda is 2.0 the regulation term lambda/alpha is 6.341631731382085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3805135390052313 the lambda is 2.0 the regulation term lambda/alpha is 5.256054765432417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34872925559104934 the lambda is 2.0 the regulation term lambda/alpha is 5.7351081618038275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30525324885181293 the lambda is 2.0 the regulation term lambda/alpha is 6.551936818110369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39048379312656273 the lambda is 2.0 the regulation term lambda/alpha is 5.121851496028068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34979871412979113 the lambda is 2.0 the regulation term lambda/alpha is 5.7175739052542935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33760573937249094 the lambda is 2.0 the regulation term lambda/alpha is 5.924069903898576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28806852216808654 the lambda is 2.0 the regulation term lambda/alpha is 6.942792586109113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38775099876627517 the lambda is 2.0 the regulation term lambda/alpha is 5.157949318927585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30058619394845154 the lambda is 2.0 the regulation term lambda/alpha is 6.65366553842119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29617682738417417 the lambda is 2.0 the regulation term lambda/alpha is 6.752722748987308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44731364083460134 the lambda is 2.0 the regulation term lambda/alpha is 4.471135725412675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3142843004493483 the lambda is 2.0 the regulation term lambda/alpha is 6.363664991030408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28389356479985356 the lambda is 2.0 the regulation term lambda/alpha is 7.044893748859755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28817302395707595 the lambda is 2.0 the regulation term lambda/alpha is 6.940274882557726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2897903037783219 the lambda is 2.0 the regulation term lambda/alpha is 6.901542163156435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31805808536105395 the lambda is 2.0 the regulation term lambda/alpha is 6.2881595911313966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2957884100253019 the lambda is 2.0 the regulation term lambda/alpha is 6.761590150976231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3124277702021138 the lambda is 2.0 the regulation term lambda/alpha is 6.401479608250485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29971494663568493 the lambda is 2.0 the regulation term lambda/alpha is 6.67300721051819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31852814713014427 the lambda is 2.0 the regulation term lambda/alpha is 6.27887996090606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30302738183717387 the lambda is 2.0 the regulation term lambda/alpha is 6.600063624199686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2417936915587124 the lambda is 2.0 the regulation term lambda/alpha is 8.271514393560429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3393095354213633 the lambda is 2.0 the regulation term lambda/alpha is 5.894323003673766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4892649329131387 the lambda is 2.0 the regulation term lambda/alpha is 4.087764860015153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2953534194887367 the lambda is 2.0 the regulation term lambda/alpha is 6.771548484056979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2571820072363756 the lambda is 2.0 the regulation term lambda/alpha is 7.7765937885452585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2928085037435429 the lambda is 2.0 the regulation term lambda/alpha is 6.830402718603096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3604648814551242 the lambda is 2.0 the regulation term lambda/alpha is 5.548390711257093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34555517854430884 the lambda is 2.0 the regulation term lambda/alpha is 5.7877876651284215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2994631776530696 the lambda is 2.0 the regulation term lambda/alpha is 6.6786174369558555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3180071617413089 the lambda is 2.0 the regulation term lambda/alpha is 6.289166536528984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3403955741782482 the lambda is 2.0 the regulation term lambda/alpha is 5.875517050502836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30623694613553887 the lambda is 2.0 the regulation term lambda/alpha is 6.530890623219611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39323694766252704 the lambda is 2.0 the regulation term lambda/alpha is 5.0859920765034135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2718205475741929 the lambda is 2.0 the regulation term lambda/alpha is 7.357795493565857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3749954695058849 the lambda is 2.0 the regulation term lambda/alpha is 5.3333977678058675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3392734580511145 the lambda is 2.0 the regulation term lambda/alpha is 5.894949789142311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2689562988298595 the lambda is 2.0 the regulation term lambda/alpha is 7.436152299467769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3345000595751698 the lambda is 2.0 the regulation term lambda/alpha is 5.979072178761613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3220606476908983 the lambda is 2.0 the regulation term lambda/alpha is 6.210010488209428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2836988019135191 the lambda is 2.0 the regulation term lambda/alpha is 7.049730159275283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30566511971237725 the lambda is 2.0 the regulation term lambda/alpha is 6.543108359507774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27627816556913715 the lambda is 2.0 the regulation term lambda/alpha is 7.239080930916021 370 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32694186682071696 the lambda is 2.0 the regulation term lambda/alpha is 6.117295467382669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.303107888124403 the lambda is 2.0 the regulation term lambda/alpha is 6.5983106291814835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32378394961871176 the lambda is 2.0 the regulation term lambda/alpha is 6.176958438968954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2915594614589083 the lambda is 2.0 the regulation term lambda/alpha is 6.859664200202521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28505739763467197 the lambda is 2.0 the regulation term lambda/alpha is 7.016130844508688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3384423283718458 the lambda is 2.0 the regulation term lambda/alpha is 5.909426310891599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046757612924947 the lambda is 2.0 the regulation term lambda/alpha is 6.564355469288418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37497161897522807 the lambda is 2.0 the regulation term lambda/alpha is 5.333737005125519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3412856045840667 the lambda is 2.0 the regulation term lambda/alpha is 5.860194432863496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24874516134550317 the lambda is 2.0 the regulation term lambda/alpha is 8.040357405071413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30211086075972077 the lambda is 2.0 the regulation term lambda/alpha is 6.620086397988417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34755957388384195 the lambda is 2.0 the regulation term lambda/alpha is 5.754409172651423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30184596140948716 the lambda is 2.0 the regulation term lambda/alpha is 6.625896171215558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3697958751432044 the lambda is 2.0 the regulation term lambda/alpha is 5.408389153138863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2892714139098001 the lambda is 2.0 the regulation term lambda/alpha is 6.913922025574346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31635611103589345 the lambda is 2.0 the regulation term lambda/alpha is 6.321989461341817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27970250761085197 the lambda is 2.0 the regulation term lambda/alpha is 7.150454306196586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26568795890614355 the lambda is 2.0 the regulation term lambda/alpha is 7.527627553142205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27926027744013554 the lambda is 2.0 the regulation term lambda/alpha is 7.161777601645246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.286648964899067 the lambda is 2.0 the regulation term lambda/alpha is 6.977175029061163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3189058028164814 the lambda is 2.0 the regulation term lambda/alpha is 6.271444364877007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2790498620283394 the lambda is 2.0 the regulation term lambda/alpha is 7.167177885208509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31665787785384303 the lambda is 2.0 the regulation term lambda/alpha is 6.3159647678909865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2917573110149503 the lambda is 2.0 the regulation term lambda/alpha is 6.855012452104467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2888459107855906 the lambda is 2.0 the regulation term lambda/alpha is 6.924107024954886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3175709502673997 the lambda is 2.0 the regulation term lambda/alpha is 6.297805256796848 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34460737012104725 the lambda is 2.0 the regulation term lambda/alpha is 5.8037064015708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34102483554892943 the lambda is 2.0 the regulation term lambda/alpha is 5.864675506054294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3932093034869853 the lambda is 2.0 the regulation term lambda/alpha is 5.086349641943803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3305235181479083 the lambda is 2.0 the regulation term lambda/alpha is 6.051006630956306 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2858223931595916 the lambda is 2.0 the regulation term lambda/alpha is 6.99735236939004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26292568513821835 the lambda is 2.0 the regulation term lambda/alpha is 7.606712135973376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32969842851261505 the lambda is 2.0 the regulation term lambda/alpha is 6.0661496295954445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28187910333736 the lambda is 2.0 the regulation term lambda/alpha is 7.095240393206267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3030971959175063 the lambda is 2.0 the regulation term lambda/alpha is 6.598543394457329 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3236072520087755 the lambda is 2.0 the regulation term lambda/alpha is 6.180331211940097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32946758307164836 the lambda is 2.0 the regulation term lambda/alpha is 6.070399950592607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31786771185432955 the lambda is 2.0 the regulation term lambda/alpha is 6.291925620040791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3673195587304637 the lambda is 2.0 the regulation term lambda/alpha is 5.444850274002384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2571052535363584 the lambda is 2.0 the regulation term lambda/alpha is 7.778915337166268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31395967490328586 the lambda is 2.0 the regulation term lambda/alpha is 6.370244843119082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3326369762684412 the lambda is 2.0 the regulation term lambda/alpha is 6.0125606672962935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32903637048347056 the lambda is 2.0 the regulation term lambda/alpha is 6.078355402052649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2798385526813034 the lambda is 2.0 the regulation term lambda/alpha is 7.146978073023832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3126979169166326 the lambda is 2.0 the regulation term lambda/alpha is 6.395949227040146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37905704603474355 the lambda is 2.0 the regulation term lambda/alpha is 5.276250688179226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32435930417123643 the lambda is 2.0 the regulation term lambda/alpha is 6.166001635470756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28814997558060823 the lambda is 2.0 the regulation term lambda/alpha is 6.940830017320311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27582781159153075 the lambda is 2.0 the regulation term lambda/alpha is 7.250900438429211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33556163999958205 the lambda is 2.0 the regulation term lambda/alpha is 5.9601568284220185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.22705957956783507 the lambda is 2.0 the regulation term lambda/alpha is 8.808260826548791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27645834433912786 the lambda is 2.0 the regulation term lambda/alpha is 7.234362937320589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35113840080728365 the lambda is 2.0 the regulation term lambda/alpha is 5.6957598354435355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3335765442196914 the lambda is 2.0 the regulation term lambda/alpha is 5.995625395899577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35479635809143045 the lambda is 2.0 the regulation term lambda/alpha is 5.6370364418582986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32988674241579846 the lambda is 2.0 the regulation term lambda/alpha is 6.062686803821731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2950571818051466 the lambda is 2.0 the regulation term lambda/alpha is 6.778347125001634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34608297429980833 the lambda is 2.0 the regulation term lambda/alpha is 5.778960967514742 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2710321334163784 the lambda is 2.0 the regulation term lambda/alpha is 7.379198823364096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3211352188881137 the lambda is 2.0 the regulation term lambda/alpha is 6.2279061353803655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33080429489876406 the lambda is 2.0 the regulation term lambda/alpha is 6.045870718250678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3163294225799734 the lambda is 2.0 the regulation term lambda/alpha is 6.322522842447153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37849105394771987 the lambda is 2.0 the regulation term lambda/alpha is 5.2841407455729605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3351576011903197 the lambda is 2.0 the regulation term lambda/alpha is 5.96734190988644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29375936120832424 the lambda is 2.0 the regulation term lambda/alpha is 6.80829367198163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2915878297727286 the lambda is 2.0 the regulation term lambda/alpha is 6.858996829733441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31007334892120353 the lambda is 2.0 the regulation term lambda/alpha is 6.450086751919605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.318073546927152 the lambda is 2.0 the regulation term lambda/alpha is 6.287853923476565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3077285211812507 the lambda is 2.0 the regulation term lambda/alpha is 6.499235080072442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28659111063189047 the lambda is 2.0 the regulation term lambda/alpha is 6.978583514297773 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3247371985459204 the lambda is 2.0 the regulation term lambda/alpha is 6.158826303101165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27571144134947245 the lambda is 2.0 the regulation term lambda/alpha is 7.253960844754863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2543934304748533 the lambda is 2.0 the regulation term lambda/alpha is 7.861838241132172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3995955565816156 the lambda is 2.0 the regulation term lambda/alpha is 5.005060659605981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42117253447720393 the lambda is 2.0 the regulation term lambda/alpha is 4.748647730513991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36153855927949646 the lambda is 2.0 the regulation term lambda/alpha is 5.5319133980778235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2884226093667436 the lambda is 2.0 the regulation term lambda/alpha is 6.934269142045315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2783483900661741 the lambda is 2.0 the regulation term lambda/alpha is 7.185240049437768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31145885527700684 the lambda is 2.0 the regulation term lambda/alpha is 6.421393921265234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29069693537602637 the lambda is 2.0 the regulation term lambda/alpha is 6.880017491112977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3138500174811172 the lambda is 2.0 the regulation term lambda/alpha is 6.372470570661447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36167805220268684 the lambda is 2.0 the regulation term lambda/alpha is 5.529779835463133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29516823486563154 the lambda is 2.0 the regulation term lambda/alpha is 6.775796863475006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3338536116622113 the lambda is 2.0 the regulation term lambda/alpha is 5.990649584535793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41359326364725224 the lambda is 2.0 the regulation term lambda/alpha is 4.835668701088351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3624373615581792 the lambda is 2.0 the regulation term lambda/alpha is 5.518194899669459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28267558943052185 the lambda is 2.0 the regulation term lambda/alpha is 7.075248358123881 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29892284265267133 the lambda is 2.0 the regulation term lambda/alpha is 6.690689752083846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2942287868762807 the lambda is 2.0 the regulation term lambda/alpha is 6.797431418024279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34706148470638987 the lambda is 2.0 the regulation term lambda/alpha is 5.762667677434671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3466422704172226 the lambda is 2.0 the regulation term lambda/alpha is 5.7696368004766905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28686784159602924 the lambda is 2.0 the regulation term lambda/alpha is 6.9718515288180125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38630413125656554 the lambda is 2.0 the regulation term lambda/alpha is 5.177267955935194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35928666980475504 the lambda is 2.0 the regulation term lambda/alpha is 5.566585593300324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2846035428385599 the lambda is 2.0 the regulation term lambda/alpha is 7.02731940738521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3406734222700334 the lambda is 2.0 the regulation term lambda/alpha is 5.870725067641785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.295957628051021 the lambda is 2.0 the regulation term lambda/alpha is 6.757724114666895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3573572380453215 the lambda is 2.0 the regulation term lambda/alpha is 5.596640524030332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31092579292734723 the lambda is 2.0 the regulation term lambda/alpha is 6.432402989697712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30523418928540935 the lambda is 2.0 the regulation term lambda/alpha is 6.552345937007401 380 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3341998176159705 the lambda is 2.0 the regulation term lambda/alpha is 5.98444372072699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29432831897206596 the lambda is 2.0 the regulation term lambda/alpha is 6.795132751700374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38392967593751215 the lambda is 2.0 the regulation term lambda/alpha is 5.209287339188433 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3751698696107261 the lambda is 2.0 the regulation term lambda/alpha is 5.330918503863829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32380290038038073 the lambda is 2.0 the regulation term lambda/alpha is 6.176596928719729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39324073898980266 the lambda is 2.0 the regulation term lambda/alpha is 5.085943041246963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3505596081259411 the lambda is 2.0 the regulation term lambda/alpha is 5.70516383987252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3296502974784169 the lambda is 2.0 the regulation term lambda/alpha is 6.06703532591517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3710639122500058 the lambda is 2.0 the regulation term lambda/alpha is 5.3899070590634315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2904798314262309 the lambda is 2.0 the regulation term lambda/alpha is 6.885159600169735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2728875684293955 the lambda is 2.0 the regulation term lambda/alpha is 7.329025691829792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3424097409975646 the lambda is 2.0 the regulation term lambda/alpha is 5.840955324966135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2361018851763497 the lambda is 2.0 the regulation term lambda/alpha is 8.470919232627711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.347655792785484 the lambda is 2.0 the regulation term lambda/alpha is 5.752816554488052 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24793845813545234 the lambda is 2.0 the regulation term lambda/alpha is 8.06651785705375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35845183874076353 the lambda is 2.0 the regulation term lambda/alpha is 5.579550120389877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2951494194734842 the lambda is 2.0 the regulation term lambda/alpha is 6.776228811724554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34011291125681536 the lambda is 2.0 the regulation term lambda/alpha is 5.880400107744874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.339361275245384 the lambda is 2.0 the regulation term lambda/alpha is 5.893424341224106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33667750365644705 the lambda is 2.0 the regulation term lambda/alpha is 5.940402843312166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.334300024967174 the lambda is 2.0 the regulation term lambda/alpha is 5.982649867275321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29116606165822145 the lambda is 2.0 the regulation term lambda/alpha is 6.868932418187026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33676965000258774 the lambda is 2.0 the regulation term lambda/alpha is 5.938777440261116 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29842412465539986 the lambda is 2.0 the regulation term lambda/alpha is 6.701871044472245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3213727470283416 the lambda is 2.0 the regulation term lambda/alpha is 6.2233030600557475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3865213170945688 the lambda is 2.0 the regulation term lambda/alpha is 5.174358855635036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3007113140371608 the lambda is 2.0 the regulation term lambda/alpha is 6.650897078494517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2668777639208599 the lambda is 2.0 the regulation term lambda/alpha is 7.494067585912034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2902135582967246 the lambda is 2.0 the regulation term lambda/alpha is 6.891476786053976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.353253925070223 the lambda is 2.0 the regulation term lambda/alpha is 5.661649759737055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3176109722951694 the lambda is 2.0 the regulation term lambda/alpha is 6.2970116729510055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28789046992174805 the lambda is 2.0 the regulation term lambda/alpha is 6.947086510170424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33773040744148575 the lambda is 2.0 the regulation term lambda/alpha is 5.921883123143167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25520171589548546 the lambda is 2.0 the regulation term lambda/alpha is 7.836937902169412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32797462937737126 the lambda is 2.0 the regulation term lambda/alpha is 6.098032655138022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34118788781883663 the lambda is 2.0 the regulation term lambda/alpha is 5.86187280206722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35285185322234836 the lambda is 2.0 the regulation term lambda/alpha is 5.668101164087431 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33265196046840056 the lambda is 2.0 the regulation term lambda/alpha is 6.012289833445863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36047738230430815 the lambda is 2.0 the regulation term lambda/alpha is 5.548198300862155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3186919635871173 the lambda is 2.0 the regulation term lambda/alpha is 6.2756524434708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3266597699401456 the lambda is 2.0 the regulation term lambda/alpha is 6.122578242084916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3030485454149024 the lambda is 2.0 the regulation term lambda/alpha is 6.599602704780546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3697509990569376 the lambda is 2.0 the regulation term lambda/alpha is 5.409045560663981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2602371413563452 the lambda is 2.0 the regulation term lambda/alpha is 7.685298069199819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2829295782588521 the lambda is 2.0 the regulation term lambda/alpha is 7.068896834003693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2663231139797529 the lambda is 2.0 the regulation term lambda/alpha is 7.509674883690528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3630585448602984 the lambda is 2.0 the regulation term lambda/alpha is 5.508753418183785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3338440699750429 the lambda is 2.0 the regulation term lambda/alpha is 5.99082080490306 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3822422045069204 the lambda is 2.0 the regulation term lambda/alpha is 5.232284599708011 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2971236080669105 the lambda is 2.0 the regulation term lambda/alpha is 6.731205281909513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3253376409001632 the lambda is 2.0 the regulation term lambda/alpha is 6.147459588341156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26405155425927107 the lambda is 2.0 the regulation term lambda/alpha is 7.574278460925887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39714895170449255 the lambda is 2.0 the regulation term lambda/alpha is 5.035893942099951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30902513582784186 the lambda is 2.0 the regulation term lambda/alpha is 6.471965442688783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3094917235784176 the lambda is 2.0 the regulation term lambda/alpha is 6.462208348822773 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3119601455442992 the lambda is 2.0 the regulation term lambda/alpha is 6.411075352303278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2838584242781768 the lambda is 2.0 the regulation term lambda/alpha is 7.045765878133782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38309314846303616 the lambda is 2.0 the regulation term lambda/alpha is 5.220662410758243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2950909574938491 the lambda is 2.0 the regulation term lambda/alpha is 6.7775712850899135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37707899444156734 the lambda is 2.0 the regulation term lambda/alpha is 5.303928432719746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3343007553582411 the lambda is 2.0 the regulation term lambda/alpha is 5.982636796189029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23883892576132262 the lambda is 2.0 the regulation term lambda/alpha is 8.373844395861365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3128266076242089 the lambda is 2.0 the regulation term lambda/alpha is 6.393318059448934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2898204445803081 the lambda is 2.0 the regulation term lambda/alpha is 6.900824415255522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3190043294983896 the lambda is 2.0 the regulation term lambda/alpha is 6.269507386137518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30463825456530236 the lambda is 2.0 the regulation term lambda/alpha is 6.565163665521459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37906783845621966 the lambda is 2.0 the regulation term lambda/alpha is 5.276100468309683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3347596091587428 the lambda is 2.0 the regulation term lambda/alpha is 5.974436417302665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3458208840685922 the lambda is 2.0 the regulation term lambda/alpha is 5.783340718090663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3291330339263669 the lambda is 2.0 the regulation term lambda/alpha is 6.076570243166284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3434806361787555 the lambda is 2.0 the regulation term lambda/alpha is 5.822744543186278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39480917632954604 the lambda is 2.0 the regulation term lambda/alpha is 5.065738386816537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33209053195819777 the lambda is 2.0 the regulation term lambda/alpha is 6.0224541428713545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27231928685222717 the lambda is 2.0 the regulation term lambda/alpha is 7.344320055763406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3502337935866679 the lambda is 2.0 the regulation term lambda/alpha is 5.710471224145552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2885754485374375 the lambda is 2.0 the regulation term lambda/alpha is 6.9305965221103545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2592057050547583 the lambda is 2.0 the regulation term lambda/alpha is 7.715879554338866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3343871027587461 the lambda is 2.0 the regulation term lambda/alpha is 5.981091924597827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3929022831416862 the lambda is 2.0 the regulation term lambda/alpha is 5.090324199716527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3066601233994934 the lambda is 2.0 the regulation term lambda/alpha is 6.521878286061187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3995696095084325 the lambda is 2.0 the regulation term lambda/alpha is 5.00538567600395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3426330478443624 the lambda is 2.0 the regulation term lambda/alpha is 5.837148554649871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23517572537146744 the lambda is 2.0 the regulation term lambda/alpha is 8.504279074045321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28160793062331363 the lambda is 2.0 the regulation term lambda/alpha is 7.1020727135531345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3133773679839321 the lambda is 2.0 the regulation term lambda/alpha is 6.382081810395914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2503045700449567 the lambda is 2.0 the regulation term lambda/alpha is 7.990265617766323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3205377736378686 the lambda is 2.0 the regulation term lambda/alpha is 6.239514230418047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41935191600933686 the lambda is 2.0 the regulation term lambda/alpha is 4.769264008693525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2943759022865701 the lambda is 2.0 the regulation term lambda/alpha is 6.794034377355497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2334486164973451 the lambda is 2.0 the regulation term lambda/alpha is 8.56719577099205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28456788004736 the lambda is 2.0 the regulation term lambda/alpha is 7.028200089437868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34055353159663604 the lambda is 2.0 the regulation term lambda/alpha is 5.872791835760119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3725633661483207 the lambda is 2.0 the regulation term lambda/alpha is 5.36821432734152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30697160811537577 the lambda is 2.0 the regulation term lambda/alpha is 6.51526052288294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32105972878533534 the lambda is 2.0 the regulation term lambda/alpha is 6.229370489929074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30102839267254855 the lambda is 2.0 the regulation term lambda/alpha is 6.643891568645327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27904087921826365 the lambda is 2.0 the regulation term lambda/alpha is 7.167408609100659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34616551973319637 the lambda is 2.0 the regulation term lambda/alpha is 5.777582936456179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39689230105180456 the lambda is 2.0 the regulation term lambda/alpha is 5.039150406041635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27894382351798075 the lambda is 2.0 the regulation term lambda/alpha is 7.169902436900811 390 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2785373467056583 the lambda is 2.0 the regulation term lambda/alpha is 7.180365662467092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25365044584106183 the lambda is 2.0 the regulation term lambda/alpha is 7.88486688193407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3843711801522791 the lambda is 2.0 the regulation term lambda/alpha is 5.203303741991388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37204114358241763 the lambda is 2.0 the regulation term lambda/alpha is 5.375749522598012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2592429350789627 the lambda is 2.0 the regulation term lambda/alpha is 7.714771472521791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3379843878274963 the lambda is 2.0 the regulation term lambda/alpha is 5.91743308871645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2912775720182792 the lambda is 2.0 the regulation term lambda/alpha is 6.86630277141451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3228765859756295 the lambda is 2.0 the regulation term lambda/alpha is 6.194317231014573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30848507908775896 the lambda is 2.0 the regulation term lambda/alpha is 6.48329574290701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3106560140055718 the lambda is 2.0 the regulation term lambda/alpha is 6.4379889969364275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33831332435435113 the lambda is 2.0 the regulation term lambda/alpha is 5.9116796650468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32039975288378536 the lambda is 2.0 the regulation term lambda/alpha is 6.242202067881854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3552257934546468 the lambda is 2.0 the regulation term lambda/alpha is 5.630221782460031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37275296494969323 the lambda is 2.0 the regulation term lambda/alpha is 5.365483813844164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31429062915018513 the lambda is 2.0 the regulation term lambda/alpha is 6.363536849341733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32715454100481123 the lambda is 2.0 the regulation term lambda/alpha is 6.113318781568089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31916910661537035 the lambda is 2.0 the regulation term lambda/alpha is 6.266270633799761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35806456532544584 the lambda is 2.0 the regulation term lambda/alpha is 5.585584818151985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32467708859323224 the lambda is 2.0 the regulation term lambda/alpha is 6.159966533720141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3024500882425417 the lambda is 2.0 the regulation term lambda/alpha is 6.6126613208198295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3370862171497174 the lambda is 2.0 the regulation term lambda/alpha is 5.9332001673378905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34030847610513537 the lambda is 2.0 the regulation term lambda/alpha is 5.8770208220794276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3839935331886606 the lambda is 2.0 the regulation term lambda/alpha is 5.208421046552823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2960494700244266 the lambda is 2.0 the regulation term lambda/alpha is 6.755627699096989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34245586139652473 the lambda is 2.0 the regulation term lambda/alpha is 5.8401686916499544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2999523651344219 the lambda is 2.0 the regulation term lambda/alpha is 6.667725387341792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2747513300472907 the lambda is 2.0 the regulation term lambda/alpha is 7.2793096202873935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33866897053645745 the lambda is 2.0 the regulation term lambda/alpha is 5.905471637487089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3047122621154044 the lambda is 2.0 the regulation term lambda/alpha is 6.563569139342791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.248733309425272 the lambda is 2.0 the regulation term lambda/alpha is 8.040740520926766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3339554751115626 the lambda is 2.0 the regulation term lambda/alpha is 5.988822310315085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3162779353655191 the lambda is 2.0 the regulation term lambda/alpha is 6.323552092524636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.355289669123015 the lambda is 2.0 the regulation term lambda/alpha is 5.629209554380605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2533567823425015 the lambda is 2.0 the regulation term lambda/alpha is 7.894006158067998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.319304638522557 the lambda is 2.0 the regulation term lambda/alpha is 6.263610855307733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26084942755094853 the lambda is 2.0 the regulation term lambda/alpha is 7.667258535997226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2864090700374194 the lambda is 2.0 the regulation term lambda/alpha is 6.9830190773591765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33438114471789815 the lambda is 2.0 the regulation term lambda/alpha is 5.9811984963664955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33829672040895936 the lambda is 2.0 the regulation term lambda/alpha is 5.911969816267343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2705570509329315 the lambda is 2.0 the regulation term lambda/alpha is 7.39215626834941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2975557250397511 the lambda is 2.0 the regulation term lambda/alpha is 6.72143007745126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31765843136516286 the lambda is 2.0 the regulation term lambda/alpha is 6.296070881559284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2833598687428158 the lambda is 2.0 the regulation term lambda/alpha is 7.05816250153351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3007946017516455 the lambda is 2.0 the regulation term lambda/alpha is 6.649055496186473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3018252391121198 the lambda is 2.0 the regulation term lambda/alpha is 6.626351082776928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3679695012712055 the lambda is 2.0 the regulation term lambda/alpha is 5.435233064399908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2808048463175555 the lambda is 2.0 the regulation term lambda/alpha is 7.122384197522887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3566482527906228 the lambda is 2.0 the regulation term lambda/alpha is 5.6077661515256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3052111229543196 the lambda is 2.0 the regulation term lambda/alpha is 6.552841130561733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32311786379789437 the lambda is 2.0 the regulation term lambda/alpha is 6.189691824810316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3192634266226964 the lambda is 2.0 the regulation term lambda/alpha is 6.264419389207358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31888347179815535 the lambda is 2.0 the regulation term lambda/alpha is 6.271883546432115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2601787076490467 the lambda is 2.0 the regulation term lambda/alpha is 7.687024115354537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30181294919007956 the lambda is 2.0 the regulation term lambda/alpha is 6.626620909961073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25528015270825255 the lambda is 2.0 the regulation term lambda/alpha is 7.8345299420347185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36407698388808823 the lambda is 2.0 the regulation term lambda/alpha is 5.493343684188424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2834977603856216 the lambda is 2.0 the regulation term lambda/alpha is 7.054729452816644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37599479775484124 the lambda is 2.0 the regulation term lambda/alpha is 5.319222531648042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3618897252006358 the lambda is 2.0 the regulation term lambda/alpha is 5.526545410735763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31571705759164703 the lambda is 2.0 the regulation term lambda/alpha is 6.334786011425549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3106966325715516 the lambda is 2.0 the regulation term lambda/alpha is 6.437147333868872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32948410688542157 the lambda is 2.0 the regulation term lambda/alpha is 6.070095516611677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30310914342601963 the lambda is 2.0 the regulation term lambda/alpha is 6.5982833028200725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29911221885974837 the lambda is 2.0 the regulation term lambda/alpha is 6.686453691608587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27446747170488844 the lambda is 2.0 the regulation term lambda/alpha is 7.286837990588663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31648079158714576 the lambda is 2.0 the regulation term lambda/alpha is 6.3194988547963185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29846789292647297 the lambda is 2.0 the regulation term lambda/alpha is 6.700888261012036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35510522013671103 the lambda is 2.0 the regulation term lambda/alpha is 5.632133482098701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35188789229875617 the lambda is 2.0 the regulation term lambda/alpha is 5.683628348036428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37659029156899887 the lambda is 2.0 the regulation term lambda/alpha is 5.310811363902514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.337002734582257 the lambda is 2.0 the regulation term lambda/alpha is 5.934669944085667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3389160591740977 the lambda is 2.0 the regulation term lambda/alpha is 5.901166220549675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.304618645901705 the lambda is 2.0 the regulation term lambda/alpha is 6.565586272894681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.360886431341822 the lambda is 2.0 the regulation term lambda/alpha is 5.541909659955193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30315397453713955 the lambda is 2.0 the regulation term lambda/alpha is 6.597307533419718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26330866587276547 the lambda is 2.0 the regulation term lambda/alpha is 7.595648222859587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3240774475181504 the lambda is 2.0 the regulation term lambda/alpha is 6.171364330706744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27932384516337055 the lambda is 2.0 the regulation term lambda/alpha is 7.160147744744967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3112795586826852 the lambda is 2.0 the regulation term lambda/alpha is 6.42509263526288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3851408963519892 the lambda is 2.0 the regulation term lambda/alpha is 5.19290477574252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35904393045793886 the lambda is 2.0 the regulation term lambda/alpha is 5.570349002834056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30050080844669685 the lambda is 2.0 the regulation term lambda/alpha is 6.655556137562812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3412763784250055 the lambda is 2.0 the regulation term lambda/alpha is 5.860352858964407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34188108078927054 the lambda is 2.0 the regulation term lambda/alpha is 5.849987356371921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2937482528511774 the lambda is 2.0 the regulation term lambda/alpha is 6.808551133794373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3598240938411402 the lambda is 2.0 the regulation term lambda/alpha is 5.558271483851734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28468918949612 the lambda is 2.0 the regulation term lambda/alpha is 7.025205289810479 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31558624076506303 the lambda is 2.0 the regulation term lambda/alpha is 6.337411907285566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.284296405334409 the lambda is 2.0 the regulation term lambda/alpha is 7.034911319569667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3700103143104208 the lambda is 2.0 the regulation term lambda/alpha is 5.405254725742852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34761580589079805 the lambda is 2.0 the regulation term lambda/alpha is 5.753478311709138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3122612097788782 the lambda is 2.0 the regulation term lambda/alpha is 6.404894163499404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3132153441803766 the lambda is 2.0 the regulation term lambda/alpha is 6.385383210498865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3688313828024445 the lambda is 2.0 the regulation term lambda/alpha is 5.422532065475706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3075139385514154 the lambda is 2.0 the regulation term lambda/alpha is 6.503770233704727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.296075051290637 the lambda is 2.0 the regulation term lambda/alpha is 6.755044004152631 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31539436910028296 the lambda is 2.0 the regulation term lambda/alpha is 6.34126730196657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34928436172292743 the lambda is 2.0 the regulation term lambda/alpha is 5.725993543296725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.357226890736186 the lambda is 2.0 the regulation term lambda/alpha is 5.598682663218125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.354553131818881 the lambda is 2.0 the regulation term lambda/alpha is 5.640903493758095 400 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3727378908459222 the lambda is 2.0 the regulation term lambda/alpha is 5.365700802408456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3236651273093586 the lambda is 2.0 the regulation term lambda/alpha is 6.179226092801784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3310014501153359 the lambda is 2.0 the regulation term lambda/alpha is 6.04226960124528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32783857668936267 the lambda is 2.0 the regulation term lambda/alpha is 6.100563332713168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30118549454253696 the lambda is 2.0 the regulation term lambda/alpha is 6.640426037242429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34800898702854915 the lambda is 2.0 the regulation term lambda/alpha is 5.746978022254146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3608052744585125 the lambda is 2.0 the regulation term lambda/alpha is 5.543156216331787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29842265937436946 the lambda is 2.0 the regulation term lambda/alpha is 6.701903951237871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2919455171819359 the lambda is 2.0 the regulation term lambda/alpha is 6.850593286396075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3012681842768908 the lambda is 2.0 the regulation term lambda/alpha is 6.638603425052782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3001620755175668 the lambda is 2.0 the regulation term lambda/alpha is 6.663066933260699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28847425394192916 the lambda is 2.0 the regulation term lambda/alpha is 6.933027723169385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3290350550688044 the lambda is 2.0 the regulation term lambda/alpha is 6.078379702070895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26348085139656385 the lambda is 2.0 the regulation term lambda/alpha is 7.590684444046406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3156035500727313 the lambda is 2.0 the regulation term lambda/alpha is 6.337064331307735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2887655510734234 the lambda is 2.0 the regulation term lambda/alpha is 6.926033914244387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26962178109094165 the lambda is 2.0 the regulation term lambda/alpha is 7.41779833924253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32697655945639825 the lambda is 2.0 the regulation term lambda/alpha is 6.116646414424996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32782583106059315 the lambda is 2.0 the regulation term lambda/alpha is 6.100800518157866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33519627400298374 the lambda is 2.0 the regulation term lambda/alpha is 5.966653435957337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3226178512882609 the lambda is 2.0 the regulation term lambda/alpha is 6.199284980709231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3040958005560156 the lambda is 2.0 the regulation term lambda/alpha is 6.5768747754594274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24455892290726197 the lambda is 2.0 the regulation term lambda/alpha is 8.177988258307836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26733423837120185 the lambda is 2.0 the regulation term lambda/alpha is 7.4812714307957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2825947890068991 the lambda is 2.0 the regulation term lambda/alpha is 7.077271336207028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3026704554045315 the lambda is 2.0 the regulation term lambda/alpha is 6.607846799341276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34313675969468616 the lambda is 2.0 the regulation term lambda/alpha is 5.828579840234973 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32156797522693376 the lambda is 2.0 the regulation term lambda/alpha is 6.219524809921075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.264940175267401 the lambda is 2.0 the regulation term lambda/alpha is 7.548873997616344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32317020314161066 the lambda is 2.0 the regulation term lambda/alpha is 6.188689367266993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24227664888092115 the lambda is 2.0 the regulation term lambda/alpha is 8.255025852627666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29791281697413735 the lambda is 2.0 the regulation term lambda/alpha is 6.713373463799732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40945906260194725 the lambda is 2.0 the regulation term lambda/alpha is 4.88449318300786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30797346240396456 the lambda is 2.0 the regulation term lambda/alpha is 6.4940660288990335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046784899532062 the lambda is 2.0 the regulation term lambda/alpha is 6.564296679779293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2769373962205267 the lambda is 2.0 the regulation term lambda/alpha is 7.221848790718713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32144972828812785 the lambda is 2.0 the regulation term lambda/alpha is 6.221812694168223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28755385871807665 the lambda is 2.0 the regulation term lambda/alpha is 6.955218785503549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29032496083923887 the lambda is 2.0 the regulation term lambda/alpha is 6.888832411166522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2725654400347559 the lambda is 2.0 the regulation term lambda/alpha is 7.337687418276404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3212530310490991 the lambda is 2.0 the regulation term lambda/alpha is 6.225622194034109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3958573197610955 the lambda is 2.0 the regulation term lambda/alpha is 5.0523254217126095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3142652351996261 the lambda is 2.0 the regulation term lambda/alpha is 6.364051049838743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35369084669260825 the lambda is 2.0 the regulation term lambda/alpha is 5.654655806623671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27906305271829257 the lambda is 2.0 the regulation term lambda/alpha is 7.166839108647435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30446524513035866 the lambda is 2.0 the regulation term lambda/alpha is 6.568894256366397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38607989190968856 the lambda is 2.0 the regulation term lambda/alpha is 5.1802749687565655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29103095068203155 the lambda is 2.0 the regulation term lambda/alpha is 6.872121316694999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31214268771697395 the lambda is 2.0 the regulation term lambda/alpha is 6.407326132250902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31465739107727075 the lambda is 2.0 the regulation term lambda/alpha is 6.356119565959466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3103791925831105 the lambda is 2.0 the regulation term lambda/alpha is 6.443730919444474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29315627203707295 the lambda is 2.0 the regulation term lambda/alpha is 6.822299881569913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.358735222008279 the lambda is 2.0 the regulation term lambda/alpha is 5.575142548879249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31243990015691014 the lambda is 2.0 the regulation term lambda/alpha is 6.401231081547465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3502328011690204 the lambda is 2.0 the regulation term lambda/alpha is 5.710487405303912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3474382974011014 the lambda is 2.0 the regulation term lambda/alpha is 5.7564178012624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34569014190179304 the lambda is 2.0 the regulation term lambda/alpha is 5.785528013605257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27158670728006623 the lambda is 2.0 the regulation term lambda/alpha is 7.364130667623418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3520780507070378 the lambda is 2.0 the regulation term lambda/alpha is 5.680558603365448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36382187207578 the lambda is 2.0 the regulation term lambda/alpha is 5.497195615505553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35876791879841213 the lambda is 2.0 the regulation term lambda/alpha is 5.574634450868442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3004333325639028 the lambda is 2.0 the regulation term lambda/alpha is 6.657050943488755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2755515489713854 the lambda is 2.0 the regulation term lambda/alpha is 7.258170050089936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3395635180939138 the lambda is 2.0 the regulation term lambda/alpha is 5.889914238215826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29090911713587003 the lambda is 2.0 the regulation term lambda/alpha is 6.874999380187503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31512439949607346 the lambda is 2.0 the regulation term lambda/alpha is 6.346699916598875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3360872043427732 the lambda is 2.0 the regulation term lambda/alpha is 5.950836491710683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29568386587437956 the lambda is 2.0 the regulation term lambda/alpha is 6.763980828259646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27146217729899813 the lambda is 2.0 the regulation term lambda/alpha is 7.367508873242141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33029225880046215 the lambda is 2.0 the regulation term lambda/alpha is 6.055243338925028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30849118256864283 the lambda is 2.0 the regulation term lambda/alpha is 6.483167471261442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3407473693412027 the lambda is 2.0 the regulation term lambda/alpha is 5.869451036017618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3255633276719459 the lambda is 2.0 the regulation term lambda/alpha is 6.143198050903637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.321599790237684 the lambda is 2.0 the regulation term lambda/alpha is 6.218909528895727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25392154782606924 the lambda is 2.0 the regulation term lambda/alpha is 7.876448521690474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32506446257070976 the lambda is 2.0 the regulation term lambda/alpha is 6.152625802843488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3239245129485758 the lambda is 2.0 the regulation term lambda/alpha is 6.174278018649077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3861114353210462 the lambda is 2.0 the regulation term lambda/alpha is 5.179851765687872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3174451075382025 the lambda is 2.0 the regulation term lambda/alpha is 6.300301855366641 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28290644289277 the lambda is 2.0 the regulation term lambda/alpha is 7.069474910325955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34043243617291824 the lambda is 2.0 the regulation term lambda/alpha is 5.874880850026071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36276764128964395 the lambda is 2.0 the regulation term lambda/alpha is 5.513170890573295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.369311614502953 the lambda is 2.0 the regulation term lambda/alpha is 5.415480914922615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38848689118993 the lambda is 2.0 the regulation term lambda/alpha is 5.1481788584269275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3418336716216489 the lambda is 2.0 the regulation term lambda/alpha is 5.850798695494387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3165551152876399 the lambda is 2.0 the regulation term lambda/alpha is 6.318015105150605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.307565303433288 the lambda is 2.0 the regulation term lambda/alpha is 6.502684072860017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4440196861530391 the lambda is 2.0 the regulation term lambda/alpha is 4.504304791816517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27793713778344303 the lambda is 2.0 the regulation term lambda/alpha is 7.195871757009732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2862065415827718 the lambda is 2.0 the regulation term lambda/alpha is 6.98796047406762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35552325879985397 the lambda is 2.0 the regulation term lambda/alpha is 5.625510991183628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2756172515352094 the lambda is 2.0 the regulation term lambda/alpha is 7.256439823196282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2667630370391512 the lambda is 2.0 the regulation term lambda/alpha is 7.497290562434525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33038475634563214 the lambda is 2.0 the regulation term lambda/alpha is 6.053548057488764 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3944938181878467 the lambda is 2.0 the regulation term lambda/alpha is 5.069787935302087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32724638579752663 the lambda is 2.0 the regulation term lambda/alpha is 6.111603020842641 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27398821411755425 the lambda is 2.0 the regulation term lambda/alpha is 7.2995840585387475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33857746449356557 the lambda is 2.0 the regulation term lambda/alpha is 5.907067686833624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34809922132978144 the lambda is 2.0 the regulation term lambda/alpha is 5.745488290263208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34976933656113646 the lambda is 2.0 the regulation term lambda/alpha is 5.718054131513093 410 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2959275805636241 the lambda is 2.0 the regulation term lambda/alpha is 6.758410271157548 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3248120878454734 the lambda is 2.0 the regulation term lambda/alpha is 6.15740631226595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30320986528852456 the lambda is 2.0 the regulation term lambda/alpha is 6.596091450048519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32742420791044735 the lambda is 2.0 the regulation term lambda/alpha is 6.1082838460955005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26221546852971894 the lambda is 2.0 the regulation term lambda/alpha is 7.627315090197755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2734233811245176 the lambda is 2.0 the regulation term lambda/alpha is 7.3146634050626265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3107117871085245 the lambda is 2.0 the regulation term lambda/alpha is 6.436833370925339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2930425490175206 the lambda is 2.0 the regulation term lambda/alpha is 6.8249474579898735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28935838980580975 the lambda is 2.0 the regulation term lambda/alpha is 6.911843825721496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32002218998989007 the lambda is 2.0 the regulation term lambda/alpha is 6.249566631811321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30153376705559237 the lambda is 2.0 the regulation term lambda/alpha is 6.632756322880645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3992435148404502 the lambda is 2.0 the regulation term lambda/alpha is 5.009473981810977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3100212197836256 the lambda is 2.0 the regulation term lambda/alpha is 6.451171314647004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24038174111102287 the lambda is 2.0 the regulation term lambda/alpha is 8.320099483247684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33058683735274264 the lambda is 2.0 the regulation term lambda/alpha is 6.04984764673483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28629637397442714 the lambda is 2.0 the regulation term lambda/alpha is 6.985767832947287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3070388488684386 the lambda is 2.0 the regulation term lambda/alpha is 6.5138336968458646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2758128311042246 the lambda is 2.0 the regulation term lambda/alpha is 7.251294263551635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3052013804027408 the lambda is 2.0 the regulation term lambda/alpha is 6.553050308490804 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33229966470486216 the lambda is 2.0 the regulation term lambda/alpha is 6.018663912214102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33750959856497925 the lambda is 2.0 the regulation term lambda/alpha is 5.925757396244684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2990472916796562 the lambda is 2.0 the regulation term lambda/alpha is 6.6879054104339755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2545476322919502 the lambda is 2.0 the regulation term lambda/alpha is 7.857075636461333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2915054030353365 the lambda is 2.0 the regulation term lambda/alpha is 6.8609362954331194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35192836066000827 the lambda is 2.0 the regulation term lambda/alpha is 5.6829747856898765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37033541020051325 the lambda is 2.0 the regulation term lambda/alpha is 5.4005097673947144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3114728686293817 the lambda is 2.0 the regulation term lambda/alpha is 6.421105018876552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30109683403373194 the lambda is 2.0 the regulation term lambda/alpha is 6.6423813668394125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.280532813096752 the lambda is 2.0 the regulation term lambda/alpha is 7.129290787492396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2877026528759628 the lambda is 2.0 the regulation term lambda/alpha is 6.95162168303766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2973062884580047 the lambda is 2.0 the regulation term lambda/alpha is 6.727069280549393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3199612034058732 the lambda is 2.0 the regulation term lambda/alpha is 6.250757837858814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27935909808289605 the lambda is 2.0 the regulation term lambda/alpha is 7.159244190452415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2894230744454683 the lambda is 2.0 the regulation term lambda/alpha is 6.9102990624779315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32852137073023757 the lambda is 2.0 the regulation term lambda/alpha is 6.08788401057258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3431551524420753 the lambda is 2.0 the regulation term lambda/alpha is 5.828267434619391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32152122486385026 the lambda is 2.0 the regulation term lambda/alpha is 6.220429151596165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3028966351781756 the lambda is 2.0 the regulation term lambda/alpha is 6.602912570565605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3329581086137615 the lambda is 2.0 the regulation term lambda/alpha is 6.0067616563741435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3637287344765334 the lambda is 2.0 the regulation term lambda/alpha is 5.498603245845658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3034889975989434 the lambda is 2.0 the regulation term lambda/alpha is 6.590024731779479 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27950629126399884 the lambda is 2.0 the regulation term lambda/alpha is 7.15547400008597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3935308810585862 the lambda is 2.0 the regulation term lambda/alpha is 5.0821932820622875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.5003993036385106 the lambda is 2.0 the regulation term lambda/alpha is 3.99680811995055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27541234740810444 the lambda is 2.0 the regulation term lambda/alpha is 7.261838544356951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34513955333861485 the lambda is 2.0 the regulation term lambda/alpha is 5.794757455798782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2845140714564268 the lambda is 2.0 the regulation term lambda/alpha is 7.029529294498529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3308668962587991 the lambda is 2.0 the regulation term lambda/alpha is 6.044726814965586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29168951888904493 the lambda is 2.0 the regulation term lambda/alpha is 6.856605638822336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2639099616580685 the lambda is 2.0 the regulation term lambda/alpha is 7.578342202145722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3194749057961655 the lambda is 2.0 the regulation term lambda/alpha is 6.260272602681537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30153424866106715 the lambda is 2.0 the regulation term lambda/alpha is 6.632745729152828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2922651221238694 the lambda is 2.0 the regulation term lambda/alpha is 6.8431018571978255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29973195876733727 the lambda is 2.0 the regulation term lambda/alpha is 6.6726284651963725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29132588120553493 the lambda is 2.0 the regulation term lambda/alpha is 6.865164165036779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27920122500898953 the lambda is 2.0 the regulation term lambda/alpha is 7.1632923528025545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2824493511720263 the lambda is 2.0 the regulation term lambda/alpha is 7.08091554008172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36231954659840526 the lambda is 2.0 the regulation term lambda/alpha is 5.519989243684936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3458119987261886 the lambda is 2.0 the regulation term lambda/alpha is 5.783489316065014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.325274157581685 the lambda is 2.0 the regulation term lambda/alpha is 6.148659379734914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2913146539366382 the lambda is 2.0 the regulation term lambda/alpha is 6.86542874851399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3616630721961651 the lambda is 2.0 the regulation term lambda/alpha is 5.530008877752399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31964722564759035 the lambda is 2.0 the regulation term lambda/alpha is 6.256897728263067 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40087235586472975 the lambda is 2.0 the regulation term lambda/alpha is 4.989119281337722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28363078482353354 the lambda is 2.0 the regulation term lambda/alpha is 7.051420744910815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2963331689567473 the lambda is 2.0 the regulation term lambda/alpha is 6.749160099225746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.40191338252317094 the lambda is 2.0 the regulation term lambda/alpha is 4.976196581074771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33360007535250447 the lambda is 2.0 the regulation term lambda/alpha is 5.995202482753232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3334009463880326 the lambda is 2.0 the regulation term lambda/alpha is 5.99878321182771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30951064472076717 the lambda is 2.0 the regulation term lambda/alpha is 6.461813298228726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3186391134109097 the lambda is 2.0 the regulation term lambda/alpha is 6.276693336831017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3244709049179958 the lambda is 2.0 the regulation term lambda/alpha is 6.16388085861031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31860639738477586 the lambda is 2.0 the regulation term lambda/alpha is 6.27733785767218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33147083257515486 the lambda is 2.0 the regulation term lambda/alpha is 6.033713387275296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31331442595718106 the lambda is 2.0 the regulation term lambda/alpha is 6.383363912753027 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.365588151302034 the lambda is 2.0 the regulation term lambda/alpha is 5.470636815982807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3526086555816427 the lambda is 2.0 the regulation term lambda/alpha is 5.672010508933527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32373085403814006 the lambda is 2.0 the regulation term lambda/alpha is 6.177971531142261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2590091124957574 the lambda is 2.0 the regulation term lambda/alpha is 7.721736045224123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38102483339599164 the lambda is 2.0 the regulation term lambda/alpha is 5.249001704624956 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29959310612130857 the lambda is 2.0 the regulation term lambda/alpha is 6.675721033414494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25597739469077885 the lambda is 2.0 the regulation term lambda/alpha is 7.813189920211523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2654547586158833 the lambda is 2.0 the regulation term lambda/alpha is 7.534240525309353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26389806319501774 the lambda is 2.0 the regulation term lambda/alpha is 7.5786838894759985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31754021616013745 the lambda is 2.0 the regulation term lambda/alpha is 6.298414809264311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3684647574720184 the lambda is 2.0 the regulation term lambda/alpha is 5.42792752751091 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.368255659350137 the lambda is 2.0 the regulation term lambda/alpha is 5.431009542472238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3273319975616206 the lambda is 2.0 the regulation term lambda/alpha is 6.110004566918325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31588572282727057 the lambda is 2.0 the regulation term lambda/alpha is 6.331403591461523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.342501849534239 the lambda is 2.0 the regulation term lambda/alpha is 5.8393845251339735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32006629866536235 the lambda is 2.0 the regulation term lambda/alpha is 6.248705372417394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2786881971482149 the lambda is 2.0 the regulation term lambda/alpha is 7.176479020158642 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3286567249984416 the lambda is 2.0 the regulation term lambda/alpha is 6.085376771187272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32127383265963116 the lambda is 2.0 the regulation term lambda/alpha is 6.225219101858415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25916868716671554 the lambda is 2.0 the regulation term lambda/alpha is 7.71698163796099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34806448339283313 the lambda is 2.0 the regulation term lambda/alpha is 5.746061708177092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.348809931731428 the lambda is 2.0 the regulation term lambda/alpha is 5.7337816904248395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34040331115464395 the lambda is 2.0 the regulation term lambda/alpha is 5.875383506746817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30668104600255336 the lambda is 2.0 the regulation term lambda/alpha is 6.521433346041699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37352375292480217 the lambda is 2.0 the regulation term lambda/alpha is 5.354411826127267 420 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2923271593417382 the lambda is 2.0 the regulation term lambda/alpha is 6.841649624699931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36549431541288563 the lambda is 2.0 the regulation term lambda/alpha is 5.472041330494218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2718049425727375 the lambda is 2.0 the regulation term lambda/alpha is 7.358217923004772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2788172810640279 the lambda is 2.0 the regulation term lambda/alpha is 7.173156528775983 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28993545026284967 the lambda is 2.0 the regulation term lambda/alpha is 6.898087136936308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2974776921296138 the lambda is 2.0 the regulation term lambda/alpha is 6.723193210496542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33242311067590546 the lambda is 2.0 the regulation term lambda/alpha is 6.016428869621799 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25048189348092215 the lambda is 2.0 the regulation term lambda/alpha is 7.984609075754728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3432505853153956 the lambda is 2.0 the regulation term lambda/alpha is 5.826647019879955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28657436938230396 the lambda is 2.0 the regulation term lambda/alpha is 6.978991192795418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37523687926537325 the lambda is 2.0 the regulation term lambda/alpha is 5.329966510529392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3563398629598587 the lambda is 2.0 the regulation term lambda/alpha is 5.612619321867164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.352771799953087 the lambda is 2.0 the regulation term lambda/alpha is 5.6693874064365914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2625066694468864 the lambda is 2.0 the regulation term lambda/alpha is 7.618854043648079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30583112439311333 the lambda is 2.0 the regulation term lambda/alpha is 6.539556769994453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31561993947189904 the lambda is 2.0 the regulation term lambda/alpha is 6.336735262500956 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2745824015096871 the lambda is 2.0 the regulation term lambda/alpha is 7.28378799589398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2984669028795036 the lambda is 2.0 the regulation term lambda/alpha is 6.700910488582499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32766777533574615 the lambda is 2.0 the regulation term lambda/alpha is 6.103743335610869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34402394601633635 the lambda is 2.0 the regulation term lambda/alpha is 5.813548804259771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4044223436918989 the lambda is 2.0 the regulation term lambda/alpha is 4.945325180954048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28277084323538726 the lambda is 2.0 the regulation term lambda/alpha is 7.072864999504697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3021486130848155 the lambda is 2.0 the regulation term lambda/alpha is 6.6192592432604815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3672004427710556 the lambda is 2.0 the regulation term lambda/alpha is 5.446616526132492 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28601084760388107 the lambda is 2.0 the regulation term lambda/alpha is 6.992741767507915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32434866945809093 the lambda is 2.0 the regulation term lambda/alpha is 6.166203805742511 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34215255558261365 the lambda is 2.0 the regulation term lambda/alpha is 5.845345789086455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3019629342948413 the lambda is 2.0 the regulation term lambda/alpha is 6.6233294648248755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31832048287948544 the lambda is 2.0 the regulation term lambda/alpha is 6.282976143753809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32196732970337955 the lambda is 2.0 the regulation term lambda/alpha is 6.21181037791179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2976562358434317 the lambda is 2.0 the regulation term lambda/alpha is 6.719160424550982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31341480545770734 the lambda is 2.0 the regulation term lambda/alpha is 6.381319469191072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32650783545316214 the lambda is 2.0 the regulation term lambda/alpha is 6.125427272592672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3897436601684349 the lambda is 2.0 the regulation term lambda/alpha is 5.1315780201162555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3500896856076451 the lambda is 2.0 the regulation term lambda/alpha is 5.712821834578279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34346410116781556 the lambda is 2.0 the regulation term lambda/alpha is 5.82302486111294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28720917502511983 the lambda is 2.0 the regulation term lambda/alpha is 6.963565839514271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33114282972438797 the lambda is 2.0 the regulation term lambda/alpha is 6.039689887486349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3539580308354239 the lambda is 2.0 the regulation term lambda/alpha is 5.650387406889827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3304058655975335 the lambda is 2.0 the regulation term lambda/alpha is 6.053161303244521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3708004197577304 the lambda is 2.0 the regulation term lambda/alpha is 5.39373715193402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3432139541568074 the lambda is 2.0 the regulation term lambda/alpha is 5.827268896783378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3314948705147605 the lambda is 2.0 the regulation term lambda/alpha is 6.033275860028566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32185856834893983 the lambda is 2.0 the regulation term lambda/alpha is 6.213909451780446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2618775646543226 the lambda is 2.0 the regulation term lambda/alpha is 7.637156709624945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3226242349712082 the lambda is 2.0 the regulation term lambda/alpha is 6.1991623170481445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3273558715337963 the lambda is 2.0 the regulation term lambda/alpha is 6.10955896599374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34191535025510844 the lambda is 2.0 the regulation term lambda/alpha is 5.849401024282088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3379884411865978 the lambda is 2.0 the regulation term lambda/alpha is 5.917362123327268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29200640826169005 the lambda is 2.0 the regulation term lambda/alpha is 6.849164756027004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2828739485445192 the lambda is 2.0 the regulation term lambda/alpha is 7.070286996348257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29702864518694166 the lambda is 2.0 the regulation term lambda/alpha is 6.733357312192078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29267664694506895 the lambda is 2.0 the regulation term lambda/alpha is 6.833479954331205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3230339476092093 the lambda is 2.0 the regulation term lambda/alpha is 6.191299752865301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3616285547506711 the lambda is 2.0 the regulation term lambda/alpha is 5.53053671709891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3725590315491351 the lambda is 2.0 the regulation term lambda/alpha is 5.36827678471198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3904288188413709 the lambda is 2.0 the regulation term lambda/alpha is 5.122572677742288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30499592076512405 the lambda is 2.0 the regulation term lambda/alpha is 6.557464752258738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3184000016575125 the lambda is 2.0 the regulation term lambda/alpha is 6.281407002476412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2563114263352532 the lambda is 2.0 the regulation term lambda/alpha is 7.803007570111277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2854976369854571 the lambda is 2.0 the regulation term lambda/alpha is 7.005311921730118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31057838993825604 the lambda is 2.0 the regulation term lambda/alpha is 6.439598068615161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2752532384304706 the lambda is 2.0 the regulation term lambda/alpha is 7.266036219607288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37783496534859723 the lambda is 2.0 the regulation term lambda/alpha is 5.293316350843191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39881823190635013 the lambda is 2.0 the regulation term lambda/alpha is 5.01481587348704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30109358385542523 the lambda is 2.0 the regulation term lambda/alpha is 6.642453068546061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34544766168644314 the lambda is 2.0 the regulation term lambda/alpha is 5.789589051598113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3750337175611836 the lambda is 2.0 the regulation term lambda/alpha is 5.332853837798509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29317691438455706 the lambda is 2.0 the regulation term lambda/alpha is 6.8218195289981844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3764511323735072 the lambda is 2.0 the regulation term lambda/alpha is 5.312774562238905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3291352377720989 the lambda is 2.0 the regulation term lambda/alpha is 6.076529555260953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3264381508026951 the lambda is 2.0 the regulation term lambda/alpha is 6.1267348656463705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35869722437343365 the lambda is 2.0 the regulation term lambda/alpha is 5.57573313675222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3143360827874453 the lambda is 2.0 the regulation term lambda/alpha is 6.362616668963213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34815960412558233 the lambda is 2.0 the regulation term lambda/alpha is 5.744491825877057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.291670179095735 the lambda is 2.0 the regulation term lambda/alpha is 6.85706028021308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3519476736242691 the lambda is 2.0 the regulation term lambda/alpha is 5.682662935101972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2902397636744967 the lambda is 2.0 the regulation term lambda/alpha is 6.89085456341191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30106122810586033 the lambda is 2.0 the regulation term lambda/alpha is 6.64316694840809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31750364040371015 the lambda is 2.0 the regulation term lambda/alpha is 6.299140373499255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.360931958418753 the lambda is 2.0 the regulation term lambda/alpha is 5.541210616987265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32783005983809793 the lambda is 2.0 the regulation term lambda/alpha is 6.1007218221163715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33874931561408655 the lambda is 2.0 the regulation term lambda/alpha is 5.904070968746872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30925557530075604 the lambda is 2.0 the regulation term lambda/alpha is 6.467142906170626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27522871504503366 the lambda is 2.0 the regulation term lambda/alpha is 7.266683636817309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3379856140210066 the lambda is 2.0 the regulation term lambda/alpha is 5.917411620589554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3410361510801578 the lambda is 2.0 the regulation term lambda/alpha is 5.86448091695099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3246221973917825 the lambda is 2.0 the regulation term lambda/alpha is 6.161008138288907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31317357240251614 the lambda is 2.0 the regulation term lambda/alpha is 6.386234906914296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3351985855122395 the lambda is 2.0 the regulation term lambda/alpha is 5.966612290274631 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3286655392423923 the lambda is 2.0 the regulation term lambda/alpha is 6.085213571858507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34551235520685697 the lambda is 2.0 the regulation term lambda/alpha is 5.7885050125128155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3645369086970757 the lambda is 2.0 the regulation term lambda/alpha is 5.486412904384307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3404849152466725 the lambda is 2.0 the regulation term lambda/alpha is 5.873975352332574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31460267075173187 the lambda is 2.0 the regulation term lambda/alpha is 6.357225115797877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2772048188999814 the lambda is 2.0 the regulation term lambda/alpha is 7.214881790065931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3398446000959227 the lambda is 2.0 the regulation term lambda/alpha is 5.885042750231991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33115069167670824 the lambda is 2.0 the regulation term lambda/alpha is 6.039546497316501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28120013079694817 the lambda is 2.0 the regulation term lambda/alpha is 7.112372225189967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37644831493009 the lambda is 2.0 the regulation term lambda/alpha is 5.312814324514691 430 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4286540392290572 the lambda is 2.0 the regulation term lambda/alpha is 4.6657673017546735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30089486959041123 the lambda is 2.0 the regulation term lambda/alpha is 6.646839817250693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28392593751999556 the lambda is 2.0 the regulation term lambda/alpha is 7.044090502859216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32125757994698606 the lambda is 2.0 the regulation term lambda/alpha is 6.225534041344768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31661569182241484 the lambda is 2.0 the regulation term lambda/alpha is 6.316806310161566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2858867788972977 the lambda is 2.0 the regulation term lambda/alpha is 6.9957764668735605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30808182248186733 the lambda is 2.0 the regulation term lambda/alpha is 6.49178190354841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30317075871413646 the lambda is 2.0 the regulation term lambda/alpha is 6.596942292465037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3058792736387225 the lambda is 2.0 the regulation term lambda/alpha is 6.538527361491719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3898835117137726 the lambda is 2.0 the regulation term lambda/alpha is 5.129737318741172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31684785189410225 the lambda is 2.0 the regulation term lambda/alpha is 6.312177873525384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3744238845925697 the lambda is 2.0 the regulation term lambda/alpha is 5.341539582006915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3347521063272861 the lambda is 2.0 the regulation term lambda/alpha is 5.974570322926083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3406699955165829 the lambda is 2.0 the regulation term lambda/alpha is 5.870784120471934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36791372418857715 the lambda is 2.0 the regulation term lambda/alpha is 5.436057065854069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30499270702930803 the lambda is 2.0 the regulation term lambda/alpha is 6.5575338488595785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.363054647566404 the lambda is 2.0 the regulation term lambda/alpha is 5.508812553168577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32726999639874044 the lambda is 2.0 the regulation term lambda/alpha is 6.111162104708287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3449416594511874 the lambda is 2.0 the regulation term lambda/alpha is 5.7980819225548474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3408160960823971 the lambda is 2.0 the regulation term lambda/alpha is 5.868267440973421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36868068466179443 the lambda is 2.0 the regulation term lambda/alpha is 5.424748524145441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2982783860375333 the lambda is 2.0 the regulation term lambda/alpha is 6.705145574136014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28098606234725915 the lambda is 2.0 the regulation term lambda/alpha is 7.117790766177868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3513246697020876 the lambda is 2.0 the regulation term lambda/alpha is 5.692739999431119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3122872969742032 the lambda is 2.0 the regulation term lambda/alpha is 6.404359125005369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34002676393121256 the lambda is 2.0 the regulation term lambda/alpha is 5.881889933830621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3641770148137045 the lambda is 2.0 the regulation term lambda/alpha is 5.49183479089998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3308471704783126 the lambda is 2.0 the regulation term lambda/alpha is 6.045087213859374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33843322584449803 the lambda is 2.0 the regulation term lambda/alpha is 5.9095852512984415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30326346296227463 the lambda is 2.0 the regulation term lambda/alpha is 6.5949256810036365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2993928867479397 the lambda is 2.0 the regulation term lambda/alpha is 6.680185430336592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3190844622970022 the lambda is 2.0 the regulation term lambda/alpha is 6.267932902788636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29484961346217353 the lambda is 2.0 the regulation term lambda/alpha is 6.783118948387502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.327325343625063 the lambda is 2.0 the regulation term lambda/alpha is 6.110128772341299 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2848917442153438 the lambda is 2.0 the regulation term lambda/alpha is 7.02021045049393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2808723120279117 the lambda is 2.0 the regulation term lambda/alpha is 7.120673396248648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30492729546498765 the lambda is 2.0 the regulation term lambda/alpha is 6.558940540072589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3089581355943558 the lambda is 2.0 the regulation term lambda/alpha is 6.473368944153277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3673956034346179 the lambda is 2.0 the regulation term lambda/alpha is 5.443723281669379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28199974293711727 the lambda is 2.0 the regulation term lambda/alpha is 7.092205046605228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3434193207937356 the lambda is 2.0 the regulation term lambda/alpha is 5.823784158030058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3323733260292964 the lambda is 2.0 the regulation term lambda/alpha is 6.01733004237444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3758422395648347 the lambda is 2.0 the regulation term lambda/alpha is 5.321381658207658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3047465855784053 the lambda is 2.0 the regulation term lambda/alpha is 6.5628298876721605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32219578296129947 the lambda is 2.0 the regulation term lambda/alpha is 6.207405887246606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28900058709554655 the lambda is 2.0 the regulation term lambda/alpha is 6.920401166308979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2781783667838609 the lambda is 2.0 the regulation term lambda/alpha is 7.189631685320665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2924692144221707 the lambda is 2.0 the regulation term lambda/alpha is 6.83832657037557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28438435831726483 the lambda is 2.0 the regulation term lambda/alpha is 7.032735597113117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3649672372656943 the lambda is 2.0 the regulation term lambda/alpha is 5.479943939581651 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.42683741051865304 the lambda is 2.0 the regulation term lambda/alpha is 4.685624902395004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3075726343867079 the lambda is 2.0 the regulation term lambda/alpha is 6.502529082237598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3062434576812443 the lambda is 2.0 the regulation term lambda/alpha is 6.5307517592154225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3612454314775227 the lambda is 2.0 the regulation term lambda/alpha is 5.536402195648095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28914926759031534 the lambda is 2.0 the regulation term lambda/alpha is 6.9168426974324015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3811247974941877 the lambda is 2.0 the regulation term lambda/alpha is 5.247624959460952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3102287578725167 the lambda is 2.0 the regulation term lambda/alpha is 6.4468555839747985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.268102589887674 the lambda is 2.0 the regulation term lambda/alpha is 7.459830958134098 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31531676445576545 the lambda is 2.0 the regulation term lambda/alpha is 6.342827992200117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3701275318100733 the lambda is 2.0 the regulation term lambda/alpha is 5.403542909167528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2928438266842333 the lambda is 2.0 the regulation term lambda/alpha is 6.829578832667535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3460705972131784 the lambda is 2.0 the regulation term lambda/alpha is 5.779167649911634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3411350389047176 the lambda is 2.0 the regulation term lambda/alpha is 5.862780928108121 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37048107841460926 the lambda is 2.0 the regulation term lambda/alpha is 5.398386359051187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32708259468086204 the lambda is 2.0 the regulation term lambda/alpha is 6.11466349027658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28795130688645193 the lambda is 2.0 the regulation term lambda/alpha is 6.945618763205203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3361791727895903 the lambda is 2.0 the regulation term lambda/alpha is 5.949208522955618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.351166553265982 the lambda is 2.0 the regulation term lambda/alpha is 5.695303215523353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3248988637466009 the lambda is 2.0 the regulation term lambda/alpha is 6.155761755940965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31977552027770373 the lambda is 2.0 the regulation term lambda/alpha is 6.254387447366619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3124888738183148 the lambda is 2.0 the regulation term lambda/alpha is 6.400227872314029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32552923889142527 the lambda is 2.0 the regulation term lambda/alpha is 6.143841354499852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37713175733690885 the lambda is 2.0 the regulation term lambda/alpha is 5.3031863827190495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33067979502176914 the lambda is 2.0 the regulation term lambda/alpha is 6.048146969089348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30838874770783076 the lambda is 2.0 the regulation term lambda/alpha is 6.485320929720857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3593722731208978 the lambda is 2.0 the regulation term lambda/alpha is 5.565259619589996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2963670054682547 the lambda is 2.0 the regulation term lambda/alpha is 6.748389541001823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27621281333872233 the lambda is 2.0 the regulation term lambda/alpha is 7.240793704770609 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28938824212631925 the lambda is 2.0 the regulation term lambda/alpha is 6.911130823093328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3212053425472693 the lambda is 2.0 the regulation term lambda/alpha is 6.226546495582263 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3238220651994154 the lambda is 2.0 the regulation term lambda/alpha is 6.1762313780821705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25839311051908853 the lambda is 2.0 the regulation term lambda/alpha is 7.7401444488290725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3120292386382185 the lambda is 2.0 the regulation term lambda/alpha is 6.409655738444738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34097672019326286 the lambda is 2.0 the regulation term lambda/alpha is 5.865503072662603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2985909897429266 the lambda is 2.0 the regulation term lambda/alpha is 6.69812575966177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2474357598544604 the lambda is 2.0 the regulation term lambda/alpha is 8.082906048731125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35875812044854655 the lambda is 2.0 the regulation term lambda/alpha is 5.574786704477793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3541178676477052 the lambda is 2.0 the regulation term lambda/alpha is 5.647837013380256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4221384799717256 the lambda is 2.0 the regulation term lambda/alpha is 4.737781782257704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3437875341135725 the lambda is 2.0 the regulation term lambda/alpha is 5.81754659940429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3314476906277701 the lambda is 2.0 the regulation term lambda/alpha is 6.034134666052283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33881285746362605 the lambda is 2.0 the regulation term lambda/alpha is 5.902963703833802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33297852361911257 the lambda is 2.0 the regulation term lambda/alpha is 6.0063933801561324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3419919026469291 the lambda is 2.0 the regulation term lambda/alpha is 5.848091678547112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31510908128956494 the lambda is 2.0 the regulation term lambda/alpha is 6.3470084448696955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33013453866270637 the lambda is 2.0 the regulation term lambda/alpha is 6.058136201384766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3240999601945976 the lambda is 2.0 the regulation term lambda/alpha is 6.170935654540503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31377736570519926 the lambda is 2.0 the regulation term lambda/alpha is 6.3739460477179355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28482442463074814 the lambda is 2.0 the regulation term lambda/alpha is 7.0218697100602885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26882580450339444 the lambda is 2.0 the regulation term lambda/alpha is 7.439761981535319 440 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30777159704458545 the lambda is 2.0 the regulation term lambda/alpha is 6.498325443950142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37670795586962263 the lambda is 2.0 the regulation term lambda/alpha is 5.309152538026549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33626795832746464 the lambda is 2.0 the regulation term lambda/alpha is 5.9476377408886485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3568933184145491 the lambda is 2.0 the regulation term lambda/alpha is 5.603915503054899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27530556519219684 the lambda is 2.0 the regulation term lambda/alpha is 7.26465517906896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30056258533827046 the lambda is 2.0 the regulation term lambda/alpha is 6.654188170989695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35128392188331464 the lambda is 2.0 the regulation term lambda/alpha is 5.693400339183006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2940240939685808 the lambda is 2.0 the regulation term lambda/alpha is 6.802163635656738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3224344890255567 the lambda is 2.0 the regulation term lambda/alpha is 6.202810394273538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3476990638132591 the lambda is 2.0 the regulation term lambda/alpha is 5.752100618465146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31150354816519144 the lambda is 2.0 the regulation term lambda/alpha is 6.420472613491365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3151933896980119 the lambda is 2.0 the regulation term lambda/alpha is 6.345310737373675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2976050571770293 the lambda is 2.0 the regulation term lambda/alpha is 6.72031590783858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.276359321944001 the lambda is 2.0 the regulation term lambda/alpha is 7.23695508416851 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27490311324769 the lambda is 2.0 the regulation term lambda/alpha is 7.275290470057294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.44854044725564873 the lambda is 2.0 the regulation term lambda/alpha is 4.458906687762065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.286409469456141 the lambda is 2.0 the regulation term lambda/alpha is 6.9830093390339805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3507451316288394 the lambda is 2.0 the regulation term lambda/alpha is 5.702146144444314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2955393049747611 the lambda is 2.0 the regulation term lambda/alpha is 6.767289380242668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33352722446379407 the lambda is 2.0 the regulation term lambda/alpha is 5.996511988535165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35396425821607835 the lambda is 2.0 the regulation term lambda/alpha is 5.650287998228045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2936100838321731 the lambda is 2.0 the regulation term lambda/alpha is 6.811755147834758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25608590659925773 the lambda is 2.0 the regulation term lambda/alpha is 7.809879218108432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28688535812774807 the lambda is 2.0 the regulation term lambda/alpha is 6.9714258442893895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2998357396853094 the lambda is 2.0 the regulation term lambda/alpha is 6.670318895602928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3994761015743418 the lambda is 2.0 the regulation term lambda/alpha is 5.006557318743142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33689339046536915 the lambda is 2.0 the regulation term lambda/alpha is 5.936596135760608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34739872963755325 the lambda is 2.0 the regulation term lambda/alpha is 5.757073441479284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32723949491048887 the lambda is 2.0 the regulation term lambda/alpha is 6.111731716695957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28215484084201453 the lambda is 2.0 the regulation term lambda/alpha is 7.088306527123699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35393001440298855 the lambda is 2.0 the regulation term lambda/alpha is 5.650834680900441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34883838981610665 the lambda is 2.0 the regulation term lambda/alpha is 5.73331393099916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2928062432705021 the lambda is 2.0 the regulation term lambda/alpha is 6.830455449518361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30422724150072206 the lambda is 2.0 the regulation term lambda/alpha is 6.5740332461163025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2663610631499034 the lambda is 2.0 the regulation term lambda/alpha is 7.50860496030696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3675065319780509 the lambda is 2.0 the regulation term lambda/alpha is 5.442080142726413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34079930158083077 the lambda is 2.0 the regulation term lambda/alpha is 5.868556627677361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31214051519632097 the lambda is 2.0 the regulation term lambda/alpha is 6.407370727706074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30375190817921754 the lambda is 2.0 the regulation term lambda/alpha is 6.58432077674381 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3098520818153335 the lambda is 2.0 the regulation term lambda/alpha is 6.45469279497036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3345819666374588 the lambda is 2.0 the regulation term lambda/alpha is 5.977608476930047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.41640462862251426 the lambda is 2.0 the regulation term lambda/alpha is 4.803020577883806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3575666600857399 the lambda is 2.0 the regulation term lambda/alpha is 5.59336264605997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23403754832876664 the lambda is 2.0 the regulation term lambda/alpha is 8.54563728889554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29739525030788705 the lambda is 2.0 the regulation term lambda/alpha is 6.72505696687974 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2599408634996093 the lambda is 2.0 the regulation term lambda/alpha is 7.694057690944794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3019867193698204 the lambda is 2.0 the regulation term lambda/alpha is 6.622807798215624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3060342438454904 the lambda is 2.0 the regulation term lambda/alpha is 6.535216369478423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3300666531127602 the lambda is 2.0 the regulation term lambda/alpha is 6.059382191865177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30977014486157767 the lambda is 2.0 the regulation term lambda/alpha is 6.456400118525657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29795733799052176 the lambda is 2.0 the regulation term lambda/alpha is 6.712370346333345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3183043506635801 the lambda is 2.0 the regulation term lambda/alpha is 6.283294575869072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2907473602618713 the lambda is 2.0 the regulation term lambda/alpha is 6.878824276164135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27351193247848005 the lambda is 2.0 the regulation term lambda/alpha is 7.3122952328866315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2946107309947399 the lambda is 2.0 the regulation term lambda/alpha is 6.788618979516088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28683803114543166 the lambda is 2.0 the regulation term lambda/alpha is 6.972576098132422 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3143493237241878 the lambda is 2.0 the regulation term lambda/alpha is 6.362348664553876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2903890706612547 the lambda is 2.0 the regulation term lambda/alpha is 6.887311548763639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41496351204032456 the lambda is 2.0 the regulation term lambda/alpha is 4.819700870002391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3373546682401255 the lambda is 2.0 the regulation term lambda/alpha is 5.928478803727184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3449314583783477 the lambda is 2.0 the regulation term lambda/alpha is 5.798253396204426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2857095013912312 the lambda is 2.0 the regulation term lambda/alpha is 7.000117217877665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28462495564477314 the lambda is 2.0 the regulation term lambda/alpha is 7.026790730522255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34893048367918705 the lambda is 2.0 the regulation term lambda/alpha is 5.731800726928851 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38938614873053656 the lambda is 2.0 the regulation term lambda/alpha is 5.136289532949058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36686954082687023 the lambda is 2.0 the regulation term lambda/alpha is 5.451529160726434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27520590909990883 the lambda is 2.0 the regulation term lambda/alpha is 7.267285817158577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31035441802489344 the lambda is 2.0 the regulation term lambda/alpha is 6.444245300995137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25811198337353897 the lambda is 2.0 the regulation term lambda/alpha is 7.748574761465473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25528267400895815 the lambda is 2.0 the regulation term lambda/alpha is 7.834452564257525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39123437878205536 the lambda is 2.0 the regulation term lambda/alpha is 5.112025191206774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2771670609691665 the lambda is 2.0 the regulation term lambda/alpha is 7.215864659410197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.43883488067417675 the lambda is 2.0 the regulation term lambda/alpha is 4.557522859002056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3695206223984371 the lambda is 2.0 the regulation term lambda/alpha is 5.4124178158681815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28676587961421085 the lambda is 2.0 the regulation term lambda/alpha is 6.9743304283292735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.299037496106018 the lambda is 2.0 the regulation term lambda/alpha is 6.688124486204695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3476026453299213 the lambda is 2.0 the regulation term lambda/alpha is 5.753696143772822 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33770279224496924 the lambda is 2.0 the regulation term lambda/alpha is 5.922367377256395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30270389491500127 the lambda is 2.0 the regulation term lambda/alpha is 6.607116834626778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34006606041240295 the lambda is 2.0 the regulation term lambda/alpha is 5.881210249486736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35084874686484974 the lambda is 2.0 the regulation term lambda/alpha is 5.700462144647246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3414915374856013 the lambda is 2.0 the regulation term lambda/alpha is 5.856660503876552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2680292276485507 the lambda is 2.0 the regulation term lambda/alpha is 7.461872787330753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3261060113109224 the lambda is 2.0 the regulation term lambda/alpha is 6.132974954862518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34937396827459816 the lambda is 2.0 the regulation term lambda/alpha is 5.724524954956163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3044130716003195 the lambda is 2.0 the regulation term lambda/alpha is 6.5700201029011955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3643541421088275 the lambda is 2.0 the regulation term lambda/alpha is 5.489164987735004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27462977789417636 the lambda is 2.0 the regulation term lambda/alpha is 7.2825314695869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27443888943711275 the lambda is 2.0 the regulation term lambda/alpha is 7.2875969003594765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33835302863644906 the lambda is 2.0 the regulation term lambda/alpha is 5.91098595469924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31634307373686565 the lambda is 2.0 the regulation term lambda/alpha is 6.322250006534365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31347137151105703 the lambda is 2.0 the regulation term lambda/alpha is 6.380167957154117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2784857874002322 the lambda is 2.0 the regulation term lambda/alpha is 7.18169504688458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34361809036084096 the lambda is 2.0 the regulation term lambda/alpha is 5.820415327667282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29202582242718356 the lambda is 2.0 the regulation term lambda/alpha is 6.848709416780082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2848690411752744 the lambda is 2.0 the regulation term lambda/alpha is 7.020769936068408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3459842395890959 the lambda is 2.0 the regulation term lambda/alpha is 5.780610129453516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3372443323360021 the lambda is 2.0 the regulation term lambda/alpha is 5.930418418440215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32630058903278203 the lambda is 2.0 the regulation term lambda/alpha is 6.129317773922463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4250893840954716 the lambda is 2.0 the regulation term lambda/alpha is 4.704892840962635 450 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26845295061632035 the lambda is 2.0 the regulation term lambda/alpha is 7.450095055421648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35447413128348815 the lambda is 2.0 the regulation term lambda/alpha is 5.642160664188254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30999321539103525 the lambda is 2.0 the regulation term lambda/alpha is 6.451754105254003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26647468656162754 the lambda is 2.0 the regulation term lambda/alpha is 7.5054033304490275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33896125312564923 the lambda is 2.0 the regulation term lambda/alpha is 5.900379413745624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2925458457176649 the lambda is 2.0 the regulation term lambda/alpha is 6.836535296181214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3423599174750292 the lambda is 2.0 the regulation term lambda/alpha is 5.841805357211171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3250784486855648 the lambda is 2.0 the regulation term lambda/alpha is 6.152361093412621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3586462841943855 the lambda is 2.0 the regulation term lambda/alpha is 5.5765250837396225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34786597232891453 the lambda is 2.0 the regulation term lambda/alpha is 5.749340720537502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2738098743635754 the lambda is 2.0 the regulation term lambda/alpha is 7.304338474456631 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27275851513761945 the lambda is 2.0 the regulation term lambda/alpha is 7.3324933558569425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3121572655469549 the lambda is 2.0 the regulation term lambda/alpha is 6.407026908361865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3101048975715032 the lambda is 2.0 the regulation term lambda/alpha is 6.449430549670196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31995628426311096 the lambda is 2.0 the regulation term lambda/alpha is 6.250853939644242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.4036425875871785 the lambda is 2.0 the regulation term lambda/alpha is 4.954878552224227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3248922006742505 the lambda is 2.0 the regulation term lambda/alpha is 6.155888001772247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2835172051908455 the lambda is 2.0 the regulation term lambda/alpha is 7.054245609728443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2823355333298282 the lambda is 2.0 the regulation term lambda/alpha is 7.083770067523074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3678871805225039 the lambda is 2.0 the regulation term lambda/alpha is 5.436449286325862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34507158971082186 the lambda is 2.0 the regulation term lambda/alpha is 5.795898763140852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2484388993880344 the lambda is 2.0 the regulation term lambda/alpha is 8.050269120200129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2962063117637658 the lambda is 2.0 the regulation term lambda/alpha is 6.7520505828892174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010695657528097 the lambda is 2.0 the regulation term lambda/alpha is 6.642982976373244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2818494016056728 the lambda is 2.0 the regulation term lambda/alpha is 7.095988100759359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3012999490955032 the lambda is 2.0 the regulation term lambda/alpha is 6.637903544305144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32937212026246987 the lambda is 2.0 the regulation term lambda/alpha is 6.072159350968264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3220810759229458 the lambda is 2.0 the regulation term lambda/alpha is 6.209616613670518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30580074946902497 the lambda is 2.0 the regulation term lambda/alpha is 6.540206338515149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3744321473202828 the lambda is 2.0 the regulation term lambda/alpha is 5.341421708348228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3478561918169406 the lambda is 2.0 the regulation term lambda/alpha is 5.749502372096629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3233190971947414 the lambda is 2.0 the regulation term lambda/alpha is 6.185839368453268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2631073749926384 the lambda is 2.0 the regulation term lambda/alpha is 7.60145929035991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3372448947226689 the lambda is 2.0 the regulation term lambda/alpha is 5.930408528925803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.22896513544120178 the lambda is 2.0 the regulation term lambda/alpha is 8.734954324579254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33136055430568156 the lambda is 2.0 the regulation term lambda/alpha is 6.035721433985143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2882720087499372 the lambda is 2.0 the regulation term lambda/alpha is 6.937891780311243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3530146356839637 the lambda is 2.0 the regulation term lambda/alpha is 5.665487483613852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2874806003535498 the lambda is 2.0 the regulation term lambda/alpha is 6.956991176240614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31874141568421205 the lambda is 2.0 the regulation term lambda/alpha is 6.274678788468042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3113898048065293 the lambda is 2.0 the regulation term lambda/alpha is 6.422817860856514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35684936539549217 the lambda is 2.0 the regulation term lambda/alpha is 5.604605735485679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3595771447298184 the lambda is 2.0 the regulation term lambda/alpha is 5.562088773753332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37320642123555425 the lambda is 2.0 the regulation term lambda/alpha is 5.358964600283962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3434944174006322 the lambda is 2.0 the regulation term lambda/alpha is 5.8225109308467005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30120336579014767 the lambda is 2.0 the regulation term lambda/alpha is 6.640032041983973 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35322619373661474 the lambda is 2.0 the regulation term lambda/alpha is 5.662094248568984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32411761260947985 the lambda is 2.0 the regulation term lambda/alpha is 6.170599566922466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3717818009900698 the lambda is 2.0 the regulation term lambda/alpha is 5.379499466283503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.309187486786194 the lambda is 2.0 the regulation term lambda/alpha is 6.4685670846149685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33989845988993833 the lambda is 2.0 the regulation term lambda/alpha is 5.884110215290811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2917838177186025 the lambda is 2.0 the regulation term lambda/alpha is 6.8543897178314666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2972829924205558 the lambda is 2.0 the regulation term lambda/alpha is 6.7275964350179525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31430950807265 the lambda is 2.0 the regulation term lambda/alpha is 6.3631546250828555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3094647240526041 the lambda is 2.0 the regulation term lambda/alpha is 6.462772149952806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.299933926729538 the lambda is 2.0 the regulation term lambda/alpha is 6.668135285020548 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34846600574556186 the lambda is 2.0 the regulation term lambda/alpha is 5.739440769038265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3647741759153671 the lambda is 2.0 the regulation term lambda/alpha is 5.482844269283001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3477745391719904 the lambda is 2.0 the regulation term lambda/alpha is 5.750852275620178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2952147983554864 the lambda is 2.0 the regulation term lambda/alpha is 6.774728134026927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30309886482770715 the lambda is 2.0 the regulation term lambda/alpha is 6.598507061835667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30140715091335174 the lambda is 2.0 the regulation term lambda/alpha is 6.635542633741156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.387407510054459 the lambda is 2.0 the regulation term lambda/alpha is 5.162522532717174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28384300332067675 the lambda is 2.0 the regulation term lambda/alpha is 7.046148668813457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3049901658106741 the lambda is 2.0 the regulation term lambda/alpha is 6.557588487103946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3419250274891979 the lambda is 2.0 the regulation term lambda/alpha is 5.849235473303235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30261196623906006 the lambda is 2.0 the regulation term lambda/alpha is 6.609123971059434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3133255896222792 the lambda is 2.0 the regulation term lambda/alpha is 6.383136476056882 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31936343992989397 the lambda is 2.0 the regulation term lambda/alpha is 6.262457595143126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3582222843457134 the lambda is 2.0 the regulation term lambda/alpha is 5.583125582633599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3155627258226123 the lambda is 2.0 the regulation term lambda/alpha is 6.337884155317706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2944272861867983 the lambda is 2.0 the regulation term lambda/alpha is 6.792848672086416 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34353165708883754 the lambda is 2.0 the regulation term lambda/alpha is 5.821879756143693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3345403628672961 the lambda is 2.0 the regulation term lambda/alpha is 5.978351858228092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2300158112700372 the lambda is 2.0 the regulation term lambda/alpha is 8.695054435418841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34789405673500096 the lambda is 2.0 the regulation term lambda/alpha is 5.748876594127754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2916992790882265 the lambda is 2.0 the regulation term lambda/alpha is 6.856376218177371 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.347526262973547 the lambda is 2.0 the regulation term lambda/alpha is 5.754960741347586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3335531942750548 the lambda is 2.0 the regulation term lambda/alpha is 5.9960451116254605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39827177923559254 the lambda is 2.0 the regulation term lambda/alpha is 5.021696500411408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32723886365421967 the lambda is 2.0 the regulation term lambda/alpha is 6.111743506459919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31620867218283505 the lambda is 2.0 the regulation term lambda/alpha is 6.324937220075924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38189668578030284 the lambda is 2.0 the regulation term lambda/alpha is 5.237018477689953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3444930474046139 the lambda is 2.0 the regulation term lambda/alpha is 5.805632407004605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30212668232908735 the lambda is 2.0 the regulation term lambda/alpha is 6.619739721702327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2792038914708199 the lambda is 2.0 the regulation term lambda/alpha is 7.163223941701484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3445770157032691 the lambda is 2.0 the regulation term lambda/alpha is 5.80421766065294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2788067138782547 the lambda is 2.0 the regulation term lambda/alpha is 7.17342840199082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32382635077616945 the lambda is 2.0 the regulation term lambda/alpha is 6.176149640714109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3677922110926177 the lambda is 2.0 the regulation term lambda/alpha is 5.437853058547666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3632715786060776 the lambda is 2.0 the regulation term lambda/alpha is 5.5055229139429835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26640830962561884 the lambda is 2.0 the regulation term lambda/alpha is 7.507273338472744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2763722817973836 the lambda is 2.0 the regulation term lambda/alpha is 7.236615723519832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2789873287063365 the lambda is 2.0 the regulation term lambda/alpha is 7.168784364773821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3052209581045013 the lambda is 2.0 the regulation term lambda/alpha is 6.552629978034608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3591526745122149 the lambda is 2.0 the regulation term lambda/alpha is 5.568662415548793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3539952910337536 the lambda is 2.0 the regulation term lambda/alpha is 5.6497926685959765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29186709843836695 the lambda is 2.0 the regulation term lambda/alpha is 6.852433901255014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25498614309476525 the lambda is 2.0 the regulation term lambda/alpha is 7.8435634804543195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35713218650190576 the lambda is 2.0 the regulation term lambda/alpha is 5.60016732064929 460 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24562940299797742 the lambda is 2.0 the regulation term lambda/alpha is 8.14234768146413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33882957506282246 the lambda is 2.0 the regulation term lambda/alpha is 5.902672455995553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3262801246658225 the lambda is 2.0 the regulation term lambda/alpha is 6.129702206189876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3289748112679705 the lambda is 2.0 the regulation term lambda/alpha is 6.079492810684752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31148079449145144 the lambda is 2.0 the regulation term lambda/alpha is 6.420941629050872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32512325717849244 the lambda is 2.0 the regulation term lambda/alpha is 6.151513174900316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3139655255815919 the lambda is 2.0 the regulation term lambda/alpha is 6.370126135011754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30156239786604694 the lambda is 2.0 the regulation term lambda/alpha is 6.632126598517079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30098058195344346 the lambda is 2.0 the regulation term lambda/alpha is 6.644946949798129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24107686278037235 the lambda is 2.0 the regulation term lambda/alpha is 8.296109286199128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3308423463321911 the lambda is 2.0 the regulation term lambda/alpha is 6.045175359722078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3253532147671491 the lambda is 2.0 the regulation term lambda/alpha is 6.147165324404042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33419344124291467 the lambda is 2.0 the regulation term lambda/alpha is 5.9845579032362375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3439328207163972 the lambda is 2.0 the regulation term lambda/alpha is 5.815089109071029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3305124085502849 the lambda is 2.0 the regulation term lambda/alpha is 6.051210024980698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3616860795863561 the lambda is 2.0 the regulation term lambda/alpha is 5.529657105651699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26515712969155997 the lambda is 2.0 the regulation term lambda/alpha is 7.542697427470533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29104745148371286 the lambda is 2.0 the regulation term lambda/alpha is 6.871731704931012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3750082685503922 the lambda is 2.0 the regulation term lambda/alpha is 5.333215738765097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31290406255781755 the lambda is 2.0 the regulation term lambda/alpha is 6.391735484835533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.313513042721768 the lambda is 2.0 the regulation term lambda/alpha is 6.379319924418363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3143166035011657 the lambda is 2.0 the regulation term lambda/alpha is 6.363010982309061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3490497419308682 the lambda is 2.0 the regulation term lambda/alpha is 5.729842368415543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25976834196927423 the lambda is 2.0 the regulation term lambda/alpha is 7.699167592317939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3240685735801234 the lambda is 2.0 the regulation term lambda/alpha is 6.171533320572091 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3186890250143743 the lambda is 2.0 the regulation term lambda/alpha is 6.27571031010494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36710273366335044 the lambda is 2.0 the regulation term lambda/alpha is 5.44806621307835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27984137537648013 the lambda is 2.0 the regulation term lambda/alpha is 7.146905983110367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.38308700331045836 the lambda is 2.0 the regulation term lambda/alpha is 5.220746156139303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3169892118647002 the lambda is 2.0 the regulation term lambda/alpha is 6.3093629850521715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33704216944270776 the lambda is 2.0 the regulation term lambda/alpha is 5.933975571386092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3166963955779951 the lambda is 2.0 the regulation term lambda/alpha is 6.315196598148353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3270095917050025 the lambda is 2.0 the regulation term lambda/alpha is 6.116028553083584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3203687799136475 the lambda is 2.0 the regulation term lambda/alpha is 6.242805558453861 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3182039235386347 the lambda is 2.0 the regulation term lambda/alpha is 6.28527762247146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3283138543579974 the lambda is 2.0 the regulation term lambda/alpha is 6.091731961512583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2934112172248747 the lambda is 2.0 the regulation term lambda/alpha is 6.81637198099066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25751785058107873 the lambda is 2.0 the regulation term lambda/alpha is 7.766451900274408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37255137541779487 the lambda is 2.0 the regulation term lambda/alpha is 5.368387105690095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3448142639639677 the lambda is 2.0 the regulation term lambda/alpha is 5.800224088783622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2979376632265525 the lambda is 2.0 the regulation term lambda/alpha is 6.712813607855933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2609326438895335 the lambda is 2.0 the regulation term lambda/alpha is 7.664813302726143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23326926383494104 the lambda is 2.0 the regulation term lambda/alpha is 8.573782791268977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2860766364704593 the lambda is 2.0 the regulation term lambda/alpha is 6.991133651022645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35099618817254125 the lambda is 2.0 the regulation term lambda/alpha is 5.698067578491332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3336818941648904 the lambda is 2.0 the regulation term lambda/alpha is 5.993732458889996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32365238212286734 the lambda is 2.0 the regulation term lambda/alpha is 6.179469426060782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3697471438366376 the lambda is 2.0 the regulation term lambda/alpha is 5.409101958833911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33853139895834305 the lambda is 2.0 the regulation term lambda/alpha is 5.90787148888988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3054005265120103 the lambda is 2.0 the regulation term lambda/alpha is 6.5487771839887365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3215180882351278 the lambda is 2.0 the regulation term lambda/alpha is 6.220489836134476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3479106902286911 the lambda is 2.0 the regulation term lambda/alpha is 5.748601742261343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3300274261811297 the lambda is 2.0 the regulation term lambda/alpha is 6.060102407677887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30995388565816967 the lambda is 2.0 the regulation term lambda/alpha is 6.452572761761358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3539299617831485 the lambda is 2.0 the regulation term lambda/alpha is 5.650835521027158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34824044737847804 the lambda is 2.0 the regulation term lambda/alpha is 5.743158254751323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2954405971706178 the lambda is 2.0 the regulation term lambda/alpha is 6.7695503568353335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31676334019329977 the lambda is 2.0 the regulation term lambda/alpha is 6.313861947470095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3408214230389051 the lambda is 2.0 the regulation term lambda/alpha is 5.868175721370948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3151379618672363 the lambda is 2.0 the regulation term lambda/alpha is 6.346426778131462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33746194054226863 the lambda is 2.0 the regulation term lambda/alpha is 5.926594260633344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2852500361151506 the lambda is 2.0 the regulation term lambda/alpha is 7.011392626757228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2914592511439574 the lambda is 2.0 the regulation term lambda/alpha is 6.862022708663865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31915137053620585 the lambda is 2.0 the regulation term lambda/alpha is 6.266618866902569 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35897684854405704 the lambda is 2.0 the regulation term lambda/alpha is 5.571389932558676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2876133530725572 the lambda is 2.0 the regulation term lambda/alpha is 6.953780061440518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3377976522193973 the lambda is 2.0 the regulation term lambda/alpha is 5.920704264400907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3429434140327136 the lambda is 2.0 the regulation term lambda/alpha is 5.831865894381102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29007973119555913 the lambda is 2.0 the regulation term lambda/alpha is 6.894656140768715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32421993792505444 the lambda is 2.0 the regulation term lambda/alpha is 6.168652097090689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27395644840930095 the lambda is 2.0 the regulation term lambda/alpha is 7.3004304575153744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3084653278422496 the lambda is 2.0 the regulation term lambda/alpha is 6.483710872759119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27455594250224225 the lambda is 2.0 the regulation term lambda/alpha is 7.284489935903196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.290612896669082 the lambda is 2.0 the regulation term lambda/alpha is 6.882007037276738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31651563322004705 the lambda is 2.0 the regulation term lambda/alpha is 6.318803212508515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3145695248603261 the lambda is 2.0 the regulation term lambda/alpha is 6.357894970557088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3180330660858527 the lambda is 2.0 the regulation term lambda/alpha is 6.288654273012297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35484803092650813 the lambda is 2.0 the regulation term lambda/alpha is 5.636215578759168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36327105883430155 the lambda is 2.0 the regulation term lambda/alpha is 5.505530791298896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32807835509932787 the lambda is 2.0 the regulation term lambda/alpha is 6.096104692412539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3500223760677677 the lambda is 2.0 the regulation term lambda/alpha is 5.713920414084558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3424162579447977 the lambda is 2.0 the regulation term lambda/alpha is 5.840844158522485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33058507621389166 the lambda is 2.0 the regulation term lambda/alpha is 6.049879876325637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36023687066130655 the lambda is 2.0 the regulation term lambda/alpha is 5.551902547700046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2943917640966118 the lambda is 2.0 the regulation term lambda/alpha is 6.79366831520345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3317127793865874 the lambda is 2.0 the regulation term lambda/alpha is 6.029312478399103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3428285421079918 the lambda is 2.0 the regulation term lambda/alpha is 5.83381998389736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3210713113031034 the lambda is 2.0 the regulation term lambda/alpha is 6.229145767906759 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3308425991814475 the lambda is 2.0 the regulation term lambda/alpha is 6.045170739645649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2703638473023995 the lambda is 2.0 the regulation term lambda/alpha is 7.397438747655556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32266079156295707 the lambda is 2.0 the regulation term lambda/alpha is 6.198459968786642 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3499778674349484 the lambda is 2.0 the regulation term lambda/alpha is 5.714647085138168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3118174980968429 the lambda is 2.0 the regulation term lambda/alpha is 6.414008233042935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33037859795158 the lambda is 2.0 the regulation term lambda/alpha is 6.053660898134565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30270454765985644 the lambda is 2.0 the regulation term lambda/alpha is 6.6071025871978755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3041379450415407 the lambda is 2.0 the regulation term lambda/alpha is 6.57596341596518 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29847491957293387 the lambda is 2.0 the regulation term lambda/alpha is 6.700730509825265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29707798027283255 the lambda is 2.0 the regulation term lambda/alpha is 6.732239118372981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3199082029044163 the lambda is 2.0 the regulation term lambda/alpha is 6.251793426496068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3127299959154936 the lambda is 2.0 the regulation term lambda/alpha is 6.395293147832366 470 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3259790397428574 the lambda is 2.0 the regulation term lambda/alpha is 6.135363800008931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28602532985846807 the lambda is 2.0 the regulation term lambda/alpha is 6.9923877056260935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34503783797637444 the lambda is 2.0 the regulation term lambda/alpha is 5.796465720194273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27323235637764043 the lambda is 2.0 the regulation term lambda/alpha is 7.319777300590843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32975100958613435 the lambda is 2.0 the regulation term lambda/alpha is 6.06518234018501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3247567599217393 the lambda is 2.0 the regulation term lambda/alpha is 6.158455332791117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32854050869615314 the lambda is 2.0 the regulation term lambda/alpha is 6.08752938241073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32752754208530305 the lambda is 2.0 the regulation term lambda/alpha is 6.1063566968029495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39660012216565055 the lambda is 2.0 the regulation term lambda/alpha is 5.042862793583929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30029778736193097 the lambda is 2.0 the regulation term lambda/alpha is 6.660055731910937 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3367845131897007 the lambda is 2.0 the regulation term lambda/alpha is 5.938515346379539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26221693853285205 the lambda is 2.0 the regulation term lambda/alpha is 7.62727233103375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31134686876455425 the lambda is 2.0 the regulation term lambda/alpha is 6.423703594438375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28624974674754955 the lambda is 2.0 the regulation term lambda/alpha is 6.9869057448069904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38615959852370285 the lambda is 2.0 the regulation term lambda/alpha is 5.179205716097817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3018165438784801 the lambda is 2.0 the regulation term lambda/alpha is 6.626541985734409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2670422224860874 the lambda is 2.0 the regulation term lambda/alpha is 7.489452347200255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3095625013891855 the lambda is 2.0 the regulation term lambda/alpha is 6.460730841186663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3500146266522638 the lambda is 2.0 the regulation term lambda/alpha is 5.714046921779017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3124764766956217 the lambda is 2.0 the regulation term lambda/alpha is 6.400481793540472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33150579997165486 the lambda is 2.0 the regulation term lambda/alpha is 6.0330769481891675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34184738609557025 the lambda is 2.0 the regulation term lambda/alpha is 5.850563969036347 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31821264002485766 the lambda is 2.0 the regulation term lambda/alpha is 6.285105456036463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36924659480667976 the lambda is 2.0 the regulation term lambda/alpha is 5.416434513220376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3362752249770415 the lambda is 2.0 the regulation term lambda/alpha is 5.947509217000883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3030849779954324 the lambda is 2.0 the regulation term lambda/alpha is 6.598809394077396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24361185570449032 the lambda is 2.0 the regulation term lambda/alpha is 8.209781064292986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29362384946396536 the lambda is 2.0 the regulation term lambda/alpha is 6.811435800093097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2978944233268148 the lambda is 2.0 the regulation term lambda/alpha is 6.713787984563359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3306625692914757 the lambda is 2.0 the regulation term lambda/alpha is 6.048462044813486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.339958613896916 the lambda is 2.0 the regulation term lambda/alpha is 5.883069050888795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3216813472982354 the lambda is 2.0 the regulation term lambda/alpha is 6.217332825784801 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29059092074113985 the lambda is 2.0 the regulation term lambda/alpha is 6.882527488811711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32201345532440084 the lambda is 2.0 the regulation term lambda/alpha is 6.2109205902131395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2906050208094973 the lambda is 2.0 the regulation term lambda/alpha is 6.882193550644386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3183095203020135 the lambda is 2.0 the regulation term lambda/alpha is 6.283192529404685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3981679392018262 the lambda is 2.0 the regulation term lambda/alpha is 5.023006131556529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3407501023518733 the lambda is 2.0 the regulation term lambda/alpha is 5.869403959664004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3479591035906324 the lambda is 2.0 the regulation term lambda/alpha is 5.747801909367383 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3010516314082561 the lambda is 2.0 the regulation term lambda/alpha is 6.643378714290375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31007068162490503 the lambda is 2.0 the regulation term lambda/alpha is 6.45014223698652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27684999816772954 the lambda is 2.0 the regulation term lambda/alpha is 7.22412863730019 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.41902960276470924 the lambda is 2.0 the regulation term lambda/alpha is 4.7729324773338915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32461321029969714 the lambda is 2.0 the regulation term lambda/alpha is 6.161178709127433 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36139913784760397 the lambda is 2.0 the regulation term lambda/alpha is 5.534047512983738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32506283399337305 the lambda is 2.0 the regulation term lambda/alpha is 6.15265662773608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.327141099150512 the lambda is 2.0 the regulation term lambda/alpha is 6.113569970857848 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3181100094634864 the lambda is 2.0 the regulation term lambda/alpha is 6.287133194498131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31963036882624135 the lambda is 2.0 the regulation term lambda/alpha is 6.257227707568824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2855540186149734 the lambda is 2.0 the regulation term lambda/alpha is 7.003928747704646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3682781157355131 the lambda is 2.0 the regulation term lambda/alpha is 5.430678377415028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28156239856926796 the lambda is 2.0 the regulation term lambda/alpha is 7.103221204829929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38949439533598945 the lambda is 2.0 the regulation term lambda/alpha is 5.134862077475442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3401890100790405 the lambda is 2.0 the regulation term lambda/alpha is 5.879084687466283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4369912893764126 the lambda is 2.0 the regulation term lambda/alpha is 4.576750266244446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31164478134016593 the lambda is 2.0 the regulation term lambda/alpha is 6.417562942653494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36109878225209946 the lambda is 2.0 the regulation term lambda/alpha is 5.538650636057003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31862469871425103 the lambda is 2.0 the regulation term lambda/alpha is 6.276977296708689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2678622296924255 the lambda is 2.0 the regulation term lambda/alpha is 7.466524870999963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3681422512785916 the lambda is 2.0 the regulation term lambda/alpha is 5.432682592269204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3404626574792315 the lambda is 2.0 the regulation term lambda/alpha is 5.874359363837139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32715344503574206 the lambda is 2.0 the regulation term lambda/alpha is 6.113339261279968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3218877797767055 the lambda is 2.0 the regulation term lambda/alpha is 6.213345537340392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3235332722938547 the lambda is 2.0 the regulation term lambda/alpha is 6.181744417876951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3555997584808554 the lambda is 2.0 the regulation term lambda/alpha is 5.624300782835529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2953221211235914 the lambda is 2.0 the regulation term lambda/alpha is 6.772266135671584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3140678836790306 the lambda is 2.0 the regulation term lambda/alpha is 6.368050042467727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26902115958163786 the lambda is 2.0 the regulation term lambda/alpha is 7.434359450053128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28289080734700633 the lambda is 2.0 the regulation term lambda/alpha is 7.0698656444736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.339656195586316 the lambda is 2.0 the regulation term lambda/alpha is 5.888307135241833 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30702197056957226 the lambda is 2.0 the regulation term lambda/alpha is 6.514191789889489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2893173371654306 the lambda is 2.0 the regulation term lambda/alpha is 6.912824580769618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29157227797880686 the lambda is 2.0 the regulation term lambda/alpha is 6.859362672830548 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2824643065819117 the lambda is 2.0 the regulation term lambda/alpha is 7.080540632556068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3775396878906929 the lambda is 2.0 the regulation term lambda/alpha is 5.297456304988654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25110527966638124 the lambda is 2.0 the regulation term lambda/alpha is 7.964786732709094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3153353494301741 the lambda is 2.0 the regulation term lambda/alpha is 6.342454163842064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33618965815220064 the lambda is 2.0 the regulation term lambda/alpha is 5.949022974093257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28798078551738243 the lambda is 2.0 the regulation term lambda/alpha is 6.944907787534598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33046201466267217 the lambda is 2.0 the regulation term lambda/alpha is 6.052132805767564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2845369746210431 the lambda is 2.0 the regulation term lambda/alpha is 7.02896346832841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4746060342853899 the lambda is 2.0 the regulation term lambda/alpha is 4.2140214315045155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3080244128471303 the lambda is 2.0 the regulation term lambda/alpha is 6.49299184280105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31258555766560203 the lambda is 2.0 the regulation term lambda/alpha is 6.398248258608164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28868983618290545 the lambda is 2.0 the regulation term lambda/alpha is 6.92785041012964 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36561501125454726 the lambda is 2.0 the regulation term lambda/alpha is 5.470234914965148 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3058788006683065 the lambda is 2.0 the regulation term lambda/alpha is 6.538537471803384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3374698176547364 the lambda is 2.0 the regulation term lambda/alpha is 5.9264559239670715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4206744208412958 the lambda is 2.0 the regulation term lambda/alpha is 4.754270525886152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31489997159257066 the lambda is 2.0 the regulation term lambda/alpha is 6.351223183302394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2975956123191817 the lambda is 2.0 the regulation term lambda/alpha is 6.72052919199269 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3852579123972662 the lambda is 2.0 the regulation term lambda/alpha is 5.191327512405926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27402503726407385 the lambda is 2.0 the regulation term lambda/alpha is 7.298603149436413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37823961417510427 the lambda is 2.0 the regulation term lambda/alpha is 5.287653447832963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31148692802173966 the lambda is 2.0 the regulation term lambda/alpha is 6.4208151934402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35162369885599354 the lambda is 2.0 the regulation term lambda/alpha is 5.68789875798188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35404262388323854 the lambda is 2.0 the regulation term lambda/alpha is 5.649037333594019 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28067616172932003 the lambda is 2.0 the regulation term lambda/alpha is 7.125649672838161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2993253045092977 the lambda is 2.0 the regulation term lambda/alpha is 6.681693695355034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28163349236018337 the lambda is 2.0 the regulation term lambda/alpha is 7.101428112257983 480 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.37005684384718057 the lambda is 2.0 the regulation term lambda/alpha is 5.404575089620351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3189145899827843 the lambda is 2.0 the regulation term lambda/alpha is 6.271271565556045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3158979246124881 the lambda is 2.0 the regulation term lambda/alpha is 6.331159036430516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3603217229359359 the lambda is 2.0 the regulation term lambda/alpha is 5.550595128441906 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27447913336724494 the lambda is 2.0 the regulation term lambda/alpha is 7.2865283982227504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3025823622668602 the lambda is 2.0 the regulation term lambda/alpha is 6.609770592762163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3912844016682493 the lambda is 2.0 the regulation term lambda/alpha is 5.111371655688185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3567581166747998 the lambda is 2.0 the regulation term lambda/alpha is 5.60603923644738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32342583929627894 the lambda is 2.0 the regulation term lambda/alpha is 6.183797820086573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2968898819051063 the lambda is 2.0 the regulation term lambda/alpha is 6.736504414250304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2966099067447414 the lambda is 2.0 the regulation term lambda/alpha is 6.742863115901161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33586176810404006 the lambda is 2.0 the regulation term lambda/alpha is 5.954830796283009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3380990826696606 the lambda is 2.0 the regulation term lambda/alpha is 5.915425691805553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2908681992288139 the lambda is 2.0 the regulation term lambda/alpha is 6.875966521272005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3282905612234331 the lambda is 2.0 the regulation term lambda/alpha is 6.092164186952695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3791618266146822 the lambda is 2.0 the regulation term lambda/alpha is 5.27479260730662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3714483204813589 the lambda is 2.0 the regulation term lambda/alpha is 5.38432909700118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30985373899108765 the lambda is 2.0 the regulation term lambda/alpha is 6.454658273649318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29352576002184155 the lambda is 2.0 the regulation term lambda/alpha is 6.813712022587652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3315867986622953 the lambda is 2.0 the regulation term lambda/alpha is 6.031603212397188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2946782526864176 the lambda is 2.0 the regulation term lambda/alpha is 6.787063455708432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3204221555097129 the lambda is 2.0 the regulation term lambda/alpha is 6.24176563826709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3109106052067986 the lambda is 2.0 the regulation term lambda/alpha is 6.432717207152593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33430976172731314 the lambda is 2.0 the regulation term lambda/alpha is 5.982475622806798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2949191696739519 the lambda is 2.0 the regulation term lambda/alpha is 6.781519160694443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3373805057231661 the lambda is 2.0 the regulation term lambda/alpha is 5.928024785288212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32852660450852494 the lambda is 2.0 the regulation term lambda/alpha is 6.087787024104168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28537284397627505 the lambda is 2.0 the regulation term lambda/alpha is 7.008375331488351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35977017682000856 the lambda is 2.0 the regulation term lambda/alpha is 5.55910447518998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33172853934636537 the lambda is 2.0 the regulation term lambda/alpha is 6.02902603418078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32955492732459557 the lambda is 2.0 the regulation term lambda/alpha is 6.068791069933229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3585970198785316 the lambda is 2.0 the regulation term lambda/alpha is 5.577291190756311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.294734029806775 the lambda is 2.0 the regulation term lambda/alpha is 6.785779033765399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.370019189108027 the lambda is 2.0 the regulation term lambda/alpha is 5.405125082353771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2719876019760676 the lambda is 2.0 the regulation term lambda/alpha is 7.353276345941612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3268445289746738 the lambda is 2.0 the regulation term lambda/alpha is 6.119117264327756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32029594164830644 the lambda is 2.0 the regulation term lambda/alpha is 6.244225230290472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2849021220688429 the lambda is 2.0 the regulation term lambda/alpha is 7.019954732091206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3011162689517839 the lambda is 2.0 the regulation term lambda/alpha is 6.641952648265076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2896390362745017 the lambda is 2.0 the regulation term lambda/alpha is 6.905146577357499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28634987097294007 the lambda is 2.0 the regulation term lambda/alpha is 6.984462724584217 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3231981162401066 the lambda is 2.0 the regulation term lambda/alpha is 6.18815487932542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29623065515461944 the lambda is 2.0 the regulation term lambda/alpha is 6.751495718618614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28468421177146175 the lambda is 2.0 the regulation term lambda/alpha is 7.0253281260485085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2713796986825661 the lambda is 2.0 the regulation term lambda/alpha is 7.369748030929196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31568612314215133 the lambda is 2.0 the regulation term lambda/alpha is 6.335406764457028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30626423908672423 the lambda is 2.0 the regulation term lambda/alpha is 6.530308618348562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3268438649384645 the lambda is 2.0 the regulation term lambda/alpha is 6.11912969630482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3351891433142792 the lambda is 2.0 the regulation term lambda/alpha is 5.966780368315107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30104274699982025 the lambda is 2.0 the regulation term lambda/alpha is 6.643574774452859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33506879149426283 the lambda is 2.0 the regulation term lambda/alpha is 5.968923548746093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28505052085696586 the lambda is 2.0 the regulation term lambda/alpha is 7.016300107038115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30822251675231926 the lambda is 2.0 the regulation term lambda/alpha is 6.488818601163897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3780076044771037 the lambda is 2.0 the regulation term lambda/alpha is 5.290898850478396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.361390005047005 the lambda is 2.0 the regulation term lambda/alpha is 5.5341873656408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30222726496940006 the lambda is 2.0 the regulation term lambda/alpha is 6.6175366415154375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.315585441827726 the lambda is 2.0 the regulation term lambda/alpha is 6.337427951102301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3325795897997192 the lambda is 2.0 the regulation term lambda/alpha is 6.013598132117513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3247867783071363 the lambda is 2.0 the regulation term lambda/alpha is 6.157886138174903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30068356593310863 the lambda is 2.0 the regulation term lambda/alpha is 6.6515108459400425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31939339880488554 the lambda is 2.0 the regulation term lambda/alpha is 6.261870181048361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2799421187879754 the lambda is 2.0 the regulation term lambda/alpha is 7.144334009684246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33240457955080793 the lambda is 2.0 the regulation term lambda/alpha is 6.0167642777445565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3216381636295914 the lambda is 2.0 the regulation term lambda/alpha is 6.2181675751117105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3320888018916109 the lambda is 2.0 the regulation term lambda/alpha is 6.022485517752483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2719870404381415 the lambda is 2.0 the regulation term lambda/alpha is 7.353291527339751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2892190164396372 the lambda is 2.0 the regulation term lambda/alpha is 6.915174612722671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34258491944720026 the lambda is 2.0 the regulation term lambda/alpha is 5.837968592509056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4234695409286918 the lambda is 2.0 the regulation term lambda/alpha is 4.722889857943244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33645491847901576 the lambda is 2.0 the regulation term lambda/alpha is 5.944332777304123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29290724538647034 the lambda is 2.0 the regulation term lambda/alpha is 6.8281001289713465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3711900556996077 the lambda is 2.0 the regulation term lambda/alpha is 5.38807537887959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31912721795110155 the lambda is 2.0 the regulation term lambda/alpha is 6.267093144986622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3119082351310468 the lambda is 2.0 the regulation term lambda/alpha is 6.412142337824807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.282940948247896 the lambda is 2.0 the regulation term lambda/alpha is 7.068612770208571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.324034839523664 the lambda is 2.0 the regulation term lambda/alpha is 6.172175815847547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3584183381043121 the lambda is 2.0 the regulation term lambda/alpha is 5.580071629643935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32625548616273486 the lambda is 2.0 the regulation term lambda/alpha is 6.130165115453134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.300113896181189 the lambda is 2.0 the regulation term lambda/alpha is 6.664136600967427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31696082617584626 the lambda is 2.0 the regulation term lambda/alpha is 6.3099280252709296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31688831025968345 the lambda is 2.0 the regulation term lambda/alpha is 6.311371973175789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3334090099575771 the lambda is 2.0 the regulation term lambda/alpha is 5.998638129948796 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3567019266448161 the lambda is 2.0 the regulation term lambda/alpha is 5.606922336563348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34727527931424085 the lambda is 2.0 the regulation term lambda/alpha is 5.759119980982721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3119738818632752 the lambda is 2.0 the regulation term lambda/alpha is 6.410793070416434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2944397121790751 the lambda is 2.0 the regulation term lambda/alpha is 6.7925619991899095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3681592526829657 the lambda is 2.0 the regulation term lambda/alpha is 5.4324317137895415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32872851923788093 the lambda is 2.0 the regulation term lambda/alpha is 6.084047726180767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27609252176211885 the lambda is 2.0 the regulation term lambda/alpha is 7.243948467837165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32417601855345235 the lambda is 2.0 the regulation term lambda/alpha is 6.169487826164496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35218066448013957 the lambda is 2.0 the regulation term lambda/alpha is 5.678903476862471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3196507865036232 the lambda is 2.0 the regulation term lambda/alpha is 6.25682802747407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.289704377380167 the lambda is 2.0 the regulation term lambda/alpha is 6.903589162463648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29457360438844404 the lambda is 2.0 the regulation term lambda/alpha is 6.789474583617713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32877910004988553 the lambda is 2.0 the regulation term lambda/alpha is 6.083111729719257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3172311615230856 the lambda is 2.0 the regulation term lambda/alpha is 6.30455088459037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35080693275287866 the lambda is 2.0 the regulation term lambda/alpha is 5.701141606026566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32958695693919576 the lambda is 2.0 the regulation term lambda/alpha is 6.068201298296438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3043314787942073 the lambda is 2.0 the regulation term lambda/alpha is 6.571781558464495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2910377031278053 the lambda is 2.0 the regulation term lambda/alpha is 6.871961874718778 490 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27846753625212367 the lambda is 2.0 the regulation term lambda/alpha is 7.1821657451273095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2980699740146319 the lambda is 2.0 the regulation term lambda/alpha is 6.709833845598356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2994610197065509 the lambda is 2.0 the regulation term lambda/alpha is 6.67866556375133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2741639749800586 the lambda is 2.0 the regulation term lambda/alpha is 7.29490444594506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2779579748851022 the lambda is 2.0 the regulation term lambda/alpha is 7.195332318947596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27802663170903763 the lambda is 2.0 the regulation term lambda/alpha is 7.193555479581013 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3350819803415842 the lambda is 2.0 the regulation term lambda/alpha is 5.968688611548703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3119546245975035 the lambda is 2.0 the regulation term lambda/alpha is 6.411188814977438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30981862556329204 the lambda is 2.0 the regulation term lambda/alpha is 6.45538981513371 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.288473777359606 the lambda is 2.0 the regulation term lambda/alpha is 6.933039177099406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32678534270348747 the lambda is 2.0 the regulation term lambda/alpha is 6.1202255384346405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3245880774754085 the lambda is 2.0 the regulation term lambda/alpha is 6.161655768614989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3103401350992187 the lambda is 2.0 the regulation term lambda/alpha is 6.444541887437733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32396251824171185 the lambda is 2.0 the regulation term lambda/alpha is 6.173553690269128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3294541162026509 the lambda is 2.0 the regulation term lambda/alpha is 6.070648086150418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3243808469071527 the lambda is 2.0 the regulation term lambda/alpha is 6.1655921398234055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316005115206262 the lambda is 2.0 the regulation term lambda/alpha is 6.329011474053404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34451968649062753 the lambda is 2.0 the regulation term lambda/alpha is 5.805183501623815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3662258268760847 the lambda is 2.0 the regulation term lambda/alpha is 5.461111295890978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3258808810055812 the lambda is 2.0 the regulation term lambda/alpha is 6.137211835897015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3054085863248589 the lambda is 2.0 the regulation term lambda/alpha is 6.548604360037958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3766445772019476 the lambda is 2.0 the regulation term lambda/alpha is 5.310045918775167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.336213415352478 the lambda is 2.0 the regulation term lambda/alpha is 5.9486026097538325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3189161140616893 the lambda is 2.0 the regulation term lambda/alpha is 6.271241595566198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2863736760220821 the lambda is 2.0 the regulation term lambda/alpha is 6.983882135332094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2696062619760348 the lambda is 2.0 the regulation term lambda/alpha is 7.4182253236305735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35639221982189956 the lambda is 2.0 the regulation term lambda/alpha is 5.61179478328529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31606595642242946 the lambda is 2.0 the regulation term lambda/alpha is 6.327793168989556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3004498549017028 the lambda is 2.0 the regulation term lambda/alpha is 6.656684858957025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36794843085878276 the lambda is 2.0 the regulation term lambda/alpha is 5.435544310739546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27162779459136766 the lambda is 2.0 the regulation term lambda/alpha is 7.363016745060154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34325153750672516 the lambda is 2.0 the regulation term lambda/alpha is 5.826630856564816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3328752377531841 the lambda is 2.0 the regulation term lambda/alpha is 6.008257068021783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3300535052429528 the lambda is 2.0 the regulation term lambda/alpha is 6.059623570814064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2763439911328589 the lambda is 2.0 the regulation term lambda/alpha is 7.237356570704129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31410338613349653 the lambda is 2.0 the regulation term lambda/alpha is 6.367330274975079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2632315507172508 the lambda is 2.0 the regulation term lambda/alpha is 7.597873410502728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3010216115626485 the lambda is 2.0 the regulation term lambda/alpha is 6.6440412355036536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40938331707214304 the lambda is 2.0 the regulation term lambda/alpha is 4.885396928980261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27551308978204414 the lambda is 2.0 the regulation term lambda/alpha is 7.259183226401989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32641076931775465 the lambda is 2.0 the regulation term lambda/alpha is 6.127248816515114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2886719705255036 the lambda is 2.0 the regulation term lambda/alpha is 6.928279168771268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36241776256734304 the lambda is 2.0 the regulation term lambda/alpha is 5.518493315096188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28779772120220426 the lambda is 2.0 the regulation term lambda/alpha is 6.949325351310954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31357141214061424 the lambda is 2.0 the regulation term lambda/alpha is 6.378132452658483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3334254880756527 the lambda is 2.0 the regulation term lambda/alpha is 5.998341673106314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33372984010321927 the lambda is 2.0 the regulation term lambda/alpha is 5.992871357806722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046249908414121 the lambda is 2.0 the regulation term lambda/alpha is 6.565449520329082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2825748268248616 the lambda is 2.0 the regulation term lambda/alpha is 7.077771302111032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.286375352820922 the lambda is 2.0 the regulation term lambda/alpha is 6.983841242967065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.339212149886895 the lambda is 2.0 the regulation term lambda/alpha is 5.896015224298035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3495219803809495 the lambda is 2.0 the regulation term lambda/alpha is 5.722100789827778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3256003362533832 the lambda is 2.0 the regulation term lambda/alpha is 6.142499799028444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3021029919404116 the lambda is 2.0 the regulation term lambda/alpha is 6.62025883012271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3628986004607061 the lambda is 2.0 the regulation term lambda/alpha is 5.511181353306309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31367461843302274 the lambda is 2.0 the regulation term lambda/alpha is 6.376033897773113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2993760480249916 the lambda is 2.0 the regulation term lambda/alpha is 6.680561164442394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30941181667212353 the lambda is 2.0 the regulation term lambda/alpha is 6.463877241376832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28946953810525333 the lambda is 2.0 the regulation term lambda/alpha is 6.909189868789526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3592481749907059 the lambda is 2.0 the regulation term lambda/alpha is 5.567182074207453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3119322052380848 the lambda is 2.0 the regulation term lambda/alpha is 6.411649603392133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3011534448820454 the lambda is 2.0 the regulation term lambda/alpha is 6.641132731466354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3593388920075846 the lambda is 2.0 the regulation term lambda/alpha is 5.565776609445842 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.354588230341716 the lambda is 2.0 the regulation term lambda/alpha is 5.6403451351800475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3074245764888182 the lambda is 2.0 the regulation term lambda/alpha is 6.505660747239396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3064090046294409 the lambda is 2.0 the regulation term lambda/alpha is 6.527223318448889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3154508859303262 the lambda is 2.0 the regulation term lambda/alpha is 6.340131187463968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32971126593802924 the lambda is 2.0 the regulation term lambda/alpha is 6.06591344190195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3196675454837329 the lambda is 2.0 the regulation term lambda/alpha is 6.256500005258667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3432433389767861 the lambda is 2.0 the regulation term lambda/alpha is 5.82677002840618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29326884278882137 the lambda is 2.0 the regulation term lambda/alpha is 6.8196811532419455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30081056562328023 the lambda is 2.0 the regulation term lambda/alpha is 6.648702634018174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3079321421564648 the lambda is 2.0 the regulation term lambda/alpha is 6.494937443015516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3288092437011899 the lambda is 2.0 the regulation term lambda/alpha is 6.082554059269479 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3209186470299396 the lambda is 2.0 the regulation term lambda/alpha is 6.23210903607422 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3350935352818661 the lambda is 2.0 the regulation term lambda/alpha is 5.968482794864088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3062705604233803 the lambda is 2.0 the regulation term lambda/alpha is 6.530173834648858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29500867248024754 the lambda is 2.0 the regulation term lambda/alpha is 6.779461712719348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3072688344422083 the lambda is 2.0 the regulation term lambda/alpha is 6.508958201474102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28447529568695884 the lambda is 2.0 the regulation term lambda/alpha is 7.030487463490791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34304690575055824 the lambda is 2.0 the regulation term lambda/alpha is 5.830106514513417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3038910904082792 the lambda is 2.0 the regulation term lambda/alpha is 6.581305155452204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31798732281112113 the lambda is 2.0 the regulation term lambda/alpha is 6.289558911717889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35283048925876115 the lambda is 2.0 the regulation term lambda/alpha is 5.668444368857326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38411398527624585 the lambda is 2.0 the regulation term lambda/alpha is 5.206787767859185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3290875548125783 the lambda is 2.0 the regulation term lambda/alpha is 6.077410010655185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.291490137301679 the lambda is 2.0 the regulation term lambda/alpha is 6.861295611968138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2846393900142409 the lambda is 2.0 the regulation term lambda/alpha is 7.026434394410195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36086604231926694 the lambda is 2.0 the regulation term lambda/alpha is 5.542222779251009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30632471179983756 the lambda is 2.0 the regulation term lambda/alpha is 6.529019445570766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35673565583861316 the lambda is 2.0 the regulation term lambda/alpha is 5.6063922046098975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2994466871869057 the lambda is 2.0 the regulation term lambda/alpha is 6.67898522701525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3192746699279678 the lambda is 2.0 the regulation term lambda/alpha is 6.264198786741284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3438253353881136 the lambda is 2.0 the regulation term lambda/alpha is 5.816906999428588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33727209468911296 the lambda is 2.0 the regulation term lambda/alpha is 5.929930259553606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3500727054648691 the lambda is 2.0 the regulation term lambda/alpha is 5.7130989328178465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2947007294763717 the lambda is 2.0 the regulation term lambda/alpha is 6.786545807177428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2826590524625879 the lambda is 2.0 the regulation term lambda/alpha is 7.075662295530816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2825029125846797 the lambda is 2.0 the regulation term lambda/alpha is 7.079573027058629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.344018172396613 the lambda is 2.0 the regulation term lambda/alpha is 5.813646372419631 500 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.280357168626981 the lambda is 2.0 the regulation term lambda/alpha is 7.133757306063491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25707361235574483 the lambda is 2.0 the regulation term lambda/alpha is 7.779872783023527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3968099075570448 the lambda is 2.0 the regulation term lambda/alpha is 5.040196733778586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.317573679358522 the lambda is 2.0 the regulation term lambda/alpha is 6.297751136176867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31127131816431164 the lambda is 2.0 the regulation term lambda/alpha is 6.425262731544879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30435592023331215 the lambda is 2.0 the regulation term lambda/alpha is 6.5712538085897805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31925358266239506 the lambda is 2.0 the regulation term lambda/alpha is 6.264612548185447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30750493490004543 the lambda is 2.0 the regulation term lambda/alpha is 6.503960662127587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32796512001121564 the lambda is 2.0 the regulation term lambda/alpha is 6.098209467920261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2722569826263522 the lambda is 2.0 the regulation term lambda/alpha is 7.346000755267376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3406925290141944 the lambda is 2.0 the regulation term lambda/alpha is 5.870395825194844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3319904014026803 the lambda is 2.0 the regulation term lambda/alpha is 6.024270555865092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35370127010434355 the lambda is 2.0 the regulation term lambda/alpha is 5.654489166550039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3072864864663848 the lambda is 2.0 the regulation term lambda/alpha is 6.508584295387775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2521632248180745 the lambda is 2.0 the regulation term lambda/alpha is 7.931370648685662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28215043988442445 the lambda is 2.0 the regulation term lambda/alpha is 7.08841708990157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32383909856901133 the lambda is 2.0 the regulation term lambda/alpha is 6.175906519125245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3187821383959923 the lambda is 2.0 the regulation term lambda/alpha is 6.273877231840364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28700450761132495 the lambda is 2.0 the regulation term lambda/alpha is 6.968531667483405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28926644439432714 the lambda is 2.0 the regulation term lambda/alpha is 6.914040804793819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2881393220749222 the lambda is 2.0 the regulation term lambda/alpha is 6.941086643772829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3397931359533853 the lambda is 2.0 the regulation term lambda/alpha is 5.8859340827719695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38761860439752277 the lambda is 2.0 the regulation term lambda/alpha is 5.159711059557135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2818929082544718 the lambda is 2.0 the regulation term lambda/alpha is 7.0948929236437195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.312127018734951 the lambda is 2.0 the regulation term lambda/alpha is 6.407647784244979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3285418776248287 the lambda is 2.0 the regulation term lambda/alpha is 6.087504017627417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3122248741363417 the lambda is 2.0 the regulation term lambda/alpha is 6.405639542756751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31120979538060833 the lambda is 2.0 the regulation term lambda/alpha is 6.426532935937984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3311880856352827 the lambda is 2.0 the regulation term lambda/alpha is 6.0388645810238435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3581893824271106 the lambda is 2.0 the regulation term lambda/alpha is 5.583638427381325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3096985806628496 the lambda is 2.0 the regulation term lambda/alpha is 6.457892043674817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2971399236798751 the lambda is 2.0 the regulation term lambda/alpha is 6.730835679135155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280131629315039 the lambda is 2.0 the regulation term lambda/alpha is 6.097316284888367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3162065625083249 the lambda is 2.0 the regulation term lambda/alpha is 6.324979418943417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31427315379834775 the lambda is 2.0 the regulation term lambda/alpha is 6.363890697718625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3671198030183176 the lambda is 2.0 the regulation term lambda/alpha is 5.447812903463039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30035098599927645 the lambda is 2.0 the regulation term lambda/alpha is 6.658876092402167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3115250756417711 the lambda is 2.0 the regulation term lambda/alpha is 6.420028936289674 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3016026416595639 the lambda is 2.0 the regulation term lambda/alpha is 6.631241652908047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26262265005957014 the lambda is 2.0 the regulation term lambda/alpha is 7.615489370571595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32105698165001423 the lambda is 2.0 the regulation term lambda/alpha is 6.2294237917560995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34385996964988386 the lambda is 2.0 the regulation term lambda/alpha is 5.816321108957196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3102861998631007 the lambda is 2.0 the regulation term lambda/alpha is 6.4456621044777584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31030482782672636 the lambda is 2.0 the regulation term lambda/alpha is 6.445275163803756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32239427750414984 the lambda is 2.0 the regulation term lambda/alpha is 6.203584057022402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31267565097696104 the lambda is 2.0 the regulation term lambda/alpha is 6.396404688855566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32979855294148297 the lambda is 2.0 the regulation term lambda/alpha is 6.064307990929437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.342523098759869 the lambda is 2.0 the regulation term lambda/alpha is 5.839022265187815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33527764530646537 the lambda is 2.0 the regulation term lambda/alpha is 5.965205339508607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26926926004892826 the lambda is 2.0 the regulation term lambda/alpha is 7.427509548013705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2931315530296134 the lambda is 2.0 the regulation term lambda/alpha is 6.822875188048935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27959056422079787 the lambda is 2.0 the regulation term lambda/alpha is 7.153317228619214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.326146566801933 the lambda is 2.0 the regulation term lambda/alpha is 6.132212335120452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30558240747020166 the lambda is 2.0 the regulation term lambda/alpha is 6.544879388042084 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2825364502505363 the lambda is 2.0 the regulation term lambda/alpha is 7.0787326669763155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36939967387954503 the lambda is 2.0 the regulation term lambda/alpha is 5.4141899449867035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3536229819621461 the lambda is 2.0 the regulation term lambda/alpha is 5.65574100671458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2892919811123511 the lambda is 2.0 the regulation term lambda/alpha is 6.913430480547155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3983264981173924 the lambda is 2.0 the regulation term lambda/alpha is 5.021006660246268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30770103605898064 the lambda is 2.0 the regulation term lambda/alpha is 6.49981561848442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3058221425418238 the lambda is 2.0 the regulation term lambda/alpha is 6.539748833675386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2857882947457841 the lambda is 2.0 the regulation term lambda/alpha is 6.998187248288285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3281153608369096 the lambda is 2.0 the regulation term lambda/alpha is 6.0954171572421565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25168058661395626 the lambda is 2.0 the regulation term lambda/alpha is 7.946580333856769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.369266611820049 the lambda is 2.0 the regulation term lambda/alpha is 5.416140901941711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3150711324411172 the lambda is 2.0 the regulation term lambda/alpha is 6.347772912435178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28736521292733136 the lambda is 2.0 the regulation term lambda/alpha is 6.959784657392605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2893720777736911 the lambda is 2.0 the regulation term lambda/alpha is 6.911516879538522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28079022477180093 the lambda is 2.0 the regulation term lambda/alpha is 7.122755080328762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3432575774060762 the lambda is 2.0 the regulation term lambda/alpha is 5.826528332203386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27475615648330354 the lambda is 2.0 the regulation term lambda/alpha is 7.279181750096787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31573782220871605 the lambda is 2.0 the regulation term lambda/alpha is 6.3343694018321175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30483586796243145 the lambda is 2.0 the regulation term lambda/alpha is 6.560907721812066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2943283333467265 the lambda is 2.0 the regulation term lambda/alpha is 6.795132419833831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33134450969245577 the lambda is 2.0 the regulation term lambda/alpha is 6.036013700231041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35802608177820033 the lambda is 2.0 the regulation term lambda/alpha is 5.586185202113331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28627063547311365 the lambda is 2.0 the regulation term lambda/alpha is 6.986395921099769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29893476224478643 the lambda is 2.0 the regulation term lambda/alpha is 6.690422970488374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3706670894046235 the lambda is 2.0 the regulation term lambda/alpha is 5.395677299574827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3075337851947485 the lambda is 2.0 the regulation term lambda/alpha is 6.50335051393941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31378008800995594 the lambda is 2.0 the regulation term lambda/alpha is 6.373890748403837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2985652571157788 the lambda is 2.0 the regulation term lambda/alpha is 6.698703055139574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2856978622394192 the lambda is 2.0 the regulation term lambda/alpha is 7.000402398264953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34883847442852745 the lambda is 2.0 the regulation term lambda/alpha is 5.733312540356768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3158104077203161 the lambda is 2.0 the regulation term lambda/alpha is 6.332913517439279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2864172902445129 the lambda is 2.0 the regulation term lambda/alpha is 6.982818663959186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3528793353374524 the lambda is 2.0 the regulation term lambda/alpha is 5.667659734417247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3224410033662145 the lambda is 2.0 the regulation term lambda/alpha is 6.20268507764345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3793121555210991 the lambda is 2.0 the regulation term lambda/alpha is 5.272702102711156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2606519916758579 the lambda is 2.0 the regulation term lambda/alpha is 7.673066248759625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32233418096040495 the lambda is 2.0 the regulation term lambda/alpha is 6.204740663993301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30699948612653294 the lambda is 2.0 the regulation term lambda/alpha is 6.514668885066732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3002784509734281 the lambda is 2.0 the regulation term lambda/alpha is 6.6604846052605415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3422197527537318 the lambda is 2.0 the regulation term lambda/alpha is 5.8441980157680735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33148219538674917 the lambda is 2.0 the regulation term lambda/alpha is 6.033506558826022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30144413145743376 the lambda is 2.0 the regulation term lambda/alpha is 6.634728599061864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28701973287757443 the lambda is 2.0 the regulation term lambda/alpha is 6.968162014327709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30513023848641574 the lambda is 2.0 the regulation term lambda/alpha is 6.554578169377464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32222779099711774 the lambda is 2.0 the regulation term lambda/alpha is 6.206789283478933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37871118711922513 the lambda is 2.0 the regulation term lambda/alpha is 5.281069236991839 510 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077300522776979 the lambda is 2.0 the regulation term lambda/alpha is 6.499202743433017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3182650688415047 the lambda is 2.0 the regulation term lambda/alpha is 6.284070090632522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33886845184942554 the lambda is 2.0 the regulation term lambda/alpha is 5.901995270095812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29355441223105516 the lambda is 2.0 the regulation term lambda/alpha is 6.813046974152821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29338958784136443 the lambda is 2.0 the regulation term lambda/alpha is 6.816874500268219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37970578415516093 the lambda is 2.0 the regulation term lambda/alpha is 5.2672360639698095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3606742676034674 the lambda is 2.0 the regulation term lambda/alpha is 5.545169643759673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31503305771298074 the lambda is 2.0 the regulation term lambda/alpha is 6.348540100899993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35504317203290703 the lambda is 2.0 the regulation term lambda/alpha is 5.633117765787173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3923866871251131 the lambda is 2.0 the regulation term lambda/alpha is 5.097012884543397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3714868322343839 the lambda is 2.0 the regulation term lambda/alpha is 5.383770907761626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25651116776464555 the lambda is 2.0 the regulation term lambda/alpha is 7.796931484227004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3333642325418565 the lambda is 2.0 the regulation term lambda/alpha is 5.999443865798903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3143504165788571 the lambda is 2.0 the regulation term lambda/alpha is 6.36232654553612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33344319511830905 the lambda is 2.0 the regulation term lambda/alpha is 5.998023139414735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36500463021040047 the lambda is 2.0 the regulation term lambda/alpha is 5.4793825460436905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3502461484794828 the lambda is 2.0 the regulation term lambda/alpha is 5.710269787926472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27842489465812065 the lambda is 2.0 the regulation term lambda/alpha is 7.183265714999409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31656720208204636 the lambda is 2.0 the regulation term lambda/alpha is 6.317773878172161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29975735440322293 the lambda is 2.0 the regulation term lambda/alpha is 6.672063155820594 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.281423942800576 the lambda is 2.0 the regulation term lambda/alpha is 7.106715868227495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.302736085125191 the lambda is 2.0 the regulation term lambda/alpha is 6.606414293733555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3472497075203942 the lambda is 2.0 the regulation term lambda/alpha is 5.759544087974613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35699765972821024 the lambda is 2.0 the regulation term lambda/alpha is 5.602277621434946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26726477010426636 the lambda is 2.0 the regulation term lambda/alpha is 7.483215985480437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3354787707702934 the lambda is 2.0 the regulation term lambda/alpha is 5.961629093274058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34293465727840383 the lambda is 2.0 the regulation term lambda/alpha is 5.832014809679457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2869648489916875 the lambda is 2.0 the regulation term lambda/alpha is 6.969494720441993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28398069403098125 the lambda is 2.0 the regulation term lambda/alpha is 7.042732277363219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28237565322778624 the lambda is 2.0 the regulation term lambda/alpha is 7.0827636063462025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3070412892697214 the lambda is 2.0 the regulation term lambda/alpha is 6.513781924108238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.341287668366688 the lambda is 2.0 the regulation term lambda/alpha is 5.86015899599147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29892277350211716 the lambda is 2.0 the regulation term lambda/alpha is 6.69069129985787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29968815962753415 the lambda is 2.0 the regulation term lambda/alpha is 6.673603663507058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3492295800564695 the lambda is 2.0 the regulation term lambda/alpha is 5.726891747476275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3256601433753355 the lambda is 2.0 the regulation term lambda/alpha is 6.141371735794285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2572810765006942 the lambda is 2.0 the regulation term lambda/alpha is 7.773599314812427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3051458425486254 the lambda is 2.0 the regulation term lambda/alpha is 6.554242991795955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3553353951709832 the lambda is 2.0 the regulation term lambda/alpha is 5.628485164101436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3136189705912936 the lambda is 2.0 the regulation term lambda/alpha is 6.377165246825544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30688791940316473 the lambda is 2.0 the regulation term lambda/alpha is 6.517037242422568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33126660619676435 the lambda is 2.0 the regulation term lambda/alpha is 6.0374331809710045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28707806444866896 the lambda is 2.0 the regulation term lambda/alpha is 6.966746149138853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35131519045086773 the lambda is 2.0 the regulation term lambda/alpha is 5.692893601991016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31532380830663165 the lambda is 2.0 the regulation term lambda/alpha is 6.342686303138683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32260240044482086 the lambda is 2.0 the regulation term lambda/alpha is 6.1995818916483465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30493537821872835 the lambda is 2.0 the regulation term lambda/alpha is 6.558766685856345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3386194970521863 the lambda is 2.0 the regulation term lambda/alpha is 5.9063344473982555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2704966838755075 the lambda is 2.0 the regulation term lambda/alpha is 7.393805984403392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2993596242764682 the lambda is 2.0 the regulation term lambda/alpha is 6.680927679655745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3005590227658439 the lambda is 2.0 the regulation term lambda/alpha is 6.6542670441077965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29952289844770713 the lambda is 2.0 the regulation term lambda/alpha is 6.677285811419104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31738057929805463 the lambda is 2.0 the regulation term lambda/alpha is 6.3015828013905795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3020032882723198 the lambda is 2.0 the regulation term lambda/alpha is 6.622444449004069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40408627028012595 the lambda is 2.0 the regulation term lambda/alpha is 4.949438145011792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30325716446967527 the lambda is 2.0 the regulation term lambda/alpha is 6.595062654158641 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2993317528411948 the lambda is 2.0 the regulation term lambda/alpha is 6.681549755468358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35627174192559585 the lambda is 2.0 the regulation term lambda/alpha is 5.613692484254567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31633548590155375 the lambda is 2.0 the regulation term lambda/alpha is 6.32240165626697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3082692323264915 the lambda is 2.0 the regulation term lambda/alpha is 6.487835276021893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3114595741610685 the lambda is 2.0 the regulation term lambda/alpha is 6.42137909995895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2945476384560407 the lambda is 2.0 the regulation term lambda/alpha is 6.790073111716653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28315502040319446 the lambda is 2.0 the regulation term lambda/alpha is 7.063268725209707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33948362975161117 the lambda is 2.0 the regulation term lambda/alpha is 5.891300271130402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4195520420985715 the lambda is 2.0 the regulation term lambda/alpha is 4.766989072430997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3173586682790257 the lambda is 2.0 the regulation term lambda/alpha is 6.302017874115778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2682381062331625 the lambda is 2.0 the regulation term lambda/alpha is 7.45606218328102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29842759401629615 the lambda is 2.0 the regulation term lambda/alpha is 6.701793132074732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.313429247465901 the lambda is 2.0 the regulation term lambda/alpha is 6.381025434512415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34135385812364727 the lambda is 2.0 the regulation term lambda/alpha is 5.859022689808146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31226529888622 the lambda is 2.0 the regulation term lambda/alpha is 6.404810291548723 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3451445687360147 the lambda is 2.0 the regulation term lambda/alpha is 5.794673250471193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32796049187649645 the lambda is 2.0 the regulation term lambda/alpha is 6.098295525038916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32965257916774743 the lambda is 2.0 the regulation term lambda/alpha is 6.066993332948496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32237262749522827 the lambda is 2.0 the regulation term lambda/alpha is 6.204000679398885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3060725544408749 the lambda is 2.0 the regulation term lambda/alpha is 6.534398367254934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37517719796815785 the lambda is 2.0 the regulation term lambda/alpha is 5.330814374731123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3124784867745467 the lambda is 2.0 the regulation term lambda/alpha is 6.400440621190669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31911448496124317 the lambda is 2.0 the regulation term lambda/alpha is 6.2673432083250695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29842993457352035 the lambda is 2.0 the regulation term lambda/alpha is 6.7017405705568915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32838971435270586 the lambda is 2.0 the regulation term lambda/alpha is 6.090324734872502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33781599792086564 the lambda is 2.0 the regulation term lambda/alpha is 5.920382729975108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33363830586691035 the lambda is 2.0 the regulation term lambda/alpha is 5.994515512249987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29340735841432236 the lambda is 2.0 the regulation term lambda/alpha is 6.816461627986124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31063356013166055 the lambda is 2.0 the regulation term lambda/alpha is 6.438454361313406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2943502521650425 the lambda is 2.0 the regulation term lambda/alpha is 6.794626419679769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3336766693696783 the lambda is 2.0 the regulation term lambda/alpha is 5.993826310296248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2921564571949151 the lambda is 2.0 the regulation term lambda/alpha is 6.845647086505022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33496275879760756 the lambda is 2.0 the regulation term lambda/alpha is 5.970813015689447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23101564695036356 the lambda is 2.0 the regulation term lambda/alpha is 8.657422241315643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.42087331710821074 the lambda is 2.0 the regulation term lambda/alpha is 4.752023753232567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2801085251978407 the lambda is 2.0 the regulation term lambda/alpha is 7.14008971553936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3782503428226812 the lambda is 2.0 the regulation term lambda/alpha is 5.287503469461688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3666009529903634 the lambda is 2.0 the regulation term lambda/alpha is 5.455523188595128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2998513494807213 the lambda is 2.0 the regulation term lambda/alpha is 6.669971649164075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34418244847698054 the lambda is 2.0 the regulation term lambda/alpha is 5.810871556205351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3035665468758207 the lambda is 2.0 the regulation term lambda/alpha is 6.588341240440225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3186759448506626 the lambda is 2.0 the regulation term lambda/alpha is 6.2759678987921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32973809868526194 the lambda is 2.0 the regulation term lambda/alpha is 6.065419822502884 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27606183180468113 the lambda is 2.0 the regulation term lambda/alpha is 7.244753781881144 520 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3477324327369374 the lambda is 2.0 the regulation term lambda/alpha is 5.751548638297473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3254137561356599 the lambda is 2.0 the regulation term lambda/alpha is 6.146021679446862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32149668702098894 the lambda is 2.0 the regulation term lambda/alpha is 6.2209039182709525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38633700212791583 the lambda is 2.0 the regulation term lambda/alpha is 5.176827456298897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2824275058932409 the lambda is 2.0 the regulation term lambda/alpha is 7.0814632366438515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.334650114904865 the lambda is 2.0 the regulation term lambda/alpha is 5.976391194631933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3055940507489104 the lambda is 2.0 the regulation term lambda/alpha is 6.544630025023912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.322853882689822 the lambda is 2.0 the regulation term lambda/alpha is 6.194752819254387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29063704348617164 the lambda is 2.0 the regulation term lambda/alpha is 6.881435263757625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25797357393304005 the lambda is 2.0 the regulation term lambda/alpha is 7.7527320706078315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3247265537441905 the lambda is 2.0 the regulation term lambda/alpha is 6.159028194459077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3322441844344971 the lambda is 2.0 the regulation term lambda/alpha is 6.019668947416311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34572496556604443 the lambda is 2.0 the regulation term lambda/alpha is 5.784945257642774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28537944669399584 the lambda is 2.0 the regulation term lambda/alpha is 7.008213181324661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31997779739646 the lambda is 2.0 the regulation term lambda/alpha is 6.250433674690101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27947187146813557 the lambda is 2.0 the regulation term lambda/alpha is 7.156355269292399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32479876507298133 the lambda is 2.0 the regulation term lambda/alpha is 6.157658880108753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2987080782246332 the lambda is 2.0 the regulation term lambda/alpha is 6.695500208387295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.41354377885672927 the lambda is 2.0 the regulation term lambda/alpha is 4.83624733886492 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2704564717226346 the lambda is 2.0 the regulation term lambda/alpha is 7.394905314194482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2909691124252047 the lambda is 2.0 the regulation term lambda/alpha is 6.873581815369189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3216404592830532 the lambda is 2.0 the regulation term lambda/alpha is 6.218123194010056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3454008007974186 the lambda is 2.0 the regulation term lambda/alpha is 5.7903745312189425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2836600907275367 the lambda is 2.0 the regulation term lambda/alpha is 7.050692238271386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29858702357113404 the lambda is 2.0 the regulation term lambda/alpha is 6.6982147317715865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28433933178362364 the lambda is 2.0 the regulation term lambda/alpha is 7.0338492654331715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3138514356178571 the lambda is 2.0 the regulation term lambda/alpha is 6.372441776672908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38533143125423586 the lambda is 2.0 the regulation term lambda/alpha is 5.19033703918233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30469790396012936 the lambda is 2.0 the regulation term lambda/alpha is 6.563878431739084 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3348759527316401 the lambda is 2.0 the regulation term lambda/alpha is 5.972360761307761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3962372556493563 the lambda is 2.0 the regulation term lambda/alpha is 5.047480951084184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3483746777965489 the lambda is 2.0 the regulation term lambda/alpha is 5.740945388596819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31666636537918885 the lambda is 2.0 the regulation term lambda/alpha is 6.3157954827476575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3542201483675088 the lambda is 2.0 the regulation term lambda/alpha is 5.6462062059919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3662624969196301 the lambda is 2.0 the regulation term lambda/alpha is 5.460564531778598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33033104305023897 the lambda is 2.0 the regulation term lambda/alpha is 6.054532391301252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31736057696552017 the lambda is 2.0 the regulation term lambda/alpha is 6.301979972191981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3210586736053883 the lambda is 2.0 the regulation term lambda/alpha is 6.229390963155197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2949315141744682 the lambda is 2.0 the regulation term lambda/alpha is 6.781235316945106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3544140107718634 the lambda is 2.0 the regulation term lambda/alpha is 5.643117764007929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31869858535522194 the lambda is 2.0 the regulation term lambda/alpha is 6.275522050939752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37054282983284653 the lambda is 2.0 the regulation term lambda/alpha is 5.397486711326215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3820858584438758 the lambda is 2.0 the regulation term lambda/alpha is 5.234425603044866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.326901274506295 the lambda is 2.0 the regulation term lambda/alpha is 6.118055070358824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3480043453943855 the lambda is 2.0 the regulation term lambda/alpha is 5.747054674657711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3505735402614921 the lambda is 2.0 the regulation term lambda/alpha is 5.704937111078617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30142996760128715 the lambda is 2.0 the regulation term lambda/alpha is 6.6350403575183865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.42584986860500157 the lambda is 2.0 the regulation term lambda/alpha is 4.696490823283796 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38342067739265695 the lambda is 2.0 the regulation term lambda/alpha is 5.2162027713279056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3470436572637503 the lambda is 2.0 the regulation term lambda/alpha is 5.76296370251774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30468793622528273 the lambda is 2.0 the regulation term lambda/alpha is 6.564093166200132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35290535180637334 the lambda is 2.0 the regulation term lambda/alpha is 5.66724190994227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3958623459465336 the lambda is 2.0 the regulation term lambda/alpha is 5.052261273342038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32281726431203017 the lambda is 2.0 the regulation term lambda/alpha is 6.195455513391722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28162285709428636 the lambda is 2.0 the regulation term lambda/alpha is 7.101696292110292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3317827777776845 the lambda is 2.0 the regulation term lambda/alpha is 6.028040434757367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34212800243164415 the lambda is 2.0 the regulation term lambda/alpha is 5.845765286048435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191939620438026 the lambda is 2.0 the regulation term lambda/alpha is 6.26578268333767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3554014265535731 the lambda is 2.0 the regulation term lambda/alpha is 5.62743942643832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32081018806696887 the lambda is 2.0 the regulation term lambda/alpha is 6.234215976901898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3447356338324526 the lambda is 2.0 the regulation term lambda/alpha is 5.8015470514778125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3030069291156905 the lambda is 2.0 the regulation term lambda/alpha is 6.600509123130923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3273464776002106 the lambda is 2.0 the regulation term lambda/alpha is 6.109734293345924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28786447640897356 the lambda is 2.0 the regulation term lambda/alpha is 6.94771381640911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2930572531570975 the lambda is 2.0 the regulation term lambda/alpha is 6.824605016439813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35688630280585104 the lambda is 2.0 the regulation term lambda/alpha is 5.60402566384851 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23973009525855724 the lambda is 2.0 the regulation term lambda/alpha is 8.342715577044803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31075427233745245 the lambda is 2.0 the regulation term lambda/alpha is 6.435953349752089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3565790190995793 the lambda is 2.0 the regulation term lambda/alpha is 5.608854960256297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3521179882479735 the lambda is 2.0 the regulation term lambda/alpha is 5.679914309267073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32184885271016395 the lambda is 2.0 the regulation term lambda/alpha is 6.214097030822941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3341895088171489 the lambda is 2.0 the regulation term lambda/alpha is 5.98462832384812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29531900687434476 the lambda is 2.0 the regulation term lambda/alpha is 6.772337551747828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2749883943196037 the lambda is 2.0 the regulation term lambda/alpha is 7.273034212765762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.310682730590959 the lambda is 2.0 the regulation term lambda/alpha is 6.437435374009168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3318377710064072 the lambda is 2.0 the regulation term lambda/alpha is 6.027041448399144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29476815720855926 the lambda is 2.0 the regulation term lambda/alpha is 6.784993395962125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3528637062274508 the lambda is 2.0 the regulation term lambda/alpha is 5.667910767538188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3823423638409747 the lambda is 2.0 the regulation term lambda/alpha is 5.230913937728982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.306037761165393 the lambda is 2.0 the regulation term lambda/alpha is 6.535141259640615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30714591289587007 the lambda is 2.0 the regulation term lambda/alpha is 6.511563123674215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046992274867191 the lambda is 2.0 the regulation term lambda/alpha is 6.563849920122209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33667094264881864 the lambda is 2.0 the regulation term lambda/alpha is 5.940518609252832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35862488886065597 the lambda is 2.0 the regulation term lambda/alpha is 5.576857775694151 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3488001515438107 the lambda is 2.0 the regulation term lambda/alpha is 5.733942462891367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33456257750539603 the lambda is 2.0 the regulation term lambda/alpha is 5.977954901330059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37132596519730215 the lambda is 2.0 the regulation term lambda/alpha is 5.386103282428176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30272975694289334 the lambda is 2.0 the regulation term lambda/alpha is 6.606552392460309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3207706437377515 the lambda is 2.0 the regulation term lambda/alpha is 6.23498452568844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36758801501608224 the lambda is 2.0 the regulation term lambda/alpha is 5.440873799741536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.296121877336043 the lambda is 2.0 the regulation term lambda/alpha is 6.7539758223617286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3306478985998577 the lambda is 2.0 the regulation term lambda/alpha is 6.048730412227276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2866112385765336 the lambda is 2.0 the regulation term lambda/alpha is 6.978093426946835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3377032395181308 the lambda is 2.0 the regulation term lambda/alpha is 5.92235953333999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2923233552937278 the lambda is 2.0 the regulation term lambda/alpha is 6.841738656120689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3439168511185335 the lambda is 2.0 the regulation term lambda/alpha is 5.81535912967139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3635465734471183 the lambda is 2.0 the regulation term lambda/alpha is 5.501358412035538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087215251206177 the lambda is 2.0 the regulation term lambda/alpha is 6.478330266147133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2732667120012552 the lambda is 2.0 the regulation term lambda/alpha is 7.3188570439227645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2978090941547685 the lambda is 2.0 the regulation term lambda/alpha is 6.715711639620445 530 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3543940348794951 the lambda is 2.0 the regulation term lambda/alpha is 5.643435845865921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3252032725257549 the lambda is 2.0 the regulation term lambda/alpha is 6.149999612447342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3185651144640995 the lambda is 2.0 the regulation term lambda/alpha is 6.278151339215106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.320269165862577 the lambda is 2.0 the regulation term lambda/alpha is 6.244747272543158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34233217507620933 the lambda is 2.0 the regulation term lambda/alpha is 5.842278773693311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29852492544160997 the lambda is 2.0 the regulation term lambda/alpha is 6.699608071390978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3425237722311449 the lambda is 2.0 the regulation term lambda/alpha is 5.839010784484595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32463874986253166 the lambda is 2.0 the regulation term lambda/alpha is 6.160694004788093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3411726311569393 the lambda is 2.0 the regulation term lambda/alpha is 5.862134935085108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3193456090234962 the lambda is 2.0 the regulation term lambda/alpha is 6.2628072642540955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30527210463693605 the lambda is 2.0 the regulation term lambda/alpha is 6.55153212370526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.330789348121807 the lambda is 2.0 the regulation term lambda/alpha is 6.046143902020501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3027309687382078 the lambda is 2.0 the regulation term lambda/alpha is 6.606525947233158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32872050088099364 the lambda is 2.0 the regulation term lambda/alpha is 6.084196132093562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30091106771808906 the lambda is 2.0 the regulation term lambda/alpha is 6.646482015987913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34608586401423386 the lambda is 2.0 the regulation term lambda/alpha is 5.778912714902865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.294232889910347 the lambda is 2.0 the regulation term lambda/alpha is 6.797336628850029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3453829745812659 the lambda is 2.0 the regulation term lambda/alpha is 5.790673389227575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2844705272607457 the lambda is 2.0 the regulation term lambda/alpha is 7.030605311765039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2733697675155012 the lambda is 2.0 the regulation term lambda/alpha is 7.316097965685221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30690462936446017 the lambda is 2.0 the regulation term lambda/alpha is 6.5166824108896995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2641103540301332 the lambda is 2.0 the regulation term lambda/alpha is 7.572592173996379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046228291911208 the lambda is 2.0 the regulation term lambda/alpha is 6.56549610976529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2869314640586439 the lambda is 2.0 the regulation term lambda/alpha is 6.970305632258002 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30638064036902574 the lambda is 2.0 the regulation term lambda/alpha is 6.527827598999282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35945774043779166 the lambda is 2.0 the regulation term lambda/alpha is 5.563936382519278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35109779250788015 the lambda is 2.0 the regulation term lambda/alpha is 5.696418612358867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3771245552305295 the lambda is 2.0 the regulation term lambda/alpha is 5.303287659901741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3861919824072633 the lambda is 2.0 the regulation term lambda/alpha is 5.1787714170898465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2968899480158575 the lambda is 2.0 the regulation term lambda/alpha is 6.736502914181439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.310614304753036 the lambda is 2.0 the regulation term lambda/alpha is 6.438853489346426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31025878891136893 the lambda is 2.0 the regulation term lambda/alpha is 6.446231570159762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.278779694380774 the lambda is 2.0 the regulation term lambda/alpha is 7.1741236550330685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3565494275942481 the lambda is 2.0 the regulation term lambda/alpha is 5.609320462227728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40540548732347664 the lambda is 2.0 the regulation term lambda/alpha is 4.9333323364816275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2947246379834826 the lambda is 2.0 the regulation term lambda/alpha is 6.785995272346682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28877761420472997 the lambda is 2.0 the regulation term lambda/alpha is 6.92574459245339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2730873149904787 the lambda is 2.0 the regulation term lambda/alpha is 7.323664960672855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26664623730449527 the lambda is 2.0 the regulation term lambda/alpha is 7.500574619832758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30224572228053953 the lambda is 2.0 the regulation term lambda/alpha is 6.617132526837328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28940849790636974 the lambda is 2.0 the regulation term lambda/alpha is 6.910647111153749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2747163555241107 the lambda is 2.0 the regulation term lambda/alpha is 7.280236359369103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27624591739406035 the lambda is 2.0 the regulation term lambda/alpha is 7.239926000958893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3460055276690521 the lambda is 2.0 the regulation term lambda/alpha is 5.780254475913931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2977348081068727 the lambda is 2.0 the regulation term lambda/alpha is 6.717387237041142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31109455147820936 the lambda is 2.0 the regulation term lambda/alpha is 6.4289136228735595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27141245338750186 the lambda is 2.0 the regulation term lambda/alpha is 7.368858632085513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2852559374217649 the lambda is 2.0 the regulation term lambda/alpha is 7.011247576743343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27647650146318914 the lambda is 2.0 the regulation term lambda/alpha is 7.233887832837344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280948571210393 the lambda is 2.0 the regulation term lambda/alpha is 6.09579807970647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2946291669924494 the lambda is 2.0 the regulation term lambda/alpha is 6.788194191416409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30452097967544395 the lambda is 2.0 the regulation term lambda/alpha is 6.56769199327936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32525527184141995 the lambda is 2.0 the regulation term lambda/alpha is 6.149016397726864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33860193962629453 the lambda is 2.0 the regulation term lambda/alpha is 5.9066407068055895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.275421502098078 the lambda is 2.0 the regulation term lambda/alpha is 7.261597169300882 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3563758654760115 the lambda is 2.0 the regulation term lambda/alpha is 5.612052312601468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27410066958547696 the lambda is 2.0 the regulation term lambda/alpha is 7.296589253228036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3408177328544685 the lambda is 2.0 the regulation term lambda/alpha is 5.868239258706687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35946523420231347 the lambda is 2.0 the regulation term lambda/alpha is 5.563820391249197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3421305839875554 the lambda is 2.0 the regulation term lambda/alpha is 5.8457211766626145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29112166511432747 the lambda is 2.0 the regulation term lambda/alpha is 6.869979941941362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2909693120173644 the lambda is 2.0 the regulation term lambda/alpha is 6.873577100394162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34447100517481405 the lambda is 2.0 the regulation term lambda/alpha is 5.806003901504073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3695375361761681 the lambda is 2.0 the regulation term lambda/alpha is 5.41217008885005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31890070059101466 the lambda is 2.0 the regulation term lambda/alpha is 6.271544704334061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29983043817001254 the lambda is 2.0 the regulation term lambda/alpha is 6.670436838257036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2942995568638419 the lambda is 2.0 the regulation term lambda/alpha is 6.79579684493138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3224372126672935 the lambda is 2.0 the regulation term lambda/alpha is 6.2027579988532455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3690805869822383 the lambda is 2.0 the regulation term lambda/alpha is 5.418870757611124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2815499862711152 the lambda is 2.0 the regulation term lambda/alpha is 7.1035343545501854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31088437624385895 the lambda is 2.0 the regulation term lambda/alpha is 6.4332599282222915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33327896516664723 the lambda is 2.0 the regulation term lambda/alpha is 6.000978786644856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32845310194319016 the lambda is 2.0 the regulation term lambda/alpha is 6.089149373738975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3129606213599139 the lambda is 2.0 the regulation term lambda/alpha is 6.390580358990089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29662423775274743 the lambda is 2.0 the regulation term lambda/alpha is 6.742537343381594 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26855311966486495 the lambda is 2.0 the regulation term lambda/alpha is 7.4473162050616155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31174871944543353 the lambda is 2.0 the regulation term lambda/alpha is 6.415423304890486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.354417361915555 the lambda is 2.0 the regulation term lambda/alpha is 5.643064406298833 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30973095663852385 the lambda is 2.0 the regulation term lambda/alpha is 6.457217004414996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3270939220355874 the lambda is 2.0 the regulation term lambda/alpha is 6.1144517377562355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3243586248339366 the lambda is 2.0 the regulation term lambda/alpha is 6.16601454955591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2989503584045086 the lambda is 2.0 the regulation term lambda/alpha is 6.6900739329230285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29992912130310606 the lambda is 2.0 the regulation term lambda/alpha is 6.668242121040375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3124587744452955 the lambda is 2.0 the regulation term lambda/alpha is 6.4008444107565134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30606014344968185 the lambda is 2.0 the regulation term lambda/alpha is 6.53466334249697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3838117568466756 the lambda is 2.0 the regulation term lambda/alpha is 5.210887796746039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33048970836937974 the lambda is 2.0 the regulation term lambda/alpha is 6.051625661409862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35606914477963264 the lambda is 2.0 the regulation term lambda/alpha is 5.616886577571271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3139886309669433 the lambda is 2.0 the regulation term lambda/alpha is 6.369657378488204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3193948768333994 the lambda is 2.0 the regulation term lambda/alpha is 6.261841203681005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32478973298516206 the lambda is 2.0 the regulation term lambda/alpha is 6.157830118636692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3247495752471792 the lambda is 2.0 the regulation term lambda/alpha is 6.158591580844177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2700626881982611 the lambda is 2.0 the regulation term lambda/alpha is 7.405687965794593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2929424131674738 the lambda is 2.0 the regulation term lambda/alpha is 6.827280414518226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2746311692953616 the lambda is 2.0 the regulation term lambda/alpha is 7.282494573108819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28725235387026615 the lambda is 2.0 the regulation term lambda/alpha is 6.962519098810499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2882928993987815 the lambda is 2.0 the regulation term lambda/alpha is 6.937389037922497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.305770283406251 the lambda is 2.0 the regulation term lambda/alpha is 6.540857985675377 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36742229842679036 the lambda is 2.0 the regulation term lambda/alpha is 5.443327769064359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3012673611950812 the lambda is 2.0 the regulation term lambda/alpha is 6.638621562144364 540 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2900300912771384 the lambda is 2.0 the regulation term lambda/alpha is 6.895836191317469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38754569090709207 the lambda is 2.0 the regulation term lambda/alpha is 5.160681816171885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28373743098521387 the lambda is 2.0 the regulation term lambda/alpha is 7.048770382728334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33042755032221655 the lambda is 2.0 the regulation term lambda/alpha is 6.05276405690052 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2738310939746523 the lambda is 2.0 the regulation term lambda/alpha is 7.303772449541958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33018840396445165 the lambda is 2.0 the regulation term lambda/alpha is 6.057147907033469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2920277072315452 the lambda is 2.0 the regulation term lambda/alpha is 6.848665213860082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30595340016461403 the lambda is 2.0 the regulation term lambda/alpha is 6.536943204173993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2776347166978792 the lambda is 2.0 the regulation term lambda/alpha is 7.203710053942536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3478902069944634 the lambda is 2.0 the regulation term lambda/alpha is 5.748940210989698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29078062442602537 the lambda is 2.0 the regulation term lambda/alpha is 6.878037365618218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33499486567357134 the lambda is 2.0 the regulation term lambda/alpha is 5.970240755716112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3390666813616552 the lambda is 2.0 the regulation term lambda/alpha is 5.898544769920229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31105257577233786 the lambda is 2.0 the regulation term lambda/alpha is 6.429781187421569 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3359973792042611 the lambda is 2.0 the regulation term lambda/alpha is 5.952427381239039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28570655831560915 the lambda is 2.0 the regulation term lambda/alpha is 7.000189326388077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3046617177701418 the lambda is 2.0 the regulation term lambda/alpha is 6.564658056280443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30920968692385503 the lambda is 2.0 the regulation term lambda/alpha is 6.468102664883567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3258953235836808 the lambda is 2.0 the regulation term lambda/alpha is 6.136939855433231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3608903981741284 the lambda is 2.0 the regulation term lambda/alpha is 5.541848744435165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32354101106781713 the lambda is 2.0 the regulation term lambda/alpha is 6.181596556798736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3440394088878175 the lambda is 2.0 the regulation term lambda/alpha is 5.8132875139666025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3236597079973735 the lambda is 2.0 the regulation term lambda/alpha is 6.1793295568821005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3096621182425131 the lambda is 2.0 the regulation term lambda/alpha is 6.45865245432989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33044634282936675 the lambda is 2.0 the regulation term lambda/alpha is 6.05241983577571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2918438719026526 the lambda is 2.0 the regulation term lambda/alpha is 6.852979255521664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35377549689801885 the lambda is 2.0 the regulation term lambda/alpha is 5.65330277969062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3508945935211726 the lambda is 2.0 the regulation term lambda/alpha is 5.699717342265982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25800104260870577 the lambda is 2.0 the regulation term lambda/alpha is 7.751906658118728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2976831046919871 the lambda is 2.0 the regulation term lambda/alpha is 6.718553953773767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3335278670706158 the lambda is 2.0 the regulation term lambda/alpha is 5.996500435079244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2868045314530226 the lambda is 2.0 the regulation term lambda/alpha is 6.973390517463256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33414792727614223 the lambda is 2.0 the regulation term lambda/alpha is 5.98537305409405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33480960745742205 the lambda is 2.0 the regulation term lambda/alpha is 5.973544233656262 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2636768159060682 the lambda is 2.0 the regulation term lambda/alpha is 7.585043050248593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280602711233189 the lambda is 2.0 the regulation term lambda/alpha is 6.096440733746127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2796586531831139 the lambda is 2.0 the regulation term lambda/alpha is 7.151575598450899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3625154681617141 the lambda is 2.0 the regulation term lambda/alpha is 5.517005964302252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35420963547136847 the lambda is 2.0 the regulation term lambda/alpha is 5.646373784661384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30971572881439113 the lambda is 2.0 the regulation term lambda/alpha is 6.457534487047559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3349834625546422 the lambda is 2.0 the regulation term lambda/alpha is 5.970443987734953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27633187225222455 the lambda is 2.0 the regulation term lambda/alpha is 7.237673974048426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32905271565144306 the lambda is 2.0 the regulation term lambda/alpha is 6.078053469458516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3143067067040342 the lambda is 2.0 the regulation term lambda/alpha is 6.363211338927275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3098387704704586 the lambda is 2.0 the regulation term lambda/alpha is 6.454970102557546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31153682796804133 the lambda is 2.0 the regulation term lambda/alpha is 6.4197867489527365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36028134868099176 the lambda is 2.0 the regulation term lambda/alpha is 5.551217145495045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27149369705232135 the lambda is 2.0 the regulation term lambda/alpha is 7.366653523505434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2704932049890772 the lambda is 2.0 the regulation term lambda/alpha is 7.393901078146352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29495442689583856 the lambda is 2.0 the regulation term lambda/alpha is 6.78070853537753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34381109228870144 the lambda is 2.0 the regulation term lambda/alpha is 5.817147977065792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32023948459787965 the lambda is 2.0 the regulation term lambda/alpha is 6.245326064371396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32605301641603723 the lambda is 2.0 the regulation term lambda/alpha is 6.133971775461323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2932688684665106 the lambda is 2.0 the regulation term lambda/alpha is 6.819680556132356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36032067723655775 the lambda is 2.0 the regulation term lambda/alpha is 5.550611237020294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32966081190466096 the lambda is 2.0 the regulation term lambda/alpha is 6.066841819762328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3321680932475461 the lambda is 2.0 the regulation term lambda/alpha is 6.021047899111469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2940067786253589 the lambda is 2.0 the regulation term lambda/alpha is 6.802564244780629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30145114420531294 the lambda is 2.0 the regulation term lambda/alpha is 6.634574253391575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3202160180630911 the lambda is 2.0 the regulation term lambda/alpha is 6.245783743416442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3369666815418126 the lambda is 2.0 the regulation term lambda/alpha is 5.935304911598002 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2745127165664238 the lambda is 2.0 the regulation term lambda/alpha is 7.285636982562374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3898847071364708 the lambda is 2.0 the regulation term lambda/alpha is 5.129721590490449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262635587849583 the lambda is 2.0 the regulation term lambda/alpha is 6.1300134389762135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.24534785609915702 the lambda is 2.0 the regulation term lambda/alpha is 8.151691365062112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31781523089621877 the lambda is 2.0 the regulation term lambda/alpha is 6.292964608272948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3413050258522725 the lambda is 2.0 the regulation term lambda/alpha is 5.8598609704202325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2930655159837459 the lambda is 2.0 the regulation term lambda/alpha is 6.824412600324238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31048932740528945 the lambda is 2.0 the regulation term lambda/alpha is 6.441445239724295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3351129653746435 the lambda is 2.0 the regulation term lambda/alpha is 5.968136737902922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3212545558058714 the lambda is 2.0 the regulation term lambda/alpha is 6.225592645629485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.292314151625166 the lambda is 2.0 the regulation term lambda/alpha is 6.841954071948583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34152976910671 the lambda is 2.0 the regulation term lambda/alpha is 5.8560048959454125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2839844355654924 the lambda is 2.0 the regulation term lambda/alpha is 7.042639488384076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3845294834798366 the lambda is 2.0 the regulation term lambda/alpha is 5.201161642797341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26620798657644595 the lambda is 2.0 the regulation term lambda/alpha is 7.512922605068678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2924520511970375 the lambda is 2.0 the regulation term lambda/alpha is 6.838727893388972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280089727531282 the lambda is 2.0 the regulation term lambda/alpha is 6.097394175571151 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3161271143819957 the lambda is 2.0 the regulation term lambda/alpha is 6.326568993962593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32035170781177325 the lambda is 2.0 the regulation term lambda/alpha is 6.243138248462611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191894611040834 the lambda is 2.0 the regulation term lambda/alpha is 6.265871038103688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2819796185088862 the lambda is 2.0 the regulation term lambda/alpha is 7.092711205781608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3405753318557904 the lambda is 2.0 the regulation term lambda/alpha is 5.872415917800114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.34949803450105926 the lambda is 2.0 the regulation term lambda/alpha is 5.722492839924507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28810047548860795 the lambda is 2.0 the regulation term lambda/alpha is 6.942022558651014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3027210407609618 the lambda is 2.0 the regulation term lambda/alpha is 6.6067426135049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4140227668102734 the lambda is 2.0 the regulation term lambda/alpha is 4.830652225742222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34264409000530666 the lambda is 2.0 the regulation term lambda/alpha is 5.836960444784047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2879619271276256 the lambda is 2.0 the regulation term lambda/alpha is 6.945362603833368 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3922730940840629 the lambda is 2.0 the regulation term lambda/alpha is 5.098488859323617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3073944233646078 the lambda is 2.0 the regulation term lambda/alpha is 6.506298904543732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33082861991055457 the lambda is 2.0 the regulation term lambda/alpha is 6.045426180300652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28626451574952366 the lambda is 2.0 the regulation term lambda/alpha is 6.986545275314403 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3424968407343974 the lambda is 2.0 the regulation term lambda/alpha is 5.839469922442229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34285790072110656 the lambda is 2.0 the regulation term lambda/alpha is 5.833320439148564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31747136805072396 the lambda is 2.0 the regulation term lambda/alpha is 6.299780708666774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27148089760726657 the lambda is 2.0 the regulation term lambda/alpha is 7.3670008373600835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3058015984765798 the lambda is 2.0 the regulation term lambda/alpha is 6.540188180714081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28056853499267626 the lambda is 2.0 the regulation term lambda/alpha is 7.128383088475001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33099399738230956 the lambda is 2.0 the regulation term lambda/alpha is 6.042405650305285 550 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3375200906729178 the lambda is 2.0 the regulation term lambda/alpha is 5.925573188880627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30923457573878405 the lambda is 2.0 the regulation term lambda/alpha is 6.467582078174323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33106803776691657 the lambda is 2.0 the regulation term lambda/alpha is 6.041054320707545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31629476841537796 the lambda is 2.0 the regulation term lambda/alpha is 6.323215556235428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3943070668133042 the lambda is 2.0 the regulation term lambda/alpha is 5.072189083912504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32021892028344306 the lambda is 2.0 the regulation term lambda/alpha is 6.245727136390604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3506118170244353 the lambda is 2.0 the regulation term lambda/alpha is 5.704314295432357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3059213749566386 the lambda is 2.0 the regulation term lambda/alpha is 6.537627520415926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3324612144684567 the lambda is 2.0 the regulation term lambda/alpha is 6.015739319239466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3205681974727399 the lambda is 2.0 the regulation term lambda/alpha is 6.2389220632844395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32408434878771425 the lambda is 2.0 the regulation term lambda/alpha is 6.1712329135340775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4034174411175194 the lambda is 2.0 the regulation term lambda/alpha is 4.957643860066478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38444237180147794 the lambda is 2.0 the regulation term lambda/alpha is 5.202340185937619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31928575313753854 the lambda is 2.0 the regulation term lambda/alpha is 6.263981340684691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3308128993235404 the lambda is 2.0 the regulation term lambda/alpha is 6.045713465495695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38930317043831336 the lambda is 2.0 the regulation term lambda/alpha is 5.137384310916903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31259066253415746 the lambda is 2.0 the regulation term lambda/alpha is 6.398143769830155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2553326511069062 the lambda is 2.0 the regulation term lambda/alpha is 7.8329191011399955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31856810666631197 the lambda is 2.0 the regulation term lambda/alpha is 6.278092370668243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33681774476060705 the lambda is 2.0 the regulation term lambda/alpha is 5.937929432493227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3831674516930466 the lambda is 2.0 the regulation term lambda/alpha is 5.219650028108831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3066761295475165 the lambda is 2.0 the regulation term lambda/alpha is 6.521537893904193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2968682608268986 the lambda is 2.0 the regulation term lambda/alpha is 6.736995037560392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2875251177099405 the lambda is 2.0 the regulation term lambda/alpha is 6.955914029109724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31220404839309224 the lambda is 2.0 the regulation term lambda/alpha is 6.406066834475589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2863500993193381 the lambda is 2.0 the regulation term lambda/alpha is 6.984457154909511 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2849051406449244 the lambda is 2.0 the regulation term lambda/alpha is 7.019880355520114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34075034496417134 the lambda is 2.0 the regulation term lambda/alpha is 5.869399780681932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2860208012993053 the lambda is 2.0 the regulation term lambda/alpha is 6.992498415900556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31887388792228216 the lambda is 2.0 the regulation term lambda/alpha is 6.272072050275411 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28543821069645886 the lambda is 2.0 the regulation term lambda/alpha is 7.00677037990139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34382158294631987 the lambda is 2.0 the regulation term lambda/alpha is 5.8169704846954176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28848532989331044 the lambda is 2.0 the regulation term lambda/alpha is 6.932761540212992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3061762161226739 the lambda is 2.0 the regulation term lambda/alpha is 6.532186024529976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.35114442541704627 the lambda is 2.0 the regulation term lambda/alpha is 5.695662112888864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35193263975770556 the lambda is 2.0 the regulation term lambda/alpha is 5.682905687227352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28531335631950766 the lambda is 2.0 the regulation term lambda/alpha is 7.0098365733719925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3469268897438458 the lambda is 2.0 the regulation term lambda/alpha is 5.7649033820258335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2654426209878555 the lambda is 2.0 the regulation term lambda/alpha is 7.534585035955865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3493253867050003 the lambda is 2.0 the regulation term lambda/alpha is 5.725321079194762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29787247829494246 the lambda is 2.0 the regulation term lambda/alpha is 6.7142826065980925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.378218873900188 the lambda is 2.0 the regulation term lambda/alpha is 5.287943405298701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33103495856112625 the lambda is 2.0 the regulation term lambda/alpha is 6.041657982870398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3397897798162079 the lambda is 2.0 the regulation term lambda/alpha is 5.885992218723585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29894108217649545 the lambda is 2.0 the regulation term lambda/alpha is 6.690281527847001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31088640944873425 the lambda is 2.0 the regulation term lambda/alpha is 6.433217854541833 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2801501557578618 the lambda is 2.0 the regulation term lambda/alpha is 7.139028691915601 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31979587746346033 the lambda is 2.0 the regulation term lambda/alpha is 6.253989313006446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30803175257364634 the lambda is 2.0 the regulation term lambda/alpha is 6.492837128931461 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3303711495830553 the lambda is 2.0 the regulation term lambda/alpha is 6.053797380685628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3192056457192476 the lambda is 2.0 the regulation term lambda/alpha is 6.265553340992813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3525526759778097 the lambda is 2.0 the regulation term lambda/alpha is 5.672911131515233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149189169877561 the lambda is 2.0 the regulation term lambda/alpha is 6.350841096274185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3159286368488426 the lambda is 2.0 the regulation term lambda/alpha is 6.330543568156845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.374487845124948 the lambda is 2.0 the regulation term lambda/alpha is 5.340627275453224 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3473157697606942 the lambda is 2.0 the regulation term lambda/alpha is 5.758448576573502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3124016963365529 the lambda is 2.0 the regulation term lambda/alpha is 6.402013892541043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3170445387419274 the lambda is 2.0 the regulation term lambda/alpha is 6.308261949366015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3215873995558896 the lambda is 2.0 the regulation term lambda/alpha is 6.2191491419190825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3211978432810397 the lambda is 2.0 the regulation term lambda/alpha is 6.226691871807036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3404799234547868 the lambda is 2.0 the regulation term lambda/alpha is 5.874061470956555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33841813457293846 the lambda is 2.0 the regulation term lambda/alpha is 5.909848780780821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.323298272986716 the lambda is 2.0 the regulation term lambda/alpha is 6.186237809201591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33199790531366885 the lambda is 2.0 the regulation term lambda/alpha is 6.024134393590275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3811878537112937 the lambda is 2.0 the regulation term lambda/alpha is 5.246756895655893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3572097812271647 the lambda is 2.0 the regulation term lambda/alpha is 5.5989508269599035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28139621858430225 the lambda is 2.0 the regulation term lambda/alpha is 7.107416048666016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3546949196634495 the lambda is 2.0 the regulation term lambda/alpha is 5.638648565639705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33191905620794043 the lambda is 2.0 the regulation term lambda/alpha is 6.0255654581852065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3749127213348482 the lambda is 2.0 the regulation term lambda/alpha is 5.334574918874858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4069207442533892 the lambda is 2.0 the regulation term lambda/alpha is 4.914962012245318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2606818517838753 the lambda is 2.0 the regulation term lambda/alpha is 7.672187328399635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33775568340726875 the lambda is 2.0 the regulation term lambda/alpha is 5.921439958682746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36683030498568375 the lambda is 2.0 the regulation term lambda/alpha is 5.45211225140751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3249690960859004 the lambda is 2.0 the regulation term lambda/alpha is 6.1544313723645026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3254392172501412 the lambda is 2.0 the regulation term lambda/alpha is 6.145540838314969 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3049880131999675 the lambda is 2.0 the regulation term lambda/alpha is 6.557634770677647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.327555043195596 the lambda is 2.0 the regulation term lambda/alpha is 6.105844014759136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3150407091248665 the lambda is 2.0 the regulation term lambda/alpha is 6.3483859135401435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31101840800268715 the lambda is 2.0 the regulation term lambda/alpha is 6.430487548449931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3734836300700126 the lambda is 2.0 the regulation term lambda/alpha is 5.354987043542131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3245372566169809 the lambda is 2.0 the regulation term lambda/alpha is 6.162620652088648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3390973107569137 the lambda is 2.0 the regulation term lambda/alpha is 5.898011976372547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31997886087921346 the lambda is 2.0 the regulation term lambda/alpha is 6.250412900728982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3285468755377392 the lambda is 2.0 the regulation term lambda/alpha is 6.087411413444612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3158010609030958 the lambda is 2.0 the regulation term lambda/alpha is 6.333100953747917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3377803520212627 the lambda is 2.0 the regulation term lambda/alpha is 5.921007506896385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29544320572751537 the lambda is 2.0 the regulation term lambda/alpha is 6.769490586439757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32567857528927435 the lambda is 2.0 the regulation term lambda/alpha is 6.141024162315741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30870146407407706 the lambda is 2.0 the regulation term lambda/alpha is 6.478751262158164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3579191705802619 the lambda is 2.0 the regulation term lambda/alpha is 5.5878538072089885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.302374020433899 the lambda is 2.0 the regulation term lambda/alpha is 6.614324858762837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3507996053947636 the lambda is 2.0 the regulation term lambda/alpha is 5.701260689131476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32048768298728125 the lambda is 2.0 the regulation term lambda/alpha is 6.240489435843221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2629323856315238 the lambda is 2.0 the regulation term lambda/alpha is 7.60651828870872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35714453653163136 the lambda is 2.0 the regulation term lambda/alpha is 5.599973667307844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2713157975381237 the lambda is 2.0 the regulation term lambda/alpha is 7.371483777014392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3275559101922136 the lambda is 2.0 the regulation term lambda/alpha is 6.105827853407917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3154925661732504 the lambda is 2.0 the regulation term lambda/alpha is 6.339293582282743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32645595810517175 the lambda is 2.0 the regulation term lambda/alpha is 6.126400668587816 560 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3303676733541383 the lambda is 2.0 the regulation term lambda/alpha is 6.053861080578837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2991842292110628 the lambda is 2.0 the regulation term lambda/alpha is 6.684844335792439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.282531617697316 the lambda is 2.0 the regulation term lambda/alpha is 7.07885374493787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.379019293123725 the lambda is 2.0 the regulation term lambda/alpha is 5.276776238794606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3236963307902982 the lambda is 2.0 the regulation term lambda/alpha is 6.178630431543786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30542604784726535 the lambda is 2.0 the regulation term lambda/alpha is 6.548229969567434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32101559604792945 the lambda is 2.0 the regulation term lambda/alpha is 6.230226894338768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29268097460700043 the lambda is 2.0 the regulation term lambda/alpha is 6.833378912604466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033473692713084 the lambda is 2.0 the regulation term lambda/alpha is 6.593101515283741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33704942730592036 the lambda is 2.0 the regulation term lambda/alpha is 5.933847791958167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.306259953773703 the lambda is 2.0 the regulation term lambda/alpha is 6.530399993065401 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3166933132704945 the lambda is 2.0 the regulation term lambda/alpha is 6.315258062590534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2880418374099636 the lambda is 2.0 the regulation term lambda/alpha is 6.9434357799677695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30319926770681416 the lambda is 2.0 the regulation term lambda/alpha is 6.596322000137376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38089364302140677 the lambda is 2.0 the regulation term lambda/alpha is 5.250809606942159 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29850357070233613 the lambda is 2.0 the regulation term lambda/alpha is 6.700087356725035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33983690712003045 the lambda is 2.0 the regulation term lambda/alpha is 5.885175971465629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33716393892172597 the lambda is 2.0 the regulation term lambda/alpha is 5.931832468193784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33635572116086965 the lambda is 2.0 the regulation term lambda/alpha is 5.946085867359026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31403637710740556 the lambda is 2.0 the regulation term lambda/alpha is 6.36868893477257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2796722250787606 the lambda is 2.0 the regulation term lambda/alpha is 7.151228547764315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29216301591335736 the lambda is 2.0 the regulation term lambda/alpha is 6.8454934097240825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2785669360184728 the lambda is 2.0 the regulation term lambda/alpha is 7.179602965756756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2931259809100918 the lambda is 2.0 the regulation term lambda/alpha is 6.823004886125888 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31285887883807945 the lambda is 2.0 the regulation term lambda/alpha is 6.392658592358834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2870156415634717 the lambda is 2.0 the regulation term lambda/alpha is 6.968261343198303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2572165787601891 the lambda is 2.0 the regulation term lambda/alpha is 7.7755485654937555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38486392232478644 the lambda is 2.0 the regulation term lambda/alpha is 5.196641940140601 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3105652348220218 the lambda is 2.0 the regulation term lambda/alpha is 6.439870841133125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29236046264561183 the lambda is 2.0 the regulation term lambda/alpha is 6.840870280138814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3474245937063014 the lambda is 2.0 the regulation term lambda/alpha is 5.75664485540341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33133595080223477 the lambda is 2.0 the regulation term lambda/alpha is 6.0361696192567535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3133624987347673 the lambda is 2.0 the regulation term lambda/alpha is 6.382384644222592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3131309173609219 the lambda is 2.0 the regulation term lambda/alpha is 6.3871048469313365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2871927896693824 the lambda is 2.0 the regulation term lambda/alpha is 6.963963135364258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30824718695324826 the lambda is 2.0 the regulation term lambda/alpha is 6.488299276201794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3254689345195254 the lambda is 2.0 the regulation term lambda/alpha is 6.144979713509391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3074966218916874 the lambda is 2.0 the regulation term lambda/alpha is 6.504136493260338 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25654965754100395 the lambda is 2.0 the regulation term lambda/alpha is 7.795761721803674 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.254283322774874 the lambda is 2.0 the regulation term lambda/alpha is 7.865242510499482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3351737792291179 the lambda is 2.0 the regulation term lambda/alpha is 5.967053880526977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3092599453868699 the lambda is 2.0 the regulation term lambda/alpha is 6.467051520358035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2671124319989671 the lambda is 2.0 the regulation term lambda/alpha is 7.4874837724053735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3430793873914823 the lambda is 2.0 the regulation term lambda/alpha is 5.829554538984391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3447501548441603 the lambda is 2.0 the regulation term lambda/alpha is 5.801302688041064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32018800175941187 the lambda is 2.0 the regulation term lambda/alpha is 6.246330246636765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3125158957197868 the lambda is 2.0 the regulation term lambda/alpha is 6.3996744722171615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31218768596045 the lambda is 2.0 the regulation term lambda/alpha is 6.406402590310283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35489844935485343 the lambda is 2.0 the regulation term lambda/alpha is 5.63541487328465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168489197790188 the lambda is 2.0 the regulation term lambda/alpha is 6.3121565994129565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2914893189180186 the lambda is 2.0 the regulation term lambda/alpha is 6.861314875700471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29639857537624437 the lambda is 2.0 the regulation term lambda/alpha is 6.7476707587451354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3271909994154603 the lambda is 2.0 the regulation term lambda/alpha is 6.112637583469836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31497217367454716 the lambda is 2.0 the regulation term lambda/alpha is 6.349767272033846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29143936127178394 the lambda is 2.0 the regulation term lambda/alpha is 6.862491021365111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33059193155995 the lambda is 2.0 the regulation term lambda/alpha is 6.049754422507185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3242688563592555 the lambda is 2.0 the regulation term lambda/alpha is 6.1677215087970465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3244677587082939 the lambda is 2.0 the regulation term lambda/alpha is 6.163940626834542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2925602485851151 the lambda is 2.0 the regulation term lambda/alpha is 6.836198730594585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3449388534117773 the lambda is 2.0 the regulation term lambda/alpha is 5.798129089309814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3840980593527847 the lambda is 2.0 the regulation term lambda/alpha is 5.207003657790025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2922985581438948 the lambda is 2.0 the regulation term lambda/alpha is 6.842319075058269 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3159858623038199 the lambda is 2.0 the regulation term lambda/alpha is 6.32939709839614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29030849270470516 the lambda is 2.0 the regulation term lambda/alpha is 6.88922318932761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34123177908063124 the lambda is 2.0 the regulation term lambda/alpha is 5.861118813108584 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29219186190745516 the lambda is 2.0 the regulation term lambda/alpha is 6.844817603556161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3265443210893035 the lambda is 2.0 the regulation term lambda/alpha is 6.124742862862524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.322124848702437 the lambda is 2.0 the regulation term lambda/alpha is 6.208772803638943 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3242720620289254 the lambda is 2.0 the regulation term lambda/alpha is 6.167660536298677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29354825681661184 the lambda is 2.0 the regulation term lambda/alpha is 6.8131898369591015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3625712381803265 the lambda is 2.0 the regulation term lambda/alpha is 5.5161573489326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31367830212996783 the lambda is 2.0 the regulation term lambda/alpha is 6.375959020497792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.310536600285102 the lambda is 2.0 the regulation term lambda/alpha is 6.440464660731813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33024787251294907 the lambda is 2.0 the regulation term lambda/alpha is 6.056057181478375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3555894416774104 the lambda is 2.0 the regulation term lambda/alpha is 5.624463962049789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33863460734809164 the lambda is 2.0 the regulation term lambda/alpha is 5.906070899434523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29419300669003556 the lambda is 2.0 the regulation term lambda/alpha is 6.798258131632674 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37963940816738984 the lambda is 2.0 the regulation term lambda/alpha is 5.268156985215202 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031160907369576 the lambda is 2.0 the regulation term lambda/alpha is 6.598132072558261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31331870860570504 the lambda is 2.0 the regulation term lambda/alpha is 6.383276660688953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30451833195327144 the lambda is 2.0 the regulation term lambda/alpha is 6.567749097965312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28415257197442967 the lambda is 2.0 the regulation term lambda/alpha is 7.038472276013662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36260192957053083 the lambda is 2.0 the regulation term lambda/alpha is 5.515690449769032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3056254784050911 the lambda is 2.0 the regulation term lambda/alpha is 6.5439570366875675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4130228341192556 the lambda is 2.0 the regulation term lambda/alpha is 4.84234728635493 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39014149671326637 the lambda is 2.0 the regulation term lambda/alpha is 5.126345228202925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31633921083379407 the lambda is 2.0 the regulation term lambda/alpha is 6.322327209227339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34259946641108163 the lambda is 2.0 the regulation term lambda/alpha is 5.837720709115817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3331757680269838 the lambda is 2.0 the regulation term lambda/alpha is 6.002837516796902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3154435728018062 the lambda is 2.0 the regulation term lambda/alpha is 6.340278174748559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29482911447178634 the lambda is 2.0 the regulation term lambda/alpha is 6.783590567651995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37609133001408657 the lambda is 2.0 the regulation term lambda/alpha is 5.317857234106114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3609052331754594 the lambda is 2.0 the regulation term lambda/alpha is 5.541620946869647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32151858887888124 the lambda is 2.0 the regulation term lambda/alpha is 6.220480150071251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.41408350071290667 the lambda is 2.0 the regulation term lambda/alpha is 4.829943710765343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.322025758477711 the lambda is 2.0 the regulation term lambda/alpha is 6.21068329892135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24177322882399224 the lambda is 2.0 the regulation term lambda/alpha is 8.272214461990636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114684110121447 the lambda is 2.0 the regulation term lambda/alpha is 6.421196915285308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2706382975110591 the lambda is 2.0 the regulation term lambda/alpha is 7.389937116783237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33391240391696375 the lambda is 2.0 the regulation term lambda/alpha is 5.989594805520772 570 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3001238882219007 the lambda is 2.0 the regulation term lambda/alpha is 6.663914731510051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28718108406347215 the lambda is 2.0 the regulation term lambda/alpha is 6.964246989045993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29621023222250975 the lambda is 2.0 the regulation term lambda/alpha is 6.751961216848251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3519088705821216 the lambda is 2.0 the regulation term lambda/alpha is 5.683289530870973 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.25638504905274717 the lambda is 2.0 the regulation term lambda/alpha is 7.800766883206718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28859616732127447 the lambda is 2.0 the regulation term lambda/alpha is 6.930098963419484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29776552992633304 the lambda is 2.0 the regulation term lambda/alpha is 6.716694173750731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25081603294181354 the lambda is 2.0 the regulation term lambda/alpha is 7.973971904993718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29246757045630223 the lambda is 2.0 the regulation term lambda/alpha is 6.838365008741444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3288743924527519 the lambda is 2.0 the regulation term lambda/alpha is 6.081349128717378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3129070343568923 the lambda is 2.0 the regulation term lambda/alpha is 6.391674780052597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3477345803715227 the lambda is 2.0 the regulation term lambda/alpha is 5.75151311630607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2931956227240087 the lambda is 2.0 the regulation term lambda/alpha is 6.821384239704844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31871294251371657 the lambda is 2.0 the regulation term lambda/alpha is 6.275239355596377 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3167353795704958 the lambda is 2.0 the regulation term lambda/alpha is 6.314419319723832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2693296732623897 the lambda is 2.0 the regulation term lambda/alpha is 7.425843486809324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30899311034667987 the lambda is 2.0 the regulation term lambda/alpha is 6.472636227248133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30222225220279 the lambda is 2.0 the regulation term lambda/alpha is 6.6176464023503065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3535606103023134 the lambda is 2.0 the regulation term lambda/alpha is 5.65673873650657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3176596032773787 the lambda is 2.0 the regulation term lambda/alpha is 6.2960476540468715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3319558939679549 the lambda is 2.0 the regulation term lambda/alpha is 6.0248967900328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39084286582609323 the lambda is 2.0 the regulation term lambda/alpha is 5.117145980834933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2966283540294897 the lambda is 2.0 the regulation term lambda/alpha is 6.742443777984781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3951295344416577 the lambda is 2.0 the regulation term lambda/alpha is 5.0616312517010975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2823502805777485 the lambda is 2.0 the regulation term lambda/alpha is 7.0834000798850845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28683326167889034 the lambda is 2.0 the regulation term lambda/alpha is 6.972692038202315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.39309475976152325 the lambda is 2.0 the regulation term lambda/alpha is 5.08783175133988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2839084688250461 the lambda is 2.0 the regulation term lambda/alpha is 7.044523920955901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3079872125360004 the lambda is 2.0 the regulation term lambda/alpha is 6.493776100415927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2937716217452166 the lambda is 2.0 the regulation term lambda/alpha is 6.808009528349093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34733304585965824 the lambda is 2.0 the regulation term lambda/alpha is 5.758162155431967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34907794592360664 the lambda is 2.0 the regulation term lambda/alpha is 5.729379421860373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3003224991111288 the lambda is 2.0 the regulation term lambda/alpha is 6.6595077156038744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26036141650694966 the lambda is 2.0 the regulation term lambda/alpha is 7.6816297392767305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3760597640448742 the lambda is 2.0 the regulation term lambda/alpha is 5.318303608150287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3184641460932122 the lambda is 2.0 the regulation term lambda/alpha is 6.28014181356106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.347747600979256 the lambda is 2.0 the regulation term lambda/alpha is 5.751297764148501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3428125515563933 the lambda is 2.0 the regulation term lambda/alpha is 5.834092103453792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3440373400625883 the lambda is 2.0 the regulation term lambda/alpha is 5.813322471439158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37430645413764324 the lambda is 2.0 the regulation term lambda/alpha is 5.343215373103192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2822077970335222 the lambda is 2.0 the regulation term lambda/alpha is 7.086976408955946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29534994252020563 the lambda is 2.0 the regulation term lambda/alpha is 6.771628201224976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2949797356410264 the lambda is 2.0 the regulation term lambda/alpha is 6.780126762449494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35953259605826493 the lambda is 2.0 the regulation term lambda/alpha is 5.56277795651075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3410309264721473 the lambda is 2.0 the regulation term lambda/alpha is 5.864570761043117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35661708613350834 the lambda is 2.0 the regulation term lambda/alpha is 5.6082562439289605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34053847879853116 the lambda is 2.0 the regulation term lambda/alpha is 5.873051430359025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32096497179257544 the lambda is 2.0 the regulation term lambda/alpha is 6.231209557946734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34385280623726966 the lambda is 2.0 the regulation term lambda/alpha is 5.816442279141775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37632271605195033 the lambda is 2.0 the regulation term lambda/alpha is 5.314587492836615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996958689876364 the lambda is 2.0 the regulation term lambda/alpha is 6.673431992092316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3213278644508541 the lambda is 2.0 the regulation term lambda/alpha is 6.224172321370196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2953429156699324 the lambda is 2.0 the regulation term lambda/alpha is 6.7717893129867655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089392456511045 the lambda is 2.0 the regulation term lambda/alpha is 6.47376475521879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37460139127967745 the lambda is 2.0 the regulation term lambda/alpha is 5.339008467554782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29666636769494314 the lambda is 2.0 the regulation term lambda/alpha is 6.7415798276687875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36522051803444494 the lambda is 2.0 the regulation term lambda/alpha is 5.476143593365624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34122946556894723 the lambda is 2.0 the regulation term lambda/alpha is 5.861158551080312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2779260160488156 the lambda is 2.0 the regulation term lambda/alpha is 7.196159713413497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32162864044747097 the lambda is 2.0 the regulation term lambda/alpha is 6.2183516903764176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3193140457526921 the lambda is 2.0 the regulation term lambda/alpha is 6.263426324656557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.354206535449554 the lambda is 2.0 the regulation term lambda/alpha is 5.64642320182384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3472429541642895 the lambda is 2.0 the regulation term lambda/alpha is 5.759656102492864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3084390174657825 the lambda is 2.0 the regulation term lambda/alpha is 6.484263944401507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35059032163457937 the lambda is 2.0 the regulation term lambda/alpha is 5.704664038286265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3584071246894336 the lambda is 2.0 the regulation term lambda/alpha is 5.580246212273367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28212368892903794 the lambda is 2.0 the regulation term lambda/alpha is 7.0890892132884895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30712801453225735 the lambda is 2.0 the regulation term lambda/alpha is 6.511942595161543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36668717198876377 the lambda is 2.0 the regulation term lambda/alpha is 5.454240433753939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3154195178135903 the lambda is 2.0 the regulation term lambda/alpha is 6.340761706388695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35735034587241293 the lambda is 2.0 the regulation term lambda/alpha is 5.596748465759349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31578926084924597 the lambda is 2.0 the regulation term lambda/alpha is 6.333337601859666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3390865478597065 the lambda is 2.0 the regulation term lambda/alpha is 5.898199184319984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2848523568953816 the lambda is 2.0 the regulation term lambda/alpha is 7.021181154328819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30438650095071973 the lambda is 2.0 the regulation term lambda/alpha is 6.570593616186024 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2948391718260743 the lambda is 2.0 the regulation term lambda/alpha is 6.783359170401552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2953942697122366 the lambda is 2.0 the regulation term lambda/alpha is 6.770612043179898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28245758647138547 the lambda is 2.0 the regulation term lambda/alpha is 7.080709089761379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35301480619750336 the lambda is 2.0 the regulation term lambda/alpha is 5.6654847470648235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3046468415839824 the lambda is 2.0 the regulation term lambda/alpha is 6.564978614585955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33903209640685766 the lambda is 2.0 the regulation term lambda/alpha is 5.899146485528871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31157160516705407 the lambda is 2.0 the regulation term lambda/alpha is 6.419070181082991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4385345471411399 the lambda is 2.0 the regulation term lambda/alpha is 4.560644111252451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3145471280987867 the lambda is 2.0 the regulation term lambda/alpha is 6.358347673013501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3306725574940199 the lambda is 2.0 the regulation term lambda/alpha is 6.048279346665074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2804288174191549 the lambda is 2.0 the regulation term lambda/alpha is 7.1319346506768415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3468331255960781 the lambda is 2.0 the regulation term lambda/alpha is 5.766461887291586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3255050796002395 the lambda is 2.0 the regulation term lambda/alpha is 6.144297356146477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3279171580633521 the lambda is 2.0 the regulation term lambda/alpha is 6.099101406622977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.281839410224061 the lambda is 2.0 the regulation term lambda/alpha is 7.096239657931477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29264879586841047 the lambda is 2.0 the regulation term lambda/alpha is 6.834130289397466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3743868889320541 the lambda is 2.0 the regulation term lambda/alpha is 5.342067415087743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33661082302598255 the lambda is 2.0 the regulation term lambda/alpha is 5.941579602286355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27970194252271496 the lambda is 2.0 the regulation term lambda/alpha is 7.150468752420543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28950199596782167 the lambda is 2.0 the regulation term lambda/alpha is 6.908415236702897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30524030713677475 the lambda is 2.0 the regulation term lambda/alpha is 6.552214610057454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3487151378465502 the lambda is 2.0 the regulation term lambda/alpha is 5.7353403478574725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31525582981371797 the lambda is 2.0 the regulation term lambda/alpha is 6.3440539741383475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3547368362071349 the lambda is 2.0 the regulation term lambda/alpha is 5.637982289587137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3121397684212311 the lambda is 2.0 the regulation term lambda/alpha is 6.407386056944239 580 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30523854606262585 the lambda is 2.0 the regulation term lambda/alpha is 6.552252413067318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35580536283354464 the lambda is 2.0 the regulation term lambda/alpha is 5.621050745476408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3086834209152722 the lambda is 2.0 the regulation term lambda/alpha is 6.479129958032189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35465619096257706 the lambda is 2.0 the regulation term lambda/alpha is 5.6392643099554345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.289811842877623 the lambda is 2.0 the regulation term lambda/alpha is 6.901029233800246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.267317931209197 the lambda is 2.0 the regulation term lambda/alpha is 7.481727809852176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2997990940126576 the lambda is 2.0 the regulation term lambda/alpha is 6.671134236034614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3011985110726986 the lambda is 2.0 the regulation term lambda/alpha is 6.640139066017066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3363282880683374 the lambda is 2.0 the regulation term lambda/alpha is 5.946570868263174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26847846909869133 the lambda is 2.0 the regulation term lambda/alpha is 7.4493869348786035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30410665350846533 the lambda is 2.0 the regulation term lambda/alpha is 6.576640060077891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34448079666280856 the lambda is 2.0 the regulation term lambda/alpha is 5.805838872225087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31507755188311315 the lambda is 2.0 the regulation term lambda/alpha is 6.34764358186316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34111128137250424 the lambda is 2.0 the regulation term lambda/alpha is 5.863189255872007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3597719388786252 the lambda is 2.0 the regulation term lambda/alpha is 5.559077248308496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30130886203108576 the lambda is 2.0 the regulation term lambda/alpha is 6.637707190283908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2880536778997197 the lambda is 2.0 the regulation term lambda/alpha is 6.943150368995674 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2975466760406221 the lambda is 2.0 the regulation term lambda/alpha is 6.7216344898000235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3179682245505086 the lambda is 2.0 the regulation term lambda/alpha is 6.289936684167961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33490481607644756 the lambda is 2.0 the regulation term lambda/alpha is 5.971846041006072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31370936547402467 the lambda is 2.0 the regulation term lambda/alpha is 6.375327676232864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3357471294085069 the lambda is 2.0 the regulation term lambda/alpha is 5.956864034916528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32116862989399453 the lambda is 2.0 the regulation term lambda/alpha is 6.227258249537395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.41892987308421686 the lambda is 2.0 the regulation term lambda/alpha is 4.774068712922611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3216876240730007 the lambda is 2.0 the regulation term lambda/alpha is 6.217211513073749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34075635211837935 the lambda is 2.0 the regulation term lambda/alpha is 5.869296309713976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35954213483357594 the lambda is 2.0 the regulation term lambda/alpha is 5.562630374116668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2782387028165217 the lambda is 2.0 the regulation term lambda/alpha is 7.188072614466059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33400672493009115 the lambda is 2.0 the regulation term lambda/alpha is 5.987903388527903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30101637623202626 the lambda is 2.0 the regulation term lambda/alpha is 6.644156789856447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3264516345919734 the lambda is 2.0 the regulation term lambda/alpha is 6.126481806408375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3434378707212622 the lambda is 2.0 the regulation term lambda/alpha is 5.8234696010656934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.297945949436496 the lambda is 2.0 the regulation term lambda/alpha is 6.7126269170048865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32443300166815203 the lambda is 2.0 the regulation term lambda/alpha is 6.164600979914215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33363359757535366 the lambda is 2.0 the regulation term lambda/alpha is 5.994600107827225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2798004287768334 the lambda is 2.0 the regulation term lambda/alpha is 7.1479518767828045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38002036181900933 the lambda is 2.0 the regulation term lambda/alpha is 5.26287589019383 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.318014186985258 the lambda is 2.0 the regulation term lambda/alpha is 6.28902760269847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3025049346206588 the lambda is 2.0 the regulation term lambda/alpha is 6.611462396499416 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3466702656287747 the lambda is 2.0 the regulation term lambda/alpha is 5.769170875882566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3126299353354738 the lambda is 2.0 the regulation term lambda/alpha is 6.397340030326463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3213244968263542 the lambda is 2.0 the regulation term lambda/alpha is 6.2242375534810614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2844571662999198 the lambda is 2.0 the regulation term lambda/alpha is 7.030935539487458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34969656165990215 the lambda is 2.0 the regulation term lambda/alpha is 5.719244108396761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30468526182820155 the lambda is 2.0 the regulation term lambda/alpha is 6.564150783006075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32928068978839264 the lambda is 2.0 the regulation term lambda/alpha is 6.073845390949802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033660879058844 the lambda is 2.0 the regulation term lambda/alpha is 6.592694700339992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32021559838737923 the lambda is 2.0 the regulation term lambda/alpha is 6.24579192916302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3151681537189472 the lambda is 2.0 the regulation term lambda/alpha is 6.3458188157662345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3562605390411646 the lambda is 2.0 the regulation term lambda/alpha is 5.613869011097261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34822741797238294 the lambda is 2.0 the regulation term lambda/alpha is 5.743373142888522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28737672752113674 the lambda is 2.0 the regulation term lambda/alpha is 6.959505793150556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3015071416998967 the lambda is 2.0 the regulation term lambda/alpha is 6.633342045312771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30953246610141977 the lambda is 2.0 the regulation term lambda/alpha is 6.461357754131971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30095459394154156 the lambda is 2.0 the regulation term lambda/alpha is 6.64552075383334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30001049458164636 the lambda is 2.0 the regulation term lambda/alpha is 6.666433461899147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3321228084013721 the lambda is 2.0 the regulation term lambda/alpha is 6.021868867202248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2926595654590963 the lambda is 2.0 the regulation term lambda/alpha is 6.833878799972218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3094024833222217 the lambda is 2.0 the regulation term lambda/alpha is 6.464072228913352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3367665986083595 the lambda is 2.0 the regulation term lambda/alpha is 5.938831250678417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31752891355601126 the lambda is 2.0 the regulation term lambda/alpha is 6.298639004561722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008740946322323 the lambda is 2.0 the regulation term lambda/alpha is 6.647298772746327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27849756575936546 the lambda is 2.0 the regulation term lambda/alpha is 7.18139131502532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2815570414660645 the lambda is 2.0 the regulation term lambda/alpha is 7.103356355735312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3649629768742254 the lambda is 2.0 the regulation term lambda/alpha is 5.480007909649547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.36387747410025095 the lambda is 2.0 the regulation term lambda/alpha is 5.4963556206531905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2998175394374914 the lambda is 2.0 the regulation term lambda/alpha is 6.670723813397774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3102501072794771 the lambda is 2.0 the regulation term lambda/alpha is 6.446411953045275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3446796242219697 the lambda is 2.0 the regulation term lambda/alpha is 5.802489788929395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2766893928766746 the lambda is 2.0 the regulation term lambda/alpha is 7.2283219071265075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3138794820693469 the lambda is 2.0 the regulation term lambda/alpha is 6.371872372206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30451164383198415 the lambda is 2.0 the regulation term lambda/alpha is 6.567893348286906 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34647461302212407 the lambda is 2.0 the regulation term lambda/alpha is 5.77242869991254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3082359960909303 the lambda is 2.0 the regulation term lambda/alpha is 6.4885348413687405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27636793429079054 the lambda is 2.0 the regulation term lambda/alpha is 7.236729561742961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2833341850802753 the lambda is 2.0 the regulation term lambda/alpha is 7.058802309482537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3422566700966796 the lambda is 2.0 the regulation term lambda/alpha is 5.843567634299271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31662337477575453 the lambda is 2.0 the regulation term lambda/alpha is 6.316653031117746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.320753843924119 the lambda is 2.0 the regulation term lambda/alpha is 6.235311089438235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3211026970019594 the lambda is 2.0 the regulation term lambda/alpha is 6.228536909447994 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2910925618109923 the lambda is 2.0 the regulation term lambda/alpha is 6.870666799444394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3848654229417121 the lambda is 2.0 the regulation term lambda/alpha is 5.1966216780739485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35669898363452435 the lambda is 2.0 the regulation term lambda/alpha is 5.606968597502959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2876104611099124 the lambda is 2.0 the regulation term lambda/alpha is 6.9538499826530495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2968852630700932 the lambda is 2.0 the regulation term lambda/alpha is 6.736609218382825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34105312226750056 the lambda is 2.0 the regulation term lambda/alpha is 5.864189093777966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28611188048375047 the lambda is 2.0 the regulation term lambda/alpha is 6.990272464808006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3132786393881244 the lambda is 2.0 the regulation term lambda/alpha is 6.384093099696394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30854299000563257 the lambda is 2.0 the regulation term lambda/alpha is 6.482078882957247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35475870576881136 the lambda is 2.0 the regulation term lambda/alpha is 5.637634728838359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3038667066352904 the lambda is 2.0 the regulation term lambda/alpha is 6.581833272048647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3830061890955509 the lambda is 2.0 the regulation term lambda/alpha is 5.2218477323379435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3533052277086595 the lambda is 2.0 the regulation term lambda/alpha is 5.660827644614498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31714443639181183 the lambda is 2.0 the regulation term lambda/alpha is 6.306274903492637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33327981671800155 the lambda is 2.0 the regulation term lambda/alpha is 6.000963453758325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087786716228431 the lambda is 2.0 the regulation term lambda/alpha is 6.4771313040782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30063253157418907 the lambda is 2.0 the regulation term lambda/alpha is 6.65263998386165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32350527639251775 the lambda is 2.0 the regulation term lambda/alpha is 6.182279381351869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.351286233151403 the lambda is 2.0 the regulation term lambda/alpha is 5.693362879774477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3485970028749949 the lambda is 2.0 the regulation term lambda/alpha is 5.737283979797123 590 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.349427939676999 the lambda is 2.0 the regulation term lambda/alpha is 5.723640765099499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3738231161808542 the lambda is 2.0 the regulation term lambda/alpha is 5.350123931427525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2964209495398943 the lambda is 2.0 the regulation term lambda/alpha is 6.747161437490864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35309872041749796 the lambda is 2.0 the regulation term lambda/alpha is 5.664138339655363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28329045692934945 the lambda is 2.0 the regulation term lambda/alpha is 7.05989189215359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2993380828166947 the lambda is 2.0 the regulation term lambda/alpha is 6.681408463569059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3195172746922416 the lambda is 2.0 the regulation term lambda/alpha is 6.259442472793985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3330297752083609 the lambda is 2.0 the regulation term lambda/alpha is 6.0054690267520225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29458366369170946 the lambda is 2.0 the regulation term lambda/alpha is 6.789242739858987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3385772809603152 the lambda is 2.0 the regulation term lambda/alpha is 5.907070888889384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32270341920110085 the lambda is 2.0 the regulation term lambda/alpha is 6.1976411807203355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31789676141846923 the lambda is 2.0 the regulation term lambda/alpha is 6.291350660748831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3164415996327388 the lambda is 2.0 the regulation term lambda/alpha is 6.3202815379557995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2751049951196456 the lambda is 2.0 the regulation term lambda/alpha is 7.26995160204264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31504090610624613 the lambda is 2.0 the regulation term lambda/alpha is 6.3483819441704785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33005135319486406 the lambda is 2.0 the regulation term lambda/alpha is 6.0596630816392665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2594182661176626 the lambda is 2.0 the regulation term lambda/alpha is 7.709557348952727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3539145388388492 the lambda is 2.0 the regulation term lambda/alpha is 5.651081774040021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31440926993624724 the lambda is 2.0 the regulation term lambda/alpha is 6.361135600122541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30946275644421556 the lambda is 2.0 the regulation term lambda/alpha is 6.462813241180847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29006099420282977 the lambda is 2.0 the regulation term lambda/alpha is 6.895101513033731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.32075076316984397 the lambda is 2.0 the regulation term lambda/alpha is 6.23537097849697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078031913467825 the lambda is 2.0 the regulation term lambda/alpha is 6.4976584266364075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34784251003634997 the lambda is 2.0 the regulation term lambda/alpha is 5.749728518779943 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2920343479635782 the lambda is 2.0 the regulation term lambda/alpha is 6.848509478239303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.305338744563121 the lambda is 2.0 the regulation term lambda/alpha is 6.550102257286746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31271478349708354 the lambda is 2.0 the regulation term lambda/alpha is 6.395604255206734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3187107060786121 the lambda is 2.0 the regulation term lambda/alpha is 6.2752833897794655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3170158437533001 the lambda is 2.0 the regulation term lambda/alpha is 6.308832947656674 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.353463523931829 the lambda is 2.0 the regulation term lambda/alpha is 5.658292481647219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2894113024192396 the lambda is 2.0 the regulation term lambda/alpha is 6.9105801441811385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31253115170997264 the lambda is 2.0 the regulation term lambda/alpha is 6.3993620765714585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31671764679457387 the lambda is 2.0 the regulation term lambda/alpha is 6.314772859174529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3080350995650847 the lambda is 2.0 the regulation term lambda/alpha is 6.49276658024947 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2722695962292123 the lambda is 2.0 the regulation term lambda/alpha is 7.345660432523227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30321692440000736 the lambda is 2.0 the regulation term lambda/alpha is 6.595937888221491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3435618619248809 the lambda is 2.0 the regulation term lambda/alpha is 5.821367915503077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2878616349696924 the lambda is 2.0 the regulation term lambda/alpha is 6.947782396256349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26312675276961983 the lambda is 2.0 the regulation term lambda/alpha is 7.600899486458135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3243077661739549 the lambda is 2.0 the regulation term lambda/alpha is 6.166981517572488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31455716875960077 the lambda is 2.0 the regulation term lambda/alpha is 6.35814471463689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3405271598003368 the lambda is 2.0 the regulation term lambda/alpha is 5.873246648439646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30540129492526585 the lambda is 2.0 the regulation term lambda/alpha is 6.548760706759334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199139194409963 the lambda is 2.0 the regulation term lambda/alpha is 6.251681713301857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.273241699761126 the lambda is 2.0 the regulation term lambda/alpha is 7.31952700392526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208174344893032 the lambda is 2.0 the regulation term lambda/alpha is 6.234075162354322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3081550448506683 the lambda is 2.0 the regulation term lambda/alpha is 6.490239356520022 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.333166811506214 the lambda is 2.0 the regulation term lambda/alpha is 6.002998891030589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32288168422485464 the lambda is 2.0 the regulation term lambda/alpha is 6.194219423753999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2828677297323186 the lambda is 2.0 the regulation term lambda/alpha is 7.070442435737105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3205364041185046 the lambda is 2.0 the regulation term lambda/alpha is 6.239540889279414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2991593169874994 the lambda is 2.0 the regulation term lambda/alpha is 6.6854010102034405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30528536469885237 the lambda is 2.0 the regulation term lambda/alpha is 6.55124755807699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3158667675828052 the lambda is 2.0 the regulation term lambda/alpha is 6.331783540589453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26640972930313334 the lambda is 2.0 the regulation term lambda/alpha is 7.507233332774823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32179290486037404 the lambda is 2.0 the regulation term lambda/alpha is 6.215177431795148 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3255774500109149 the lambda is 2.0 the regulation term lambda/alpha is 6.1429315818185515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3266070885689717 the lambda is 2.0 the regulation term lambda/alpha is 6.123565807352792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3228419034524839 the lambda is 2.0 the regulation term lambda/alpha is 6.194982679174921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30047117504333515 the lambda is 2.0 the regulation term lambda/alpha is 6.656212529243619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3604753109853868 the lambda is 2.0 the regulation term lambda/alpha is 5.548230181237231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3365838034521171 the lambda is 2.0 the regulation term lambda/alpha is 5.942056568044348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31435796740140537 the lambda is 2.0 the regulation term lambda/alpha is 6.362173723582419 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2669506265493114 the lambda is 2.0 the regulation term lambda/alpha is 7.492022123538856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3196467248137715 the lambda is 2.0 the regulation term lambda/alpha is 6.256907531792214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32781249780412286 the lambda is 2.0 the regulation term lambda/alpha is 6.101048658599514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38844836637256597 the lambda is 2.0 the regulation term lambda/alpha is 5.148689435037483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31269527417133486 the lambda is 2.0 the regulation term lambda/alpha is 6.39600328242934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31382820280267065 the lambda is 2.0 the regulation term lambda/alpha is 6.372913530838918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35447039084565835 the lambda is 2.0 the regulation term lambda/alpha is 5.642220201322343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30405451479931017 the lambda is 2.0 the regulation term lambda/alpha is 6.577767810223411 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3025545177988548 the lambda is 2.0 the regulation term lambda/alpha is 6.6103788981582685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3371498249830306 the lambda is 2.0 the regulation term lambda/alpha is 5.932080789603447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31186099235249437 the lambda is 2.0 the regulation term lambda/alpha is 6.413113691818865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2972826045468651 the lambda is 2.0 the regulation term lambda/alpha is 6.727605212718426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4024642669393964 the lambda is 2.0 the regulation term lambda/alpha is 4.969385270422436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3350107372556447 the lambda is 2.0 the regulation term lambda/alpha is 5.9699579075694285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2998491116839092 the lambda is 2.0 the regulation term lambda/alpha is 6.670021427671703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2697553731934545 the lambda is 2.0 the regulation term lambda/alpha is 7.414124791374236 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36813579004783764 the lambda is 2.0 the regulation term lambda/alpha is 5.432777942454627 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2994754231024848 the lambda is 2.0 the regulation term lambda/alpha is 6.678344350533136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34526233569444026 the lambda is 2.0 the regulation term lambda/alpha is 5.7926967213997385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3036484823724687 the lambda is 2.0 the regulation term lambda/alpha is 6.586563464350568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29315460242276675 the lambda is 2.0 the regulation term lambda/alpha is 6.822338736868071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35110880346522855 the lambda is 2.0 the regulation term lambda/alpha is 5.696239969665319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3325609883363812 the lambda is 2.0 the regulation term lambda/alpha is 6.013934496661483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4134752763610716 the lambda is 2.0 the regulation term lambda/alpha is 4.837048583900042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2975820847099098 the lambda is 2.0 the regulation term lambda/alpha is 6.720834696583459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30210601511868795 the lambda is 2.0 the regulation term lambda/alpha is 6.620192581118462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2801519571189749 the lambda is 2.0 the regulation term lambda/alpha is 7.138982788368101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30491625545509826 the lambda is 2.0 the regulation term lambda/alpha is 6.55917801763284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27832563042574193 the lambda is 2.0 the regulation term lambda/alpha is 7.185827611135531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33930380471808985 the lambda is 2.0 the regulation term lambda/alpha is 5.8944225563921915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29623091150369346 the lambda is 2.0 the regulation term lambda/alpha is 6.751489876082914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33314841116278526 the lambda is 2.0 the regulation term lambda/alpha is 6.003330446690158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3402627853221929 the lambda is 2.0 the regulation term lambda/alpha is 5.877809993550166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3283234121659656 the lambda is 2.0 the regulation term lambda/alpha is 6.091554625379598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27036524155589486 the lambda is 2.0 the regulation term lambda/alpha is 7.397400599612666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.305842856477589 the lambda is 2.0 the regulation term lambda/alpha is 6.539305913612379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2927767201512003 the lambda is 2.0 the regulation term lambda/alpha is 6.8311442213271905 600 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3618135929695718 the lambda is 2.0 the regulation term lambda/alpha is 5.527708297482893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2934744511551446 the lambda is 2.0 the regulation term lambda/alpha is 6.814903280772147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30237000818392845 the lambda is 2.0 the regulation term lambda/alpha is 6.614412626477892 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3076697969582883 the lambda is 2.0 the regulation term lambda/alpha is 6.500475574049103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2794429115327164 the lambda is 2.0 the regulation term lambda/alpha is 7.15709691482314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27410200707204785 the lambda is 2.0 the regulation term lambda/alpha is 7.29655364936565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.23874125808957758 the lambda is 2.0 the regulation term lambda/alpha is 8.377270087307592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30452178900926585 the lambda is 2.0 the regulation term lambda/alpha is 6.5676745381892685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34512681985368215 the lambda is 2.0 the regulation term lambda/alpha is 5.794971253894171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34248643179855975 the lambda is 2.0 the regulation term lambda/alpha is 5.839647397115983 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3575870087145442 the lambda is 2.0 the regulation term lambda/alpha is 5.593044353567573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028905115836728 the lambda is 2.0 the regulation term lambda/alpha is 6.6030460628922825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3332259187154915 the lambda is 2.0 the regulation term lambda/alpha is 6.001934086368597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2737298141281194 the lambda is 2.0 the regulation term lambda/alpha is 7.306474840420192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3381804334966967 the lambda is 2.0 the regulation term lambda/alpha is 5.914002709501926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32301143757813044 the lambda is 2.0 the regulation term lambda/alpha is 6.191731212354477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37309534298375024 the lambda is 2.0 the regulation term lambda/alpha is 5.360560075624176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.28902043525900345 the lambda is 2.0 the regulation term lambda/alpha is 6.919925915299779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32685609297321355 the lambda is 2.0 the regulation term lambda/alpha is 6.118900773142093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32660929794895954 the lambda is 2.0 the regulation term lambda/alpha is 6.123524383903325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3071404924181371 the lambda is 2.0 the regulation term lambda/alpha is 6.511678041061502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27782787487948585 the lambda is 2.0 the regulation term lambda/alpha is 7.198701717268454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2868646754835071 the lambda is 2.0 the regulation term lambda/alpha is 6.971928476829792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34479844618168737 the lambda is 2.0 the regulation term lambda/alpha is 5.800490176646922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28779240414741614 the lambda is 2.0 the regulation term lambda/alpha is 6.949453742272984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3016142360188307 the lambda is 2.0 the regulation term lambda/alpha is 6.630986741206519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32322253936608064 the lambda is 2.0 the regulation term lambda/alpha is 6.187687294093087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2934134285100123 the lambda is 2.0 the regulation term lambda/alpha is 6.816320609987873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2600724668767688 the lambda is 2.0 the regulation term lambda/alpha is 7.690164299274587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2847875341472405 the lambda is 2.0 the regulation term lambda/alpha is 7.022779301027841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30648615122825223 the lambda is 2.0 the regulation term lambda/alpha is 6.5255803304160445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981157386826359 the lambda is 2.0 the regulation term lambda/alpha is 6.708803798276257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3156827216537906 the lambda is 2.0 the regulation term lambda/alpha is 6.335475028606099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3905184405707574 the lambda is 2.0 the regulation term lambda/alpha is 5.121397076862554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27399664927125345 the lambda is 2.0 the regulation term lambda/alpha is 7.2993593363983935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2693999932124809 the lambda is 2.0 the regulation term lambda/alpha is 7.423905161061239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3118388733616392 the lambda is 2.0 the regulation term lambda/alpha is 6.413568579311157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008943946910099 the lambda is 2.0 the regulation term lambda/alpha is 6.646850307908895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34343557638772504 the lambda is 2.0 the regulation term lambda/alpha is 5.823508504960709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33550604518232646 the lambda is 2.0 the regulation term lambda/alpha is 5.961144452443847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3545820158229184 the lambda is 2.0 the regulation term lambda/alpha is 5.640443989688465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.26647771234136397 the lambda is 2.0 the regulation term lambda/alpha is 7.505318108697792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2932021508688616 the lambda is 2.0 the regulation term lambda/alpha is 6.821232361608853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30279311240533896 the lambda is 2.0 the regulation term lambda/alpha is 6.605170058566812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3479501486095306 the lambda is 2.0 the regulation term lambda/alpha is 5.747949837045187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.349149911230543 the lambda is 2.0 the regulation term lambda/alpha is 5.728198506341317 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28834392640606427 the lambda is 2.0 the regulation term lambda/alpha is 6.9361613574737575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36520393510164967 the lambda is 2.0 the regulation term lambda/alpha is 5.476392250382863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3395782070036716 the lambda is 2.0 the regulation term lambda/alpha is 5.889659462093737 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25701761815325674 the lambda is 2.0 the regulation term lambda/alpha is 7.781567716526819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2942000302703478 the lambda is 2.0 the regulation term lambda/alpha is 6.798095833512151 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36414828783752556 the lambda is 2.0 the regulation term lambda/alpha is 5.49226803145743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30455474219298556 the lambda is 2.0 the regulation term lambda/alpha is 6.566963908027644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2995371283204865 the lambda is 2.0 the regulation term lambda/alpha is 6.676968598898102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35473027354877834 the lambda is 2.0 the regulation term lambda/alpha is 5.638086594616468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3318560061502142 the lambda is 2.0 the regulation term lambda/alpha is 6.026710268714265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.293498167523913 the lambda is 2.0 the regulation term lambda/alpha is 6.814352596722936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34199015957379053 the lambda is 2.0 the regulation term lambda/alpha is 5.848121485403337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3093972397231822 the lambda is 2.0 the regulation term lambda/alpha is 6.4641817806435515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3309742963319466 the lambda is 2.0 the regulation term lambda/alpha is 6.042765320948442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3339502087040867 the lambda is 2.0 the regulation term lambda/alpha is 5.988916754270395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30122430045645077 the lambda is 2.0 the regulation term lambda/alpha is 6.63957056907216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2821272993143217 the lambda is 2.0 the regulation term lambda/alpha is 7.088998494157682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31373269150659094 the lambda is 2.0 the regulation term lambda/alpha is 6.37485367047885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.397907339748 the lambda is 2.0 the regulation term lambda/alpha is 5.026295823712693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3086827067590438 the lambda is 2.0 the regulation term lambda/alpha is 6.479144947893664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27764148440820285 the lambda is 2.0 the regulation term lambda/alpha is 7.203534458343036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28033813654445644 the lambda is 2.0 the regulation term lambda/alpha is 7.134241614974982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3213409897026175 the lambda is 2.0 the regulation term lambda/alpha is 6.223918093520794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37995505910539723 the lambda is 2.0 the regulation term lambda/alpha is 5.263780418423675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31592562997742907 the lambda is 2.0 the regulation term lambda/alpha is 6.330603820091734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3151284028073486 the lambda is 2.0 the regulation term lambda/alpha is 6.346619289733414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2847702913969475 the lambda is 2.0 the regulation term lambda/alpha is 7.023204528074021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32892470508600413 the lambda is 2.0 the regulation term lambda/alpha is 6.080418919816494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.43032948131343557 the lambda is 2.0 the regulation term lambda/alpha is 4.647601632813245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3133587628108079 the lambda is 2.0 the regulation term lambda/alpha is 6.3824607362504535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3379107563750031 the lambda is 2.0 the regulation term lambda/alpha is 5.918722509621625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30919151849084603 the lambda is 2.0 the regulation term lambda/alpha is 6.468482737695835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3528009194565094 the lambda is 2.0 the regulation term lambda/alpha is 5.668919466199251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3533038242283199 the lambda is 2.0 the regulation term lambda/alpha is 5.660850131946251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3260532762368916 the lambda is 2.0 the regulation term lambda/alpha is 6.133966887506183 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26729567099444707 the lambda is 2.0 the regulation term lambda/alpha is 7.482350883421337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3178104341254736 the lambda is 2.0 the regulation term lambda/alpha is 6.293059589133525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2821133377850358 the lambda is 2.0 the regulation term lambda/alpha is 7.089349322164826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28901261626026536 the lambda is 2.0 the regulation term lambda/alpha is 6.920113128206605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34042917916466053 the lambda is 2.0 the regulation term lambda/alpha is 5.874937057121739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29931728759144016 the lambda is 2.0 the regulation term lambda/alpha is 6.681872657919929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128521740939504 the lambda is 2.0 the regulation term lambda/alpha is 6.3927955936128305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3412323894823277 the lambda is 2.0 the regulation term lambda/alpha is 5.861108328649967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31009623319555446 the lambda is 2.0 the regulation term lambda/alpha is 6.449610752732846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29390191736072624 the lambda is 2.0 the regulation term lambda/alpha is 6.80499133166682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3024324261886525 the lambda is 2.0 the regulation term lambda/alpha is 6.613047500245334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34795803013658444 the lambda is 2.0 the regulation term lambda/alpha is 5.747819641394502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3184793691208559 the lambda is 2.0 the regulation term lambda/alpha is 6.279841628425998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2855742676336425 the lambda is 2.0 the regulation term lambda/alpha is 7.003432124934169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303909571449435 the lambda is 2.0 the regulation term lambda/alpha is 6.580904939786549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3093605719251841 the lambda is 2.0 the regulation term lambda/alpha is 6.464947965261975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28918881689532644 the lambda is 2.0 the regulation term lambda/alpha is 6.915896753794292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3086393954033198 the lambda is 2.0 the regulation term lambda/alpha is 6.480054166080989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31870797183845245 the lambda is 2.0 the regulation term lambda/alpha is 6.2753372263112555 610 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32926137953983226 the lambda is 2.0 the regulation term lambda/alpha is 6.074201604801485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28617253031176837 the lambda is 2.0 the regulation term lambda/alpha is 6.988790985008645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.307860600278731 the lambda is 2.0 the regulation term lambda/alpha is 6.496446762558245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30464695990245505 the lambda is 2.0 the regulation term lambda/alpha is 6.56497606488632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32570860133149165 the lambda is 2.0 the regulation term lambda/alpha is 6.140458040788703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34032534360739003 the lambda is 2.0 the regulation term lambda/alpha is 5.876729540034675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3727036674808595 the lambda is 2.0 the regulation term lambda/alpha is 5.366193505736597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3132790215533684 the lambda is 2.0 the regulation term lambda/alpha is 6.38408531181936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31299738929572624 the lambda is 2.0 the regulation term lambda/alpha is 6.389829654810186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38854331559312544 the lambda is 2.0 the regulation term lambda/alpha is 5.147431237999624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2673102633638428 the lambda is 2.0 the regulation term lambda/alpha is 7.481942424626432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3220770950547116 the lambda is 2.0 the regulation term lambda/alpha is 6.209693364442006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27595121119020816 the lambda is 2.0 the regulation term lambda/alpha is 7.247657987706517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29172699680382036 the lambda is 2.0 the regulation term lambda/alpha is 6.855724776630645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34039059562964724 the lambda is 2.0 the regulation term lambda/alpha is 5.875602985741844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2680373314312909 the lambda is 2.0 the regulation term lambda/alpha is 7.461647186681842 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3354903585783479 the lambda is 2.0 the regulation term lambda/alpha is 5.961423179119274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32412672642993906 the lambda is 2.0 the regulation term lambda/alpha is 6.170426061524753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32098977255853334 the lambda is 2.0 the regulation term lambda/alpha is 6.230728113417678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29405898330045616 the lambda is 2.0 the regulation term lambda/alpha is 6.801356576671866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32492587867944484 the lambda is 2.0 the regulation term lambda/alpha is 6.155249954630721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29913477749395023 the lambda is 2.0 the regulation term lambda/alpha is 6.685949446451269 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35599377509126245 the lambda is 2.0 the regulation term lambda/alpha is 5.618075764069977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.324454953406163 the lambda is 2.0 the regulation term lambda/alpha is 6.164183899810389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2835429229250491 the lambda is 2.0 the regulation term lambda/alpha is 7.0536057799216305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34520807963215855 the lambda is 2.0 the regulation term lambda/alpha is 5.793607154650403 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2826191595090525 the lambda is 2.0 the regulation term lambda/alpha is 7.076661056788469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3372840349925675 the lambda is 2.0 the regulation term lambda/alpha is 5.929720332135118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2729444363429453 the lambda is 2.0 the regulation term lambda/alpha is 7.327498690931618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2942183890280603 the lambda is 2.0 the regulation term lambda/alpha is 6.797671643186297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3340598311928428 the lambda is 2.0 the regulation term lambda/alpha is 5.986951477699392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.24439639707505356 the lambda is 2.0 the regulation term lambda/alpha is 8.183426695058047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.323111623093555 the lambda is 2.0 the regulation term lambda/alpha is 6.18981137494058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3211499406087569 the lambda is 2.0 the regulation term lambda/alpha is 6.227620644141777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39047850832703 the lambda is 2.0 the regulation term lambda/alpha is 5.1219208159978376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3037619942624258 the lambda is 2.0 the regulation term lambda/alpha is 6.584102151608084 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34131455117977255 the lambda is 2.0 the regulation term lambda/alpha is 5.859697434776484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3259872904077614 the lambda is 2.0 the regulation term lambda/alpha is 6.135208515332909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2604313136190359 the lambda is 2.0 the regulation term lambda/alpha is 7.679568068091996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29477958447227487 the lambda is 2.0 the regulation term lambda/alpha is 6.784730372629003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3084855316781045 the lambda is 2.0 the regulation term lambda/alpha is 6.483286231027978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3508117265087956 the lambda is 2.0 the regulation term lambda/alpha is 5.701063701329424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3088879936514599 the lambda is 2.0 the regulation term lambda/alpha is 6.474838909591096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3465896852755726 the lambda is 2.0 the regulation term lambda/alpha is 5.7705121790044185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3074487767844212 the lambda is 2.0 the regulation term lambda/alpha is 6.505148665471427 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26764201746583033 the lambda is 2.0 the regulation term lambda/alpha is 7.472668226525152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31369098575022963 the lambda is 2.0 the regulation term lambda/alpha is 6.375701218244318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3082975440010288 the lambda is 2.0 the regulation term lambda/alpha is 6.487239483144653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33503622875017475 the lambda is 2.0 the regulation term lambda/alpha is 5.969503678634506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35111891395491784 the lambda is 2.0 the regulation term lambda/alpha is 5.696075946101813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3409072408233342 the lambda is 2.0 the regulation term lambda/alpha is 5.866698504759672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28654316089000686 the lambda is 2.0 the regulation term lambda/alpha is 6.979751300948776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.43316037045388983 the lambda is 2.0 the regulation term lambda/alpha is 4.617227559170031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3158578939404234 the lambda is 2.0 the regulation term lambda/alpha is 6.331961424327222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3432674229636801 the lambda is 2.0 the regulation term lambda/alpha is 5.826361216373313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30616181288822364 the lambda is 2.0 the regulation term lambda/alpha is 6.532493328063021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30660923340303925 the lambda is 2.0 the regulation term lambda/alpha is 6.5229607660607885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3106521335016468 the lambda is 2.0 the regulation term lambda/alpha is 6.438069416926757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3247326325440882 the lambda is 2.0 the regulation term lambda/alpha is 6.158912901149424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32296749484553644 the lambda is 2.0 the regulation term lambda/alpha is 6.192573654994373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3048698498783806 the lambda is 2.0 the regulation term lambda/alpha is 6.560176418881187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3374875755492811 the lambda is 2.0 the regulation term lambda/alpha is 5.926144086178228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.338294929486699 the lambda is 2.0 the regulation term lambda/alpha is 5.912001114041633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3233327675981135 the lambda is 2.0 the regulation term lambda/alpha is 6.185577833193511 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3436250504133051 the lambda is 2.0 the regulation term lambda/alpha is 5.820297436390162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29168018335457285 the lambda is 2.0 the regulation term lambda/alpha is 6.856825091777853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3071462843354318 the lambda is 2.0 the regulation term lambda/alpha is 6.511555249080654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3398736155424996 the lambda is 2.0 the regulation term lambda/alpha is 5.884540336582583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35494686378825074 the lambda is 2.0 the regulation term lambda/alpha is 5.634646207757824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3626870369742827 the lambda is 2.0 the regulation term lambda/alpha is 5.514396149046307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303355824147527 the lambda is 2.0 the regulation term lambda/alpha is 6.592917757950699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3073617818698115 the lambda is 2.0 the regulation term lambda/alpha is 6.506989866577281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30275123275684873 the lambda is 2.0 the regulation term lambda/alpha is 6.606083753278315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3201471008661016 the lambda is 2.0 the regulation term lambda/alpha is 6.247128256321398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35361652296421087 the lambda is 2.0 the regulation term lambda/alpha is 5.655844311897207 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.348064124171747 the lambda is 2.0 the regulation term lambda/alpha is 5.746067638424954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2885275991560226 the lambda is 2.0 the regulation term lambda/alpha is 6.931745891381749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37446138972845433 the lambda is 2.0 the regulation term lambda/alpha is 5.341004586481738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40698566894974464 the lambda is 2.0 the regulation term lambda/alpha is 4.914177949216595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3162484748661812 the lambda is 2.0 the regulation term lambda/alpha is 6.32414117047138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34193877482715734 the lambda is 2.0 the regulation term lambda/alpha is 5.849000310102172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.318380299026705 the lambda is 2.0 the regulation term lambda/alpha is 6.281795720759232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35199566361594364 the lambda is 2.0 the regulation term lambda/alpha is 5.681888178549169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3485312897381131 the lambda is 2.0 the regulation term lambda/alpha is 5.738365704562144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3599092762588527 the lambda is 2.0 the regulation term lambda/alpha is 5.556955966207347 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.335630836127156 the lambda is 2.0 the regulation term lambda/alpha is 5.958928038549732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3499104863501944 the lambda is 2.0 the regulation term lambda/alpha is 5.715747535495056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3359135849597624 the lambda is 2.0 the regulation term lambda/alpha is 5.953912224894301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2946724470361428 the lambda is 2.0 the regulation term lambda/alpha is 6.7871971747487185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2956074439676008 the lambda is 2.0 the regulation term lambda/alpha is 6.765729486227702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33646673978506797 the lambda is 2.0 the regulation term lambda/alpha is 5.944123931172462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3315774093585733 the lambda is 2.0 the regulation term lambda/alpha is 6.031774009782334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34335243666295384 the lambda is 2.0 the regulation term lambda/alpha is 5.824918615513617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28994995439500154 the lambda is 2.0 the regulation term lambda/alpha is 6.897742074742254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2960376868057792 the lambda is 2.0 the regulation term lambda/alpha is 6.7558965940445805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.280742564354721 the lambda is 2.0 the regulation term lambda/alpha is 7.123964278793793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3597313620954267 the lambda is 2.0 the regulation term lambda/alpha is 5.559704298090795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31679460069383264 the lambda is 2.0 the regulation term lambda/alpha is 6.313238911331408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36103945114891794 the lambda is 2.0 the regulation term lambda/alpha is 5.53956082537656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31275383528888795 the lambda is 2.0 the regulation term lambda/alpha is 6.394805672495168 620 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30550770732189114 the lambda is 2.0 the regulation term lambda/alpha is 6.546479686329962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32851735706038193 the lambda is 2.0 the regulation term lambda/alpha is 6.087958389463109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30039423353316214 the lambda is 2.0 the regulation term lambda/alpha is 6.657917418974719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2846043384457446 the lambda is 2.0 the regulation term lambda/alpha is 7.027299762618583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008957326018629 the lambda is 2.0 the regulation term lambda/alpha is 6.646820753175472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3935588889320773 the lambda is 2.0 the regulation term lambda/alpha is 5.081831604482377 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29123773510628054 the lambda is 2.0 the regulation term lambda/alpha is 6.8672419776583755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27781521014421034 the lambda is 2.0 the regulation term lambda/alpha is 7.199029883791551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29593030490497096 the lambda is 2.0 the regulation term lambda/alpha is 6.758348053073643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35028605937905766 the lambda is 2.0 the regulation term lambda/alpha is 5.709619171100741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34062289890916053 the lambda is 2.0 the regulation term lambda/alpha is 5.871595851027539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31090749220345665 the lambda is 2.0 the regulation term lambda/alpha is 6.432781615604194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2985499881574995 the lambda is 2.0 the regulation term lambda/alpha is 6.699045651761686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3430158027987823 the lambda is 2.0 the regulation term lambda/alpha is 5.830635159317214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35157314323322925 the lambda is 2.0 the regulation term lambda/alpha is 5.688716668193352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3245294865384956 the lambda is 2.0 the regulation term lambda/alpha is 6.162768201227103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2924796230034971 the lambda is 2.0 the regulation term lambda/alpha is 6.838083212299841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32957914995927895 the lambda is 2.0 the regulation term lambda/alpha is 6.068345040173535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3645289032612376 the lambda is 2.0 the regulation term lambda/alpha is 5.486533391747845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.346504568214432 the lambda is 2.0 the regulation term lambda/alpha is 5.771929675577361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37765109612570996 the lambda is 2.0 the regulation term lambda/alpha is 5.295893539083634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34624921347040255 the lambda is 2.0 the regulation term lambda/alpha is 5.776186406185037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34225322105274 the lambda is 2.0 the regulation term lambda/alpha is 5.843626522631929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25916946570832033 the lambda is 2.0 the regulation term lambda/alpha is 7.7169584562514775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2927629497227913 the lambda is 2.0 the regulation term lambda/alpha is 6.8314655317339215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2931315057058664 the lambda is 2.0 the regulation term lambda/alpha is 6.8228762895477955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25494400251907234 the lambda is 2.0 the regulation term lambda/alpha is 7.84485997018259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29170891308436847 the lambda is 2.0 the regulation term lambda/alpha is 6.856149779083223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31448354388253924 the lambda is 2.0 the regulation term lambda/alpha is 6.35963324283514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3808084986234309 the lambda is 2.0 the regulation term lambda/alpha is 5.251983627544338 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27677875737683655 the lambda is 2.0 the regulation term lambda/alpha is 7.225988074211142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077740380901325 the lambda is 2.0 the regulation term lambda/alpha is 6.498273903838161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28950729372112516 the lambda is 2.0 the regulation term lambda/alpha is 6.908288818196573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32857473367693674 the lambda is 2.0 the regulation term lambda/alpha is 6.086895293557332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34472228924872234 the lambda is 2.0 the regulation term lambda/alpha is 5.801771635825294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30446237266445275 the lambda is 2.0 the regulation term lambda/alpha is 6.5689562309369345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2658688104521727 the lambda is 2.0 the regulation term lambda/alpha is 7.522507046232793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30910469801293067 the lambda is 2.0 the regulation term lambda/alpha is 6.4702995873467275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2934477435368865 the lambda is 2.0 the regulation term lambda/alpha is 6.815523526929417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3085628432347886 the lambda is 2.0 the regulation term lambda/alpha is 6.481661819787484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3001211957837359 the lambda is 2.0 the regulation term lambda/alpha is 6.663974514619682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3120058368470913 the lambda is 2.0 the regulation term lambda/alpha is 6.410136490427791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31915322217641023 the lambda is 2.0 the regulation term lambda/alpha is 6.26658250968405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32685574245497295 the lambda is 2.0 the regulation term lambda/alpha is 6.118907335016506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39643726687292863 the lambda is 2.0 the regulation term lambda/alpha is 5.044934387162614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31259847330731677 the lambda is 2.0 the regulation term lambda/alpha is 6.397983901968044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208741869993933 the lambda is 2.0 the regulation term lambda/alpha is 6.2329725513376415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3004369534546158 the lambda is 2.0 the regulation term lambda/alpha is 6.6569707121668085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27727234784943827 the lambda is 2.0 the regulation term lambda/alpha is 7.213124624623659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3249482687037218 the lambda is 2.0 the regulation term lambda/alpha is 6.154825837289014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.229429371014649 the lambda is 2.0 the regulation term lambda/alpha is 8.717279706408211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3600914075166492 the lambda is 2.0 the regulation term lambda/alpha is 5.554145303807417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.339055462901581 the lambda is 2.0 the regulation term lambda/alpha is 5.898739937366967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3038387350999876 the lambda is 2.0 the regulation term lambda/alpha is 6.582439198681622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3234665507735534 the lambda is 2.0 the regulation term lambda/alpha is 6.1830195277289235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2867454753558034 the lambda is 2.0 the regulation term lambda/alpha is 6.9748267083145175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30407358794133604 the lambda is 2.0 the regulation term lambda/alpha is 6.577355217007055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3450490095843521 the lambda is 2.0 the regulation term lambda/alpha is 5.79627804875954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3113478208214023 the lambda is 2.0 the regulation term lambda/alpha is 6.423683951676846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2801510858906081 the lambda is 2.0 the regulation term lambda/alpha is 7.13900498954678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3407184543840805 the lambda is 2.0 the regulation term lambda/alpha is 5.869949145007177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3257080672817818 the lambda is 2.0 the regulation term lambda/alpha is 6.140468109037434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32918186260798815 the lambda is 2.0 the regulation term lambda/alpha is 6.075668884533089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3059902229928236 the lambda is 2.0 the regulation term lambda/alpha is 6.536156549181332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.27988165728790343 the lambda is 2.0 the regulation term lambda/alpha is 7.145877366099334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31657943160618857 the lambda is 2.0 the regulation term lambda/alpha is 6.31752982135591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32331219628008806 the lambda is 2.0 the regulation term lambda/alpha is 6.1859714016707965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3390087901796281 the lambda is 2.0 the regulation term lambda/alpha is 5.899552040937566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3242883732150099 the lambda is 2.0 the regulation term lambda/alpha is 6.167350312846272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31125129001014235 the lambda is 2.0 the regulation term lambda/alpha is 6.425676179317453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28761840328506166 the lambda is 2.0 the regulation term lambda/alpha is 6.953657961927348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30271253860020814 the lambda is 2.0 the regulation term lambda/alpha is 6.606928174327777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302247346892369 the lambda is 2.0 the regulation term lambda/alpha is 6.056481510635873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3167235049573002 the lambda is 2.0 the regulation term lambda/alpha is 6.314656060242939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29411833294216 the lambda is 2.0 the regulation term lambda/alpha is 6.799984142414241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3665653576340403 the lambda is 2.0 the regulation term lambda/alpha is 5.456052947580211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3334518050381916 the lambda is 2.0 the regulation term lambda/alpha is 5.997868266962692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2841985227118369 the lambda is 2.0 the regulation term lambda/alpha is 7.037334258165375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3080258581105554 the lambda is 2.0 the regulation term lambda/alpha is 6.4929613775547645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3155781188833324 the lambda is 2.0 the regulation term lambda/alpha is 6.337575010197046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30461001805760657 the lambda is 2.0 the regulation term lambda/alpha is 6.565772238067916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.31364959071363335 the lambda is 2.0 the regulation term lambda/alpha is 6.376542674420478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3634833092775229 the lambda is 2.0 the regulation term lambda/alpha is 5.502315921947825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3222499255564674 the lambda is 2.0 the regulation term lambda/alpha is 6.206362954301265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3381134824304103 the lambda is 2.0 the regulation term lambda/alpha is 5.91517376244124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2775672157001145 the lambda is 2.0 the regulation term lambda/alpha is 7.205461909308531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32740671991632175 the lambda is 2.0 the regulation term lambda/alpha is 6.10861011194626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33218266206753017 the lambda is 2.0 the regulation term lambda/alpha is 6.020783828848405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30282783766749205 the lambda is 2.0 the regulation term lambda/alpha is 6.604412643846897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077450624491856 the lambda is 2.0 the regulation term lambda/alpha is 6.498885746802963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28817710674477887 the lambda is 2.0 the regulation term lambda/alpha is 6.940176555285079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33257934575718323 the lambda is 2.0 the regulation term lambda/alpha is 6.013602544820097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3271539790794153 the lambda is 2.0 the regulation term lambda/alpha is 6.113329281911342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3396400631328044 the lambda is 2.0 the regulation term lambda/alpha is 5.8885868220380395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2968169076438251 the lambda is 2.0 the regulation term lambda/alpha is 6.738160625269917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2970245087899662 the lambda is 2.0 the regulation term lambda/alpha is 6.7334510816891955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39016069140299453 the lambda is 2.0 the regulation term lambda/alpha is 5.126093027998591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33007246961947934 the lambda is 2.0 the regulation term lambda/alpha is 6.059275413989175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2771812222014909 the lambda is 2.0 the regulation term lambda/alpha is 7.215495999747571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36466662359220225 the lambda is 2.0 the regulation term lambda/alpha is 5.484461342523496 630 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29483483657172005 the lambda is 2.0 the regulation term lambda/alpha is 6.783458912981913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31908129480387326 the lambda is 2.0 the regulation term lambda/alpha is 6.26799512403045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3758982509181314 the lambda is 2.0 the regulation term lambda/alpha is 5.320588736752566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3727027946220976 the lambda is 2.0 the regulation term lambda/alpha is 5.366206073200772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2971527106043882 the lambda is 2.0 the regulation term lambda/alpha is 6.730546041232932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3163870883732469 the lambda is 2.0 the regulation term lambda/alpha is 6.321370477800813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302792476760152 the lambda is 2.0 the regulation term lambda/alpha is 6.055481881083501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30149702956011104 the lambda is 2.0 the regulation term lambda/alpha is 6.6335645260519875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33969949465331967 the lambda is 2.0 the regulation term lambda/alpha is 5.887556594810658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2727354753438765 the lambda is 2.0 the regulation term lambda/alpha is 7.333112780720275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2812782601814148 the lambda is 2.0 the regulation term lambda/alpha is 7.110396653868909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32695485133693897 the lambda is 2.0 the regulation term lambda/alpha is 6.117052528267662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26857288728927464 the lambda is 2.0 the regulation term lambda/alpha is 7.446768064290268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30732884526073373 the lambda is 2.0 the regulation term lambda/alpha is 6.5076872244231625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28053980193907785 the lambda is 2.0 the regulation term lambda/alpha is 7.129113181716443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30060333989991206 the lambda is 2.0 the regulation term lambda/alpha is 6.65328602358814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28887441092656674 the lambda is 2.0 the regulation term lambda/alpha is 6.923423897551139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2876636574514552 the lambda is 2.0 the regulation term lambda/alpha is 6.952564038568239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32069633381258583 the lambda is 2.0 the regulation term lambda/alpha is 6.23642926073734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2955238149391971 the lambda is 2.0 the regulation term lambda/alpha is 6.767644091260436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3288115243712146 the lambda is 2.0 the regulation term lambda/alpha is 6.082511870058675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3173311767842232 the lambda is 2.0 the regulation term lambda/alpha is 6.302563839669454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33667637809163076 the lambda is 2.0 the regulation term lambda/alpha is 5.940422703061379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3277882572142003 the lambda is 2.0 the regulation term lambda/alpha is 6.1014998432145084 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3356919500095889 the lambda is 2.0 the regulation term lambda/alpha is 5.95784319505687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29182548605469966 the lambda is 2.0 the regulation term lambda/alpha is 6.853411012995352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2842288454024194 the lambda is 2.0 the regulation term lambda/alpha is 7.036583486691304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3375021609599 the lambda is 2.0 the regulation term lambda/alpha is 5.925887983388729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2670989639787111 the lambda is 2.0 the regulation term lambda/alpha is 7.487861316300008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3247303797288505 the lambda is 2.0 the regulation term lambda/alpha is 6.158955628574073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33552943964227 the lambda is 2.0 the regulation term lambda/alpha is 5.960728817513991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2983121250746855 the lambda is 2.0 the regulation term lambda/alpha is 6.704387223614459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26575788712216847 the lambda is 2.0 the regulation term lambda/alpha is 7.525646827108478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2727390814102898 the lambda is 2.0 the regulation term lambda/alpha is 7.333015824715411 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29077610073671173 the lambda is 2.0 the regulation term lambda/alpha is 6.87814436926828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3009654133137644 the lambda is 2.0 the regulation term lambda/alpha is 6.645281854745704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3057926016466479 the lambda is 2.0 the regulation term lambda/alpha is 6.540380601853335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31575865414665544 the lambda is 2.0 the regulation term lambda/alpha is 6.333951496610736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35627665506990247 the lambda is 2.0 the regulation term lambda/alpha is 5.6136150700292005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.33176343293168004 the lambda is 2.0 the regulation term lambda/alpha is 6.028391924711785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30541148818067615 the lambda is 2.0 the regulation term lambda/alpha is 6.548542138718877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2669190380073029 the lambda is 2.0 the regulation term lambda/alpha is 7.4929087671344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2583462359891302 the lambda is 2.0 the regulation term lambda/alpha is 7.741548826297392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31321879173155676 the lambda is 2.0 the regulation term lambda/alpha is 6.385312927565643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35283209873202387 the lambda is 2.0 the regulation term lambda/alpha is 5.668418511772085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2891033917864283 the lambda is 2.0 the regulation term lambda/alpha is 6.917940283030219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3331188998304727 the lambda is 2.0 the regulation term lambda/alpha is 6.003862287663109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3372582064578376 the lambda is 2.0 the regulation term lambda/alpha is 5.930174452997425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3096798859440242 the lambda is 2.0 the regulation term lambda/alpha is 6.458281892939949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30756396278504156 the lambda is 2.0 the regulation term lambda/alpha is 6.502712417572188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3203869242444956 the lambda is 2.0 the regulation term lambda/alpha is 6.242452012410307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30089293581994764 the lambda is 2.0 the regulation term lambda/alpha is 6.646882534978444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30268952037430646 the lambda is 2.0 the regulation term lambda/alpha is 6.607430602575193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089891953244744 the lambda is 2.0 the regulation term lambda/alpha is 6.472718238253505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3393146188654075 the lambda is 2.0 the regulation term lambda/alpha is 5.894234697837525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078654726172714 the lambda is 2.0 the regulation term lambda/alpha is 6.4963439485347445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32662970251657825 the lambda is 2.0 the regulation term lambda/alpha is 6.123141847145665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3303664243461533 the lambda is 2.0 the regulation term lambda/alpha is 6.053883968258312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.331927936364901 the lambda is 2.0 the regulation term lambda/alpha is 6.025404254619064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3527932483124553 the lambda is 2.0 the regulation term lambda/alpha is 5.669042731307255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35272483297790014 the lambda is 2.0 the regulation term lambda/alpha is 5.670142312110214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2775122973697198 the lambda is 2.0 the regulation term lambda/alpha is 7.206887835083831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30929428856779717 the lambda is 2.0 the regulation term lambda/alpha is 6.4663334368736685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28658604962140827 the lambda is 2.0 the regulation term lambda/alpha is 6.978706753668159 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31064661300405655 the lambda is 2.0 the regulation term lambda/alpha is 6.438183827788533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29191644836460195 the lambda is 2.0 the regulation term lambda/alpha is 6.851275463251771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3195410781893741 the lambda is 2.0 the regulation term lambda/alpha is 6.2589761896425475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35693969953205945 the lambda is 2.0 the regulation term lambda/alpha is 5.603187324419107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30586010557723375 the lambda is 2.0 the regulation term lambda/alpha is 6.538937126911353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2639809049476284 the lambda is 2.0 the regulation term lambda/alpha is 7.576305567998501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3080299264473063 the lambda is 2.0 the regulation term lambda/alpha is 6.492875621103437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3130658316088641 the lambda is 2.0 the regulation term lambda/alpha is 6.388432713087468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3592753518526751 the lambda is 2.0 the regulation term lambda/alpha is 5.566760952808481 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32825958262677285 the lambda is 2.0 the regulation term lambda/alpha is 6.092739118217839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30556299815591154 the lambda is 2.0 the regulation term lambda/alpha is 6.5452951177665595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31826459699340076 the lambda is 2.0 the regulation term lambda/alpha is 6.28407940717789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32075430889364176 the lambda is 2.0 the regulation term lambda/alpha is 6.235302050652033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3448817379885107 the lambda is 2.0 the regulation term lambda/alpha is 5.799089310048152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3379634345800223 the lambda is 2.0 the regulation term lambda/alpha is 5.917799961067812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31920365335992595 the lambda is 2.0 the regulation term lambda/alpha is 6.265592448419914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3181120383518915 the lambda is 2.0 the regulation term lambda/alpha is 6.287093095759002 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2863686905266968 the lambda is 2.0 the regulation term lambda/alpha is 6.984003720244513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31389171096936186 the lambda is 2.0 the regulation term lambda/alpha is 6.371624130575448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30347776737258275 the lambda is 2.0 the regulation term lambda/alpha is 6.590268596330418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26831859911473366 the lambda is 2.0 the regulation term lambda/alpha is 7.4538254396028485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3411095992469281 the lambda is 2.0 the regulation term lambda/alpha is 5.863218169220171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26468203726475814 the lambda is 2.0 the regulation term lambda/alpha is 7.556236232228426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3506691193493006 the lambda is 2.0 the regulation term lambda/alpha is 5.703382161825903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3112831770600193 the lambda is 2.0 the regulation term lambda/alpha is 6.425017949538516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31429452163866445 the lambda is 2.0 the regulation term lambda/alpha is 6.363458037933425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.30688244990131763 the lambda is 2.0 the regulation term lambda/alpha is 6.517153394216998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3687705249977012 the lambda is 2.0 the regulation term lambda/alpha is 5.423426940134295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2741977844108768 the lambda is 2.0 the regulation term lambda/alpha is 7.29400496177264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29897833612703795 the lambda is 2.0 the regulation term lambda/alpha is 6.689447890800309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2910190849658939 the lambda is 2.0 the regulation term lambda/alpha is 6.872401513579052 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298226173964489 the lambda is 2.0 the regulation term lambda/alpha is 6.706319480322167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32051630523218444 the lambda is 2.0 the regulation term lambda/alpha is 6.239932157433254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3664648238969957 the lambda is 2.0 the regulation term lambda/alpha is 5.457549728052893 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3085331504680304 the lambda is 2.0 the regulation term lambda/alpha is 6.482285605180815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2840009273974953 the lambda is 2.0 the regulation term lambda/alpha is 7.042230524834683 640 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29809673095591865 the lambda is 2.0 the regulation term lambda/alpha is 6.709231575893235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34377329375839794 the lambda is 2.0 the regulation term lambda/alpha is 5.817787583597432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3569649557806185 the lambda is 2.0 the regulation term lambda/alpha is 5.6027908835654685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32110218027893284 the lambda is 2.0 the regulation term lambda/alpha is 6.2285469325142975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3869207620922695 the lambda is 2.0 the regulation term lambda/alpha is 5.169017007991568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31654121151780085 the lambda is 2.0 the regulation term lambda/alpha is 6.318292617918817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34414643202113315 the lambda is 2.0 the regulation term lambda/alpha is 5.8114796897768946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3544731635609278 the lambda is 2.0 the regulation term lambda/alpha is 5.642176067459151 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27434401176258305 the lambda is 2.0 the regulation term lambda/alpha is 7.290117204128361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29147856920929105 the lambda is 2.0 the regulation term lambda/alpha is 6.861567920500993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3705051576560013 the lambda is 2.0 the regulation term lambda/alpha is 5.39803551630155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32850062227100807 the lambda is 2.0 the regulation term lambda/alpha is 6.0882685279969735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33859524390517737 the lambda is 2.0 the regulation term lambda/alpha is 5.906757510628514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3222788252198641 the lambda is 2.0 the regulation term lambda/alpha is 6.2058064119960905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30035721087543915 the lambda is 2.0 the regulation term lambda/alpha is 6.658738087794463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30953391826234544 the lambda is 2.0 the regulation term lambda/alpha is 6.4613274410363655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33431242046564313 the lambda is 2.0 the regulation term lambda/alpha is 5.982428045043386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3107332484262363 the lambda is 2.0 the regulation term lambda/alpha is 6.4363888001343765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32930685157823997 the lambda is 2.0 the regulation term lambda/alpha is 6.07336285417317 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3382174288363868 the lambda is 2.0 the regulation term lambda/alpha is 5.913355816348256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31975990226084844 the lambda is 2.0 the regulation term lambda/alpha is 6.254692930098763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2886307132893152 the lambda is 2.0 the regulation term lambda/alpha is 6.929269505685824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3274839979704058 the lambda is 2.0 the regulation term lambda/alpha is 6.107168632345624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.321133498787891 the lambda is 2.0 the regulation term lambda/alpha is 6.2279394941634605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3127926832620193 the lambda is 2.0 the regulation term lambda/alpha is 6.394011455583331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3257375015851008 the lambda is 2.0 the regulation term lambda/alpha is 6.13991324384702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3303284730987507 the lambda is 2.0 the regulation term lambda/alpha is 6.054579495489346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31749818710889594 the lambda is 2.0 the regulation term lambda/alpha is 6.299248566462011 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30238940369681033 the lambda is 2.0 the regulation term lambda/alpha is 6.613988372440765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2646616028241027 the lambda is 2.0 the regulation term lambda/alpha is 7.556819646895375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33204109076894317 the lambda is 2.0 the regulation term lambda/alpha is 6.02335089120562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2927775010007394 the lambda is 2.0 the regulation term lambda/alpha is 6.831126002386874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3564998025507913 the lambda is 2.0 the regulation term lambda/alpha is 5.610101283899184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34788104949404214 the lambda is 2.0 the regulation term lambda/alpha is 5.74909154410336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3638647289850397 the lambda is 2.0 the regulation term lambda/alpha is 5.496548141884426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3369375862420343 the lambda is 2.0 the regulation term lambda/alpha is 5.935817438198565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031987913291241 the lambda is 2.0 the regulation term lambda/alpha is 6.596332364098998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2829293532552244 the lambda is 2.0 the regulation term lambda/alpha is 7.068902455645327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3353143970434954 the lambda is 2.0 the regulation term lambda/alpha is 5.964551530248102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2741874129105659 the lambda is 2.0 the regulation term lambda/alpha is 7.294280867124843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2855251779619596 the lambda is 2.0 the regulation term lambda/alpha is 7.0046362085324025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31228045294319673 the lambda is 2.0 the regulation term lambda/alpha is 6.404499484839023 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32452998908718417 the lambda is 2.0 the regulation term lambda/alpha is 6.162758657914678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31054735345702716 the lambda is 2.0 the regulation term lambda/alpha is 6.440241649899475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3904401611564747 the lambda is 2.0 the regulation term lambda/alpha is 5.122423866633101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2879576465077078 the lambda is 2.0 the regulation term lambda/alpha is 6.945465849771994 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32667802428500714 the lambda is 2.0 the regulation term lambda/alpha is 6.1222361203431275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3390066755732855 the lambda is 2.0 the regulation term lambda/alpha is 5.899588840301894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2815232310470853 the lambda is 2.0 the regulation term lambda/alpha is 7.104209455686078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3224197750802246 the lambda is 2.0 the regulation term lambda/alpha is 6.2030934656609045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3382717476910925 the lambda is 2.0 the regulation term lambda/alpha is 5.912406264050129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33599044664580613 the lambda is 2.0 the regulation term lambda/alpha is 5.952550198870258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3037948797186769 the lambda is 2.0 the regulation term lambda/alpha is 6.583389429907639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34384875198224035 the lambda is 2.0 the regulation term lambda/alpha is 5.8165108597029285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3005903576044734 the lambda is 2.0 the regulation term lambda/alpha is 6.653573374538066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34196231929651444 the lambda is 2.0 the regulation term lambda/alpha is 5.848597600210468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32384966991055625 the lambda is 2.0 the regulation term lambda/alpha is 6.175704920595961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.45367665713784183 the lambda is 2.0 the regulation term lambda/alpha is 4.408426064099513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.360139318503715 the lambda is 2.0 the regulation term lambda/alpha is 5.553406410356633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30221872297233365 the lambda is 2.0 the regulation term lambda/alpha is 6.617723681477829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30903190272494824 the lambda is 2.0 the regulation term lambda/alpha is 6.471823725526767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3105332383622215 the lambda is 2.0 the regulation term lambda/alpha is 6.440534387069702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40229915586699183 the lambda is 2.0 the regulation term lambda/alpha is 4.9714247987665185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29662905055020156 the lambda is 2.0 the regulation term lambda/alpha is 6.7424279459152965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3070322182884552 the lambda is 2.0 the regulation term lambda/alpha is 6.513974367735604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3174262649734852 the lambda is 2.0 the regulation term lambda/alpha is 6.300675844095829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31429684471412317 the lambda is 2.0 the regulation term lambda/alpha is 6.363411003438968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3586485024537427 the lambda is 2.0 the regulation term lambda/alpha is 5.576490592646357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.29812490724808954 the lambda is 2.0 the regulation term lambda/alpha is 6.708597475002875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32829900342738344 the lambda is 2.0 the regulation term lambda/alpha is 6.092007527041978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35836548557220765 the lambda is 2.0 the regulation term lambda/alpha is 5.580894590913434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28885428512100114 the lambda is 2.0 the regulation term lambda/alpha is 6.923906284312865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3212042701389527 the lambda is 2.0 the regulation term lambda/alpha is 6.226567284223219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32479689382151805 the lambda is 2.0 the regulation term lambda/alpha is 6.157694356212154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.360117270446623 the lambda is 2.0 the regulation term lambda/alpha is 5.553746415770532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3554096917440389 the lambda is 2.0 the regulation term lambda/alpha is 5.627308558148076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2804857352959647 the lambda is 2.0 the regulation term lambda/alpha is 7.130487394981522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32957130083365327 the lambda is 2.0 the regulation term lambda/alpha is 6.068489564901385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3221319582058672 the lambda is 2.0 the regulation term lambda/alpha is 6.208635775038021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.353231373847111 the lambda is 2.0 the regulation term lambda/alpha is 5.66201121439926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3269932100009375 the lambda is 2.0 the regulation term lambda/alpha is 6.116334953848938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3267830498805621 the lambda is 2.0 the regulation term lambda/alpha is 6.12026848005425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30310308306427286 the lambda is 2.0 the regulation term lambda/alpha is 6.59841523148051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.3493446018848136 the lambda is 2.0 the regulation term lambda/alpha is 5.72500616643117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298813502177572 the lambda is 2.0 the regulation term lambda/alpha is 6.693137978790149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031289609816129 the lambda is 2.0 the regulation term lambda/alpha is 6.597851929170553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33361777995860825 the lambda is 2.0 the regulation term lambda/alpha is 5.994884326153536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31965116873872723 the lambda is 2.0 the regulation term lambda/alpha is 6.256820545632783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38658394105749755 the lambda is 2.0 the regulation term lambda/alpha is 5.173520644776435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.305131302209542 the lambda is 2.0 the regulation term lambda/alpha is 6.554555319357387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3323214954159996 the lambda is 2.0 the regulation term lambda/alpha is 6.0182685369070175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27239484591800267 the lambda is 2.0 the regulation term lambda/alpha is 7.3422828293970275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3327626604686837 the lambda is 2.0 the regulation term lambda/alpha is 6.010289727768961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30304286871450636 the lambda is 2.0 the regulation term lambda/alpha is 6.599726330746228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34189739144355075 the lambda is 2.0 the regulation term lambda/alpha is 5.849708275209849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29233485644846413 the lambda is 2.0 the regulation term lambda/alpha is 6.841469485704593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28332396341901467 the lambda is 2.0 the regulation term lambda/alpha is 7.059056974443604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2760248689273665 the lambda is 2.0 the regulation term lambda/alpha is 7.2457239370206254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29770985787054804 the lambda is 2.0 the regulation term lambda/alpha is 6.717950202608513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30383516504826275 the lambda is 2.0 the regulation term lambda/alpha is 6.582516542093835 650 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2986765504710362 the lambda is 2.0 the regulation term lambda/alpha is 6.696206973215152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39980366037803566 the lambda is 2.0 the regulation term lambda/alpha is 5.002455450530126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33632422584805405 the lambda is 2.0 the regulation term lambda/alpha is 5.946642692648517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34547081969780846 the lambda is 2.0 the regulation term lambda/alpha is 5.789200956970686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2939799017693772 the lambda is 2.0 the regulation term lambda/alpha is 6.803186163280542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3088587083469804 the lambda is 2.0 the regulation term lambda/alpha is 6.475452839597919 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36339019316612137 the lambda is 2.0 the regulation term lambda/alpha is 5.50372585064703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3086376200384549 the lambda is 2.0 the regulation term lambda/alpha is 6.480091441058963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3378269095938716 the lambda is 2.0 the regulation term lambda/alpha is 5.920191503999364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28705929196502855 the lambda is 2.0 the regulation term lambda/alpha is 6.967201745358074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25898542264536584 the lambda is 2.0 the regulation term lambda/alpha is 7.7224423659498465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30775975574061293 the lambda is 2.0 the regulation term lambda/alpha is 6.498575472244807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3332572387970074 the lambda is 2.0 the regulation term lambda/alpha is 6.001370014405699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2624012094200992 the lambda is 2.0 the regulation term lambda/alpha is 7.621916089563594 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28767397587089094 the lambda is 2.0 the regulation term lambda/alpha is 6.952314660877099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30402468166326047 the lambda is 2.0 the regulation term lambda/alpha is 6.578413269141128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32601157081631077 the lambda is 2.0 the regulation term lambda/alpha is 6.134751582565417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2811201878460668 the lambda is 2.0 the regulation term lambda/alpha is 7.114394790797243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30633738772131974 the lambda is 2.0 the regulation term lambda/alpha is 6.528749281558259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3619552081528497 the lambda is 2.0 the regulation term lambda/alpha is 5.525545578433622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2931841073599488 the lambda is 2.0 the regulation term lambda/alpha is 6.821652162559256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3453295605997376 the lambda is 2.0 the regulation term lambda/alpha is 5.791569063843183 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3291958313774154 the lambda is 2.0 the regulation term lambda/alpha is 6.0754110756252135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3098965629763495 the lambda is 2.0 the regulation term lambda/alpha is 6.453766317352267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2962886411893113 the lambda is 2.0 the regulation term lambda/alpha is 6.7501743974117305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3106771630737371 the lambda is 2.0 the regulation term lambda/alpha is 6.437550736631755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3120284914601364 the lambda is 2.0 the regulation term lambda/alpha is 6.409671086896603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34849366808058385 the lambda is 2.0 the regulation term lambda/alpha is 5.738985190220244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32526165976966487 the lambda is 2.0 the regulation term lambda/alpha is 6.148895635029062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3281205720222838 the lambda is 2.0 the regulation term lambda/alpha is 6.095320350301514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31839181648202275 the lambda is 2.0 the regulation term lambda/alpha is 6.281568484072283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3155611980375685 the lambda is 2.0 the regulation term lambda/alpha is 6.337914840093534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.350606526344701 the lambda is 2.0 the regulation term lambda/alpha is 5.704400373978456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31406214125977644 the lambda is 2.0 the regulation term lambda/alpha is 6.368166478065564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3400472590339826 the lambda is 2.0 the regulation term lambda/alpha is 5.881535424463252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29851209504337056 the lambda is 2.0 the regulation term lambda/alpha is 6.69989602836502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3116386609992171 the lambda is 2.0 the regulation term lambda/alpha is 6.4176889785989175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33306139734883616 the lambda is 2.0 the regulation term lambda/alpha is 6.00489884423704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3417118219162675 the lambda is 2.0 the regulation term lambda/alpha is 5.852885009316642 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3580461870341204 the lambda is 2.0 the regulation term lambda/alpha is 5.585871522797163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2884336024257486 the lambda is 2.0 the regulation term lambda/alpha is 6.934004856507173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34336341042363294 the lambda is 2.0 the regulation term lambda/alpha is 5.82473245338649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3003074676490003 the lambda is 2.0 the regulation term lambda/alpha is 6.659841047767757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31124770388486417 the lambda is 2.0 the regulation term lambda/alpha is 6.425750214497435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26533397039981593 the lambda is 2.0 the regulation term lambda/alpha is 7.53767034423191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3389930954551651 the lambda is 2.0 the regulation term lambda/alpha is 5.899825178783082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3164726782839436 the lambda is 2.0 the regulation term lambda/alpha is 6.3196608656548 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34695816434296983 the lambda is 2.0 the regulation term lambda/alpha is 5.764383737121085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30748953592734707 the lambda is 2.0 the regulation term lambda/alpha is 6.504286378293392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3233935026997152 the lambda is 2.0 the regulation term lambda/alpha is 6.184416147213342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3214190251814326 the lambda is 2.0 the regulation term lambda/alpha is 6.222407024198559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29958361240082876 the lambda is 2.0 the regulation term lambda/alpha is 6.675932585137849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33860505332701846 the lambda is 2.0 the regulation term lambda/alpha is 5.9065863912799825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29744402809942216 the lambda is 2.0 the regulation term lambda/alpha is 6.723954126022964 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2631335390632276 the lambda is 2.0 the regulation term lambda/alpha is 7.600703456960026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28796238948804986 the lambda is 2.0 the regulation term lambda/alpha is 6.945351452165936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3885811181911776 the lambda is 2.0 the regulation term lambda/alpha is 5.146930476987362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32204383830861105 the lambda is 2.0 the regulation term lambda/alpha is 6.210334625571758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32202725949408284 the lambda is 2.0 the regulation term lambda/alpha is 6.21065435001396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35285654346938805 the lambda is 2.0 the regulation term lambda/alpha is 5.668025822435993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.279974437968743 the lambda is 2.0 the regulation term lambda/alpha is 7.143509295028158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36708022475884794 the lambda is 2.0 the regulation term lambda/alpha is 5.448400281747384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30690059128445196 the lambda is 2.0 the regulation term lambda/alpha is 6.516768154891864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3266317409185276 the lambda is 2.0 the regulation term lambda/alpha is 6.123103634618486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3133541126394673 the lambda is 2.0 the regulation term lambda/alpha is 6.382555451892601 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3619197656386496 the lambda is 2.0 the regulation term lambda/alpha is 5.526086690708277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30540462760868703 the lambda is 2.0 the regulation term lambda/alpha is 6.548689244363995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2850955358739449 the lambda is 2.0 the regulation term lambda/alpha is 7.015192271843571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33276554251621865 the lambda is 2.0 the regulation term lambda/alpha is 6.010237673278693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29002795962106576 the lambda is 2.0 the regulation term lambda/alpha is 6.895886874538192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3559148279993394 the lambda is 2.0 the regulation term lambda/alpha is 5.619321935088673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30015357983988566 the lambda is 2.0 the regulation term lambda/alpha is 6.6632555276098415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2894156298612869 the lambda is 2.0 the regulation term lambda/alpha is 6.910476814809807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3140705659528302 the lambda is 2.0 the regulation term lambda/alpha is 6.367995657066371 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2686345323952803 the lambda is 2.0 the regulation term lambda/alpha is 7.445059211736467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3243560403465239 the lambda is 2.0 the regulation term lambda/alpha is 6.166063680711208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3462453402384513 the lambda is 2.0 the regulation term lambda/alpha is 5.776251020801162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.329022720690789 the lambda is 2.0 the regulation term lambda/alpha is 6.078607567893685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3304373231839032 the lambda is 2.0 the regulation term lambda/alpha is 6.052585043145718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27501734675690453 the lambda is 2.0 the regulation term lambda/alpha is 7.272268544456054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2668472503962174 the lambda is 2.0 the regulation term lambda/alpha is 7.494924519665767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.282763819821543 the lambda is 2.0 the regulation term lambda/alpha is 7.073040678479423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3513585800733393 the lambda is 2.0 the regulation term lambda/alpha is 5.692190580866244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3113198792457437 the lambda is 2.0 the regulation term lambda/alpha is 6.424260490032114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31454455453065366 the lambda is 2.0 the regulation term lambda/alpha is 6.358399696298324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32023338888722147 the lambda is 2.0 the regulation term lambda/alpha is 6.24544494548116 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3011465457621374 the lambda is 2.0 the regulation term lambda/alpha is 6.641284876565423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31992833903730256 the lambda is 2.0 the regulation term lambda/alpha is 6.251399941681337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3560741002972609 the lambda is 2.0 the regulation term lambda/alpha is 5.6168084068185316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3448005601687763 the lambda is 2.0 the regulation term lambda/alpha is 5.8004546135917545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2867563019132145 the lambda is 2.0 the regulation term lambda/alpha is 6.974563371950901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3187531846408164 the lambda is 2.0 the regulation term lambda/alpha is 6.274447115732125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32869521901493753 the lambda is 2.0 the regulation term lambda/alpha is 6.084664103097618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31064117907439615 the lambda is 2.0 the regulation term lambda/alpha is 6.4382964485240235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32478004704675717 the lambda is 2.0 the regulation term lambda/alpha is 6.158013764041572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35273878780329215 the lambda is 2.0 the regulation term lambda/alpha is 5.669917993581464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31478832058137285 the lambda is 2.0 the regulation term lambda/alpha is 6.353475873267031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32216677992126264 the lambda is 2.0 the regulation term lambda/alpha is 6.2079647084929075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.317893659690284 the lambda is 2.0 the regulation term lambda/alpha is 6.291412046243863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28071661165633677 the lambda is 2.0 the regulation term lambda/alpha is 7.12462290065139 660 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2948930920684975 the lambda is 2.0 the regulation term lambda/alpha is 6.7821188552475205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3216246743152204 the lambda is 2.0 the regulation term lambda/alpha is 6.218428372320168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3609606018565919 the lambda is 2.0 the regulation term lambda/alpha is 5.540770903287089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2682744391490696 the lambda is 2.0 the regulation term lambda/alpha is 7.455052394643823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30032918536350683 the lambda is 2.0 the regulation term lambda/alpha is 6.659359454457539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28645377400861627 the lambda is 2.0 the regulation term lambda/alpha is 6.981929307518364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3304913646020363 the lambda is 2.0 the regulation term lambda/alpha is 6.051595334142286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33009508936620213 the lambda is 2.0 the regulation term lambda/alpha is 6.058860202495265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3358350408677498 the lambda is 2.0 the regulation term lambda/alpha is 5.955304708026553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3576724959857817 the lambda is 2.0 the regulation term lambda/alpha is 5.59170756053746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3416804731108216 the lambda is 2.0 the regulation term lambda/alpha is 5.853422005041869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3249103217427737 the lambda is 2.0 the regulation term lambda/alpha is 6.155544672364605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3002490194407073 the lambda is 2.0 the regulation term lambda/alpha is 6.661137490891812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31578901214166266 the lambda is 2.0 the regulation term lambda/alpha is 6.333342589839072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3214157125867664 the lambda is 2.0 the regulation term lambda/alpha is 6.222471153957972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31232590467064053 the lambda is 2.0 the regulation term lambda/alpha is 6.4035674597951635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32377280410317594 the lambda is 2.0 the regulation term lambda/alpha is 6.177171073833195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3453404624254488 the lambda is 2.0 the regulation term lambda/alpha is 5.7913862336121555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3101873862760668 the lambda is 2.0 the regulation term lambda/alpha is 6.447715440691711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2958798339854808 the lambda is 2.0 the regulation term lambda/alpha is 6.759500886086554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35655646441399 the lambda is 2.0 the regulation term lambda/alpha is 5.609209759489434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2819206967719849 the lambda is 2.0 the regulation term lambda/alpha is 7.0941935902548625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3233959977953959 the lambda is 2.0 the regulation term lambda/alpha is 6.184368432615382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32738459346112975 the lambda is 2.0 the regulation term lambda/alpha is 6.1090229654849635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36275520846203535 the lambda is 2.0 the regulation term lambda/alpha is 5.513359845277901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2943619455903473 the lambda is 2.0 the regulation term lambda/alpha is 6.7943565055223765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3435860627506894 the lambda is 2.0 the regulation term lambda/alpha is 5.820957881668286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32173891098823154 the lambda is 2.0 the regulation term lambda/alpha is 6.216220456073948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191446022252614 the lambda is 2.0 the regulation term lambda/alpha is 6.266751767239174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33126418967490184 the lambda is 2.0 the regulation term lambda/alpha is 6.0374772231274765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3372378068797632 the lambda is 2.0 the regulation term lambda/alpha is 5.93053317036031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3651907938827416 the lambda is 2.0 the regulation term lambda/alpha is 5.476589315781537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30239180976015145 the lambda is 2.0 the regulation term lambda/alpha is 6.613935746428923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29888811942143656 the lambda is 2.0 the regulation term lambda/alpha is 6.691467040815936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27053976584622 the lambda is 2.0 the regulation term lambda/alpha is 7.392628561439793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33668729547010795 the lambda is 2.0 the regulation term lambda/alpha is 5.940230079687001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3444804469798957 the lambda is 2.0 the regulation term lambda/alpha is 5.805844765745797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3066278413288329 the lambda is 2.0 the regulation term lambda/alpha is 6.522564915607797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208365525377574 the lambda is 2.0 the regulation term lambda/alpha is 6.233703685507067 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2827317519786028 the lambda is 2.0 the regulation term lambda/alpha is 7.0738429129507905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31179337816624014 the lambda is 2.0 the regulation term lambda/alpha is 6.41450441238573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32059783571519473 the lambda is 2.0 the regulation term lambda/alpha is 6.238345294934285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3185939710526768 the lambda is 2.0 the regulation term lambda/alpha is 6.277582696846818 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35744574918029526 the lambda is 2.0 the regulation term lambda/alpha is 5.595254677350218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.317912211646278 the lambda is 2.0 the regulation term lambda/alpha is 6.291044907155945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3711297081235371 the lambda is 2.0 the regulation term lambda/alpha is 5.388951507310389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33002728397434417 the lambda is 2.0 the regulation term lambda/alpha is 6.060105018939819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3331338556605416 the lambda is 2.0 the regulation term lambda/alpha is 6.003592748129359 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3560612645106958 the lambda is 2.0 the regulation term lambda/alpha is 5.61701088925926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3023227951900872 the lambda is 2.0 the regulation term lambda/alpha is 6.615445582733807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2739353698495665 the lambda is 2.0 the regulation term lambda/alpha is 7.3009922051990355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31491785547642687 the lambda is 2.0 the regulation term lambda/alpha is 6.350862503411496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3436107702496646 the lambda is 2.0 the regulation term lambda/alpha is 5.820539322870519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31773198774840955 the lambda is 2.0 the regulation term lambda/alpha is 6.294613312851788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35869435510451764 the lambda is 2.0 the regulation term lambda/alpha is 5.575777738172748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36469370565942644 the lambda is 2.0 the regulation term lambda/alpha is 5.484054067737938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32191602442800354 the lambda is 2.0 the regulation term lambda/alpha is 6.212800383434468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3017305500292929 the lambda is 2.0 the regulation term lambda/alpha is 6.628430564309229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31635653333562824 the lambda is 2.0 the regulation term lambda/alpha is 6.321981022210041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.331266897666693 the lambda is 2.0 the regulation term lambda/alpha is 6.037427868848873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29269685463291745 the lambda is 2.0 the regulation term lambda/alpha is 6.833008173279751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3035059782672534 the lambda is 2.0 the regulation term lambda/alpha is 6.589656030560597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30049833999228887 the lambda is 2.0 the regulation term lambda/alpha is 6.655610809867776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27405707783912026 the lambda is 2.0 the regulation term lambda/alpha is 7.297749854773173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3069372525104589 the lambda is 2.0 the regulation term lambda/alpha is 6.515989778503181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3343779165824478 the lambda is 2.0 the regulation term lambda/alpha is 5.981256239769825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3775250426039064 the lambda is 2.0 the regulation term lambda/alpha is 5.297661808619064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31101209008803743 the lambda is 2.0 the regulation term lambda/alpha is 6.430618177685198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28132183059833965 the lambda is 2.0 the regulation term lambda/alpha is 7.109295413534835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3158507474639307 the lambda is 2.0 the regulation term lambda/alpha is 6.3321046920377935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2867241422546516 the lambda is 2.0 the regulation term lambda/alpha is 6.975345655489718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33936128480263045 the lambda is 2.0 the regulation term lambda/alpha is 5.893424175250817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32589706827862086 the lambda is 2.0 the regulation term lambda/alpha is 6.136907001231842 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33853253288522 the lambda is 2.0 the regulation term lambda/alpha is 5.907851700262152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2966187999131092 the lambda is 2.0 the regulation term lambda/alpha is 6.742660952663402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31358184188587457 the lambda is 2.0 the regulation term lambda/alpha is 6.377920315704642 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3329423884298929 the lambda is 2.0 the regulation term lambda/alpha is 6.0070452712005356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31937329173249523 the lambda is 2.0 the regulation term lambda/alpha is 6.262264415257321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3100417845163943 the lambda is 2.0 the regulation term lambda/alpha is 6.450743415503224 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2987499860192989 the lambda is 2.0 the regulation term lambda/alpha is 6.694560982743618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.337154899394705 the lambda is 2.0 the regulation term lambda/alpha is 5.931991507733106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2716891857683322 the lambda is 2.0 the regulation term lambda/alpha is 7.361352989976527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3358105233510696 the lambda is 2.0 the regulation term lambda/alpha is 5.955739504652512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35688167637898094 the lambda is 2.0 the regulation term lambda/alpha is 5.604098311497936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3616396801935989 the lambda is 2.0 the regulation term lambda/alpha is 5.5303665762820255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.336749343870501 the lambda is 2.0 the regulation term lambda/alpha is 5.939135551127049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3263902206427256 the lambda is 2.0 the regulation term lambda/alpha is 6.127634572082498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35021238576329006 the lambda is 2.0 the regulation term lambda/alpha is 5.710820294493548 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32822249597344844 the lambda is 2.0 the regulation term lambda/alpha is 6.093427551540495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31879497301613036 the lambda is 2.0 the regulation term lambda/alpha is 6.273624646831568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3231774422656462 the lambda is 2.0 the regulation term lambda/alpha is 6.188550741595495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3047687777265187 the lambda is 2.0 the regulation term lambda/alpha is 6.562352006394436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2947061457290222 the lambda is 2.0 the regulation term lambda/alpha is 6.786421080743153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2883651744063618 the lambda is 2.0 the regulation term lambda/alpha is 6.935650270936034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3081414601615072 the lambda is 2.0 the regulation term lambda/alpha is 6.490525484469806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2796902491419954 the lambda is 2.0 the regulation term lambda/alpha is 7.150767701539083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2956171636773254 the lambda is 2.0 the regulation term lambda/alpha is 6.7655070332217155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3105892416026643 the lambda is 2.0 the regulation term lambda/alpha is 6.439373075769935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36761647859657925 the lambda is 2.0 the regulation term lambda/alpha is 5.440452527142537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2665669457285779 the lambda is 2.0 the regulation term lambda/alpha is 7.50280570058535 670 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3238994079272559 the lambda is 2.0 the regulation term lambda/alpha is 6.174756578898029 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3421222661808655 the lambda is 2.0 the regulation term lambda/alpha is 5.845863300059766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30947615596609457 the lambda is 2.0 the regulation term lambda/alpha is 6.46253341798363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37741003318631594 the lambda is 2.0 the regulation term lambda/alpha is 5.299276182762901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3268444967918202 the lambda is 2.0 the regulation term lambda/alpha is 6.119117866848701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3143305455314244 the lambda is 2.0 the regulation term lambda/alpha is 6.362728753003277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.313302503757832 the lambda is 2.0 the regulation term lambda/alpha is 6.3836068209206065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35346942881125587 the lambda is 2.0 the regulation term lambda/alpha is 5.658197957108058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2824907092867887 the lambda is 2.0 the regulation term lambda/alpha is 7.079878857076219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2948819667331049 the lambda is 2.0 the regulation term lambda/alpha is 6.7823747316843646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31150771165607455 the lambda is 2.0 the regulation term lambda/alpha is 6.420386799952274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280438972762309 the lambda is 2.0 the regulation term lambda/alpha is 6.096745028961446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27879897759645894 the lambda is 2.0 the regulation term lambda/alpha is 7.173627454598679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35235202345489924 the lambda is 2.0 the regulation term lambda/alpha is 5.676141661936556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2986828702847496 the lambda is 2.0 the regulation term lambda/alpha is 6.6960652885560465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27561989874073484 the lambda is 2.0 the regulation term lambda/alpha is 7.256370128345936 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2904130250551714 the lambda is 2.0 the regulation term lambda/alpha is 6.886743456565175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3483328815356126 the lambda is 2.0 the regulation term lambda/alpha is 5.741634241312719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.307042340011235 the lambda is 2.0 the regulation term lambda/alpha is 6.5137596330421985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35518661089102177 the lambda is 2.0 the regulation term lambda/alpha is 5.6308428827956 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3017248860807479 the lambda is 2.0 the regulation term lambda/alpha is 6.628554992526398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3174599492100812 the lambda is 2.0 the regulation term lambda/alpha is 6.300007307934416 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2985307630676599 the lambda is 2.0 the regulation term lambda/alpha is 6.699477063764829 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2817580449022453 the lambda is 2.0 the regulation term lambda/alpha is 7.098288890717889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27405289824641565 the lambda is 2.0 the regulation term lambda/alpha is 7.297861153074516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3409422914867364 the lambda is 2.0 the regulation term lambda/alpha is 5.866095377251859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32389216413270827 the lambda is 2.0 the regulation term lambda/alpha is 6.174894676305106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26760435548901673 the lambda is 2.0 the regulation term lambda/alpha is 7.473719911416337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3553646183297806 the lambda is 2.0 the regulation term lambda/alpha is 5.628022309592981 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31947076474355085 the lambda is 2.0 the regulation term lambda/alpha is 6.260353749756922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2998938167866809 the lambda is 2.0 the regulation term lambda/alpha is 6.669027129100933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3132222481731051 the lambda is 2.0 the regulation term lambda/alpha is 6.385242464943556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3131658489060903 the lambda is 2.0 the regulation term lambda/alpha is 6.386392408323375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.348838816118838 the lambda is 2.0 the regulation term lambda/alpha is 5.73330692453292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32065895673296185 the lambda is 2.0 the regulation term lambda/alpha is 6.237156199773826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29836973653127763 the lambda is 2.0 the regulation term lambda/alpha is 6.703092690469106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3408012048402524 the lambda is 2.0 the regulation term lambda/alpha is 5.868523853774175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.280216907655963 the lambda is 2.0 the regulation term lambda/alpha is 7.137328067496572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114044676458637 the lambda is 2.0 the regulation term lambda/alpha is 6.4225154350529285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31113975498095725 the lambda is 2.0 the regulation term lambda/alpha is 6.427979607178152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34621029510425105 the lambda is 2.0 the regulation term lambda/alpha is 5.776835721761997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3483316500745314 the lambda is 2.0 the regulation term lambda/alpha is 5.74165453978146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2914928666976378 the lambda is 2.0 the regulation term lambda/alpha is 6.861231366167794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2925321289736112 the lambda is 2.0 the regulation term lambda/alpha is 6.83685585927697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36168735570367594 the lambda is 2.0 the regulation term lambda/alpha is 5.529637595732168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2875439025917329 the lambda is 2.0 the regulation term lambda/alpha is 6.955459607987881 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3052875212053966 the lambda is 2.0 the regulation term lambda/alpha is 6.551201281019297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33138596385544056 the lambda is 2.0 the regulation term lambda/alpha is 6.035258635373143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31806688270525146 the lambda is 2.0 the regulation term lambda/alpha is 6.287985668263913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32293016411897024 the lambda is 2.0 the regulation term lambda/alpha is 6.193289516501106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3189524800098883 the lambda is 2.0 the regulation term lambda/alpha is 6.270526568528313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2885382325553567 the lambda is 2.0 the regulation term lambda/alpha is 6.93149043815639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3512411265569942 the lambda is 2.0 the regulation term lambda/alpha is 5.694094024822204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3219832333457322 the lambda is 2.0 the regulation term lambda/alpha is 6.211503559418211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31808254030172617 the lambda is 2.0 the regulation term lambda/alpha is 6.287676142496987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2841311520277866 the lambda is 2.0 the regulation term lambda/alpha is 7.039002889075711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2943279381935564 the lambda is 2.0 the regulation term lambda/alpha is 6.7951415427126625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996054170577079 the lambda is 2.0 the regulation term lambda/alpha is 6.675446724699154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32719027281428953 the lambda is 2.0 the regulation term lambda/alpha is 6.112651157985932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38797411257501424 the lambda is 2.0 the regulation term lambda/alpha is 5.154983116594675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316055145860309 the lambda is 2.0 the regulation term lambda/alpha is 6.328009609069824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34795377226627244 the lambda is 2.0 the regulation term lambda/alpha is 5.74788997680271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3419798955933341 the lambda is 2.0 the regulation term lambda/alpha is 5.84829700743082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28627779282433735 the lambda is 2.0 the regulation term lambda/alpha is 6.986221251283777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34247097829265394 the lambda is 2.0 the regulation term lambda/alpha is 5.839910902730353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29393016574990416 the lambda is 2.0 the regulation term lambda/alpha is 6.804337332636135 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.306275232445135 the lambda is 2.0 the regulation term lambda/alpha is 6.530074221258725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28455552654896743 the lambda is 2.0 the regulation term lambda/alpha is 7.028505206894416 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2785664118330591 the lambda is 2.0 the regulation term lambda/alpha is 7.179616475795982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32555957411332587 the lambda is 2.0 the regulation term lambda/alpha is 6.143268879273717 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3137529535115401 the lambda is 2.0 the regulation term lambda/alpha is 6.374441985695725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34426671743890525 the lambda is 2.0 the regulation term lambda/alpha is 5.809449181955635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32498304889756674 the lambda is 2.0 the regulation term lambda/alpha is 6.15416713820785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30396864578981836 the lambda is 2.0 the regulation term lambda/alpha is 6.579625983473692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31523829762389227 the lambda is 2.0 the regulation term lambda/alpha is 6.3444068029645955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29022830829565743 the lambda is 2.0 the regulation term lambda/alpha is 6.89112654704443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3352412762272502 the lambda is 2.0 the regulation term lambda/alpha is 5.96585248244986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3152385565199381 the lambda is 2.0 the regulation term lambda/alpha is 6.344401592492081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2950877522657758 the lambda is 2.0 the regulation term lambda/alpha is 6.777644902722583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.322311756307627 the lambda is 2.0 the regulation term lambda/alpha is 6.205172355212267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3009667217107991 the lambda is 2.0 the regulation term lambda/alpha is 6.6452529656146275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3897679105927451 the lambda is 2.0 the regulation term lambda/alpha is 5.131258745642943 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.376377099918689 the lambda is 2.0 the regulation term lambda/alpha is 5.313819571998594 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3630664040220081 the lambda is 2.0 the regulation term lambda/alpha is 5.50863417227325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3108624861195322 the lambda is 2.0 the regulation term lambda/alpha is 6.433712941583321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3126908852834321 the lambda is 2.0 the regulation term lambda/alpha is 6.396093055885342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3400311714885378 the lambda is 2.0 the regulation term lambda/alpha is 5.881813691505688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3156682030146569 the lambda is 2.0 the regulation term lambda/alpha is 6.335766418346346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31682029477704293 the lambda is 2.0 the regulation term lambda/alpha is 6.312726908506499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3285980305877172 the lambda is 2.0 the regulation term lambda/alpha is 6.086463745454836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3067564757363195 the lambda is 2.0 the regulation term lambda/alpha is 6.519829761374466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30470875488503923 the lambda is 2.0 the regulation term lambda/alpha is 6.563644686725728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33393605492918355 the lambda is 2.0 the regulation term lambda/alpha is 5.989170592627777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3068596661665696 the lambda is 2.0 the regulation term lambda/alpha is 6.517637280209904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32715081413705926 the lambda is 2.0 the regulation term lambda/alpha is 6.113388423854277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36599048315343785 the lambda is 2.0 the regulation term lambda/alpha is 5.4646229671538205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3590657669476822 the lambda is 2.0 the regulation term lambda/alpha is 5.570010243531265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29690002294518447 the lambda is 2.0 the regulation term lambda/alpha is 6.73627431941712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.293062801967302 the lambda is 2.0 the regulation term lambda/alpha is 6.824475800320597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34677654004242686 the lambda is 2.0 the regulation term lambda/alpha is 5.767402834561148 680 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33692804835732626 the lambda is 2.0 the regulation term lambda/alpha is 5.935985471529864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27466706844554867 the lambda is 2.0 the regulation term lambda/alpha is 7.2815427467107865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35794150661799046 the lambda is 2.0 the regulation term lambda/alpha is 5.587505117517652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2989436826887791 the lambda is 2.0 the regulation term lambda/alpha is 6.690223329061405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37204459573076915 the lambda is 2.0 the regulation term lambda/alpha is 5.3756996417905345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34920683086975063 the lambda is 2.0 the regulation term lambda/alpha is 5.727264827605771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28365902773393054 the lambda is 2.0 the regulation term lambda/alpha is 7.050718660278216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28970869007916 the lambda is 2.0 the regulation term lambda/alpha is 6.903486393361276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33769083912059156 the lambda is 2.0 the regulation term lambda/alpha is 5.922577009220517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31735119138648565 the lambda is 2.0 the regulation term lambda/alpha is 6.302166351612347 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32594353141419136 the lambda is 2.0 the regulation term lambda/alpha is 6.136032187300899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3320186188452253 the lambda is 2.0 the regulation term lambda/alpha is 6.02375856798659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33326911808364235 the lambda is 2.0 the regulation term lambda/alpha is 6.001156097211651 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29413040645876093 the lambda is 2.0 the regulation term lambda/alpha is 6.799705015470455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3506704361349024 the lambda is 2.0 the regulation term lambda/alpha is 5.703360745331274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34425515362711473 the lambda is 2.0 the regulation term lambda/alpha is 5.80964432609869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3098454880438678 the lambda is 2.0 the regulation term lambda/alpha is 6.454830156238521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3172749839527781 the lambda is 2.0 the regulation term lambda/alpha is 6.303680091896788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32566505960856784 the lambda is 2.0 the regulation term lambda/alpha is 6.14127902576928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3706214792720278 the lambda is 2.0 the regulation term lambda/alpha is 5.396341312781942 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30079020977669685 the lambda is 2.0 the regulation term lambda/alpha is 6.649152582076314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33480500693572457 the lambda is 2.0 the regulation term lambda/alpha is 5.9736263155226865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3236654862098579 the lambda is 2.0 the regulation term lambda/alpha is 6.17921924089009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3343148558122889 the lambda is 2.0 the regulation term lambda/alpha is 5.982384465508047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31904737337440214 the lambda is 2.0 the regulation term lambda/alpha is 6.268661543415998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078383293460459 the lambda is 2.0 the regulation term lambda/alpha is 6.496916755781145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3314131689697095 the lambda is 2.0 the regulation term lambda/alpha is 6.034763211786542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3097812594378434 the lambda is 2.0 the regulation term lambda/alpha is 6.45616847071181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34626918941137014 the lambda is 2.0 the regulation term lambda/alpha is 5.775853183472199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3056152257754112 the lambda is 2.0 the regulation term lambda/alpha is 6.544176570148205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29233090128366346 the lambda is 2.0 the regulation term lambda/alpha is 6.841562049094834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28342472018754816 the lambda is 2.0 the regulation term lambda/alpha is 7.056547497609092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36051319855421204 the lambda is 2.0 the regulation term lambda/alpha is 5.547647098693533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29742051515180884 the lambda is 2.0 the regulation term lambda/alpha is 6.724485696553796 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29696167281770813 the lambda is 2.0 the regulation term lambda/alpha is 6.734875854594586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3263283216606485 the lambda is 2.0 the regulation term lambda/alpha is 6.12879688107432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32496985894973063 the lambda is 2.0 the regulation term lambda/alpha is 6.154416924892036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2948288556526603 the lambda is 2.0 the regulation term lambda/alpha is 6.783596522710153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3292476345638227 the lambda is 2.0 the regulation term lambda/alpha is 6.074455182189963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149095623314081 the lambda is 2.0 the regulation term lambda/alpha is 6.351029753409702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31378942292799555 the lambda is 2.0 the regulation term lambda/alpha is 6.37370113159912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34412301163851544 the lambda is 2.0 the regulation term lambda/alpha is 5.811875208452793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28589549125898994 the lambda is 2.0 the regulation term lambda/alpha is 6.995563278009934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3473616203745734 the lambda is 2.0 the regulation term lambda/alpha is 5.757688479928563 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.380587116079863 the lambda is 2.0 the regulation term lambda/alpha is 5.255038637672424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37332674585126613 the lambda is 2.0 the regulation term lambda/alpha is 5.357237385817523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31553235824132825 the lambda is 2.0 the regulation term lambda/alpha is 6.338494128295844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3107914138134381 the lambda is 2.0 the regulation term lambda/alpha is 6.435184213938935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32305379540253837 the lambda is 2.0 the regulation term lambda/alpha is 6.190919371518039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27203420982590126 the lambda is 2.0 the regulation term lambda/alpha is 7.352016502924308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3293898246044584 the lambda is 2.0 the regulation term lambda/alpha is 6.071832979059576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30909613848675616 the lambda is 2.0 the regulation term lambda/alpha is 6.470478763634551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39987850247196904 the lambda is 2.0 the regulation term lambda/alpha is 5.001519180542088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3041768057348149 the lambda is 2.0 the regulation term lambda/alpha is 6.575123291102033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36137086076652675 the lambda is 2.0 the regulation term lambda/alpha is 5.534480549310679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3210557240134783 the lambda is 2.0 the regulation term lambda/alpha is 6.229448193597811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3281674175035149 the lambda is 2.0 the regulation term lambda/alpha is 6.094450251078258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3201586526310209 the lambda is 2.0 the regulation term lambda/alpha is 6.246902851334075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.361831159307132 the lambda is 2.0 the regulation term lambda/alpha is 5.52743993588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2796600561735735 the lambda is 2.0 the regulation term lambda/alpha is 7.151539720633834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3148140945077088 the lambda is 2.0 the regulation term lambda/alpha is 6.352955712251398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34830332482488685 the lambda is 2.0 the regulation term lambda/alpha is 5.742121471293795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3160531680143666 the lambda is 2.0 the regulation term lambda/alpha is 6.328049209457971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3700650472357752 the lambda is 2.0 the regulation term lambda/alpha is 5.404455284115939 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077295877821017 the lambda is 2.0 the regulation term lambda/alpha is 6.499212553510349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2965379575472255 the lambda is 2.0 the regulation term lambda/alpha is 6.744499141164711 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3334699782445263 the lambda is 2.0 the regulation term lambda/alpha is 5.997541399464282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2963860769392043 the lambda is 2.0 the regulation term lambda/alpha is 6.747955304291323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29971148262901987 the lambda is 2.0 the regulation term lambda/alpha is 6.6730843358296745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30421394947736646 the lambda is 2.0 the regulation term lambda/alpha is 6.574320485421397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2643891691849025 the lambda is 2.0 the regulation term lambda/alpha is 7.5646063950573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3359643096143357 the lambda is 2.0 the regulation term lambda/alpha is 5.953013289702899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28623283301727437 the lambda is 2.0 the regulation term lambda/alpha is 6.9873186067347435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33414432088898866 the lambda is 2.0 the regulation term lambda/alpha is 5.985437653643234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32647244558365685 the lambda is 2.0 the regulation term lambda/alpha is 6.126091273719792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.376128669107236 the lambda is 2.0 the regulation term lambda/alpha is 5.317329319105401 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3441905580710627 the lambda is 2.0 the regulation term lambda/alpha is 5.810734644228892 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31683394976558055 the lambda is 2.0 the regulation term lambda/alpha is 6.312454841028754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3318702234975635 the lambda is 2.0 the regulation term lambda/alpha is 6.026452083956497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31235755134755067 the lambda is 2.0 the regulation term lambda/alpha is 6.402918678840139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3202092009168377 the lambda is 2.0 the regulation term lambda/alpha is 6.245916714052901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3393175236716002 the lambda is 2.0 the regulation term lambda/alpha is 5.894184238877238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33009918959249107 the lambda is 2.0 the regulation term lambda/alpha is 6.05878494421331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32873853530982666 the lambda is 2.0 the regulation term lambda/alpha is 6.083862356188504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.280388301661739 the lambda is 2.0 the regulation term lambda/alpha is 7.132965206275988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3224780475363719 the lambda is 2.0 the regulation term lambda/alpha is 6.201972553726847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28833244937944985 the lambda is 2.0 the regulation term lambda/alpha is 6.936437450257185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.296691700786383 the lambda is 2.0 the regulation term lambda/alpha is 6.741004196271715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.321311793515634 the lambda is 2.0 the regulation term lambda/alpha is 6.2244836335354945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2991175244485412 the lambda is 2.0 the regulation term lambda/alpha is 6.686335090821704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3250241810862506 the lambda is 2.0 the regulation term lambda/alpha is 6.15338832118853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30403082516415847 the lambda is 2.0 the regulation term lambda/alpha is 6.5782803402257635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33367940303936544 the lambda is 2.0 the regulation term lambda/alpha is 5.993777205853045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3030612742313681 the lambda is 2.0 the regulation term lambda/alpha is 6.599325516176398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30658612062420165 the lambda is 2.0 the regulation term lambda/alpha is 6.523452516141468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31009097662821083 the lambda is 2.0 the regulation term lambda/alpha is 6.449720084560655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3419050514341179 the lambda is 2.0 the regulation term lambda/alpha is 5.84957721920462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33311136696422766 the lambda is 2.0 the regulation term lambda/alpha is 6.003998056946454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2683069319522861 the lambda is 2.0 the regulation term lambda/alpha is 7.454149564632443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2942803049290386 the lambda is 2.0 the regulation term lambda/alpha is 6.796241428668734 690 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3406310009005043 the lambda is 2.0 the regulation term lambda/alpha is 5.871456193689736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3312618378269483 the lambda is 2.0 the regulation term lambda/alpha is 6.037520087190977 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34301527846570573 the lambda is 2.0 the regulation term lambda/alpha is 5.830644072024791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3062778668089047 the lambda is 2.0 the regulation term lambda/alpha is 6.530018054644007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3334474604693614 the lambda is 2.0 the regulation term lambda/alpha is 5.997946414660935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34267927173546137 the lambda is 2.0 the regulation term lambda/alpha is 5.836361183654969 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033117355246411 the lambda is 2.0 the regulation term lambda/alpha is 6.593876087717416 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33785741019004306 the lambda is 2.0 the regulation term lambda/alpha is 5.91965704962638 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3039826413680996 the lambda is 2.0 the regulation term lambda/alpha is 6.579323052786274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38066715858864725 the lambda is 2.0 the regulation term lambda/alpha is 5.2539336658700835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.323287775094472 the lambda is 2.0 the regulation term lambda/alpha is 6.186438690468747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30190783704956914 the lambda is 2.0 the regulation term lambda/alpha is 6.624538201940175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3175740630694985 the lambda is 2.0 the regulation term lambda/alpha is 6.297743526877119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30044443443366964 the lambda is 2.0 the regulation term lambda/alpha is 6.656804955531797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31911670466566294 the lambda is 2.0 the regulation term lambda/alpha is 6.26729961408755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31637470664492234 the lambda is 2.0 the regulation term lambda/alpha is 6.321617872710239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31395930434192 the lambda is 2.0 the regulation term lambda/alpha is 6.370252361821656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29924016132767606 the lambda is 2.0 the regulation term lambda/alpha is 6.683594846114075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32164224786047757 the lambda is 2.0 the regulation term lambda/alpha is 6.218088616479148 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36491871785404734 the lambda is 2.0 the regulation term lambda/alpha is 5.480672550208616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3002441787416477 the lambda is 2.0 the regulation term lambda/alpha is 6.661244885353623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31109080516572585 the lambda is 2.0 the regulation term lambda/alpha is 6.428991043096082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2837478217515177 the lambda is 2.0 the regulation term lambda/alpha is 7.048512258717639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3429129787246231 the lambda is 2.0 the regulation term lambda/alpha is 5.8323835027722986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34733962424363984 the lambda is 2.0 the regulation term lambda/alpha is 5.75805309962882 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316434850834752 the lambda is 2.0 the regulation term lambda/alpha is 6.320416334433517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3692624589151486 the lambda is 2.0 the regulation term lambda/alpha is 5.416201814491986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29707290994287566 the lambda is 2.0 the regulation term lambda/alpha is 6.732354021726792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27510028608063475 the lambda is 2.0 the regulation term lambda/alpha is 7.270076045699855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2954837355770872 the lambda is 2.0 the regulation term lambda/alpha is 6.768562053318941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3147625617385652 the lambda is 2.0 the regulation term lambda/alpha is 6.353995814982455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28971739623529896 the lambda is 2.0 the regulation term lambda/alpha is 6.903278940059455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34125793831748147 the lambda is 2.0 the regulation term lambda/alpha is 5.860669527163778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28739256623698745 the lambda is 2.0 the regulation term lambda/alpha is 6.959122242399184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32103924307227644 the lambda is 2.0 the regulation term lambda/alpha is 6.22976798992058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3225814566394008 the lambda is 2.0 the regulation term lambda/alpha is 6.199984403429951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3172023908249709 the lambda is 2.0 the regulation term lambda/alpha is 6.305122716125995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3205944629192567 the lambda is 2.0 the regulation term lambda/alpha is 6.238410925093581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3310819709264325 the lambda is 2.0 the regulation term lambda/alpha is 6.0408000906953845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38436314550882444 the lambda is 2.0 the regulation term lambda/alpha is 5.203412510719196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33265772850722936 the lambda is 2.0 the regulation term lambda/alpha is 6.01218558478955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3021904802867219 the lambda is 2.0 the regulation term lambda/alpha is 6.618342173129929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33662954693053304 the lambda is 2.0 the regulation term lambda/alpha is 5.941249121583259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.328211386137992 the lambda is 2.0 the regulation term lambda/alpha is 6.09363381183591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3154706279267454 the lambda is 2.0 the regulation term lambda/alpha is 6.339734425178926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3727430354857412 the lambda is 2.0 the regulation term lambda/alpha is 5.365626744423793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34742907436979675 the lambda is 2.0 the regulation term lambda/alpha is 5.756570614096732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3084924370014401 the lambda is 2.0 the regulation term lambda/alpha is 6.483141108547383 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28658290703952094 the lambda is 2.0 the regulation term lambda/alpha is 6.97878328006559 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31651973966181574 the lambda is 2.0 the regulation term lambda/alpha is 6.3187212340591845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2967518650473139 the lambda is 2.0 the regulation term lambda/alpha is 6.739637507185074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34447426815875154 the lambda is 2.0 the regulation term lambda/alpha is 5.805948904950708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3337643934296222 the lambda is 2.0 the regulation term lambda/alpha is 5.992250939199485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3593296949509533 the lambda is 2.0 the regulation term lambda/alpha is 5.565919065700902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2804423585144192 the lambda is 2.0 the regulation term lambda/alpha is 7.13159028684024 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35032325729777936 the lambda is 2.0 the regulation term lambda/alpha is 5.7090129140354895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3044290894310717 the lambda is 2.0 the regulation term lambda/alpha is 6.5696744149439645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3457641984264158 the lambda is 2.0 the regulation term lambda/alpha is 5.784288856689228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34293127223703423 the lambda is 2.0 the regulation term lambda/alpha is 5.8320723769327145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3004656994561469 the lambda is 2.0 the regulation term lambda/alpha is 6.656333829851687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3756681891838723 the lambda is 2.0 the regulation term lambda/alpha is 5.323847101201034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2998928912853294 the lambda is 2.0 the regulation term lambda/alpha is 6.669047710427802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28849085546134345 the lambda is 2.0 the regulation term lambda/alpha is 6.932628754563735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2841742442000811 the lambda is 2.0 the regulation term lambda/alpha is 7.03793549492769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3039561425879344 the lambda is 2.0 the regulation term lambda/alpha is 6.57989663565164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.326097543378767 the lambda is 2.0 the regulation term lambda/alpha is 6.133134212780534 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3135137153096292 the lambda is 2.0 the regulation term lambda/alpha is 6.379306238723179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3097568356506683 the lambda is 2.0 the regulation term lambda/alpha is 6.456677528354926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38004055045790974 the lambda is 2.0 the regulation term lambda/alpha is 5.262596313972827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3331315680428747 the lambda is 2.0 the regulation term lambda/alpha is 6.003633974858234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2869380915549536 the lambda is 2.0 the regulation term lambda/alpha is 6.97014463699033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30021699002695645 the lambda is 2.0 the regulation term lambda/alpha is 6.661848151300232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30604953888841113 the lambda is 2.0 the regulation term lambda/alpha is 6.5348897674020705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29006145559535473 the lambda is 2.0 the regulation term lambda/alpha is 6.89509054519145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3012984320366036 the lambda is 2.0 the regulation term lambda/alpha is 6.637936966618623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3480009245606493 the lambda is 2.0 the regulation term lambda/alpha is 5.747111167951629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33674270952063173 the lambda is 2.0 the regulation term lambda/alpha is 5.939252561242051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31513796218922885 the lambda is 2.0 the regulation term lambda/alpha is 6.3464267716469935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27015227856374996 the lambda is 2.0 the regulation term lambda/alpha is 7.4032320239269955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33877252548564757 the lambda is 2.0 the regulation term lambda/alpha is 5.903666470983438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31086444133960933 the lambda is 2.0 the regulation term lambda/alpha is 6.433672475955733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077981695235056 the lambda is 2.0 the regulation term lambda/alpha is 6.49776443796319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3308795665670532 the lambda is 2.0 the regulation term lambda/alpha is 6.044495345392376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31896197475953975 the lambda is 2.0 the regulation term lambda/alpha is 6.2703399096640515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27301502441278375 the lambda is 2.0 the regulation term lambda/alpha is 7.325604165198285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32854395365481776 the lambda is 2.0 the regulation term lambda/alpha is 6.087465551416859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33067216767471386 the lambda is 2.0 the regulation term lambda/alpha is 6.048286476796632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30881357927394154 the lambda is 2.0 the regulation term lambda/alpha is 6.476399142493165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2912822597737737 the lambda is 2.0 the regulation term lambda/alpha is 6.866192268466034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3179902006723086 the lambda is 2.0 the regulation term lambda/alpha is 6.289501990223327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3137266735969431 the lambda is 2.0 the regulation term lambda/alpha is 6.3749759530153245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2955126425977583 the lambda is 2.0 the regulation term lambda/alpha is 6.767899953175038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30208766520080116 the lambda is 2.0 the regulation term lambda/alpha is 6.620594716009265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3559456733297765 the lambda is 2.0 the regulation term lambda/alpha is 5.618834979199312 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3426448993439747 the lambda is 2.0 the regulation term lambda/alpha is 5.836946657689009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34272443022550164 the lambda is 2.0 the regulation term lambda/alpha is 5.8355921656476735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32271467316108876 the lambda is 2.0 the regulation term lambda/alpha is 6.197425051700901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29808700903533875 the lambda is 2.0 the regulation term lambda/alpha is 6.70945039326721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3120114496800904 the lambda is 2.0 the regulation term lambda/alpha is 6.410021177269703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2964158174957015 the lambda is 2.0 the regulation term lambda/alpha is 6.74727825558433 700 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.313521378269531 the lambda is 2.0 the regulation term lambda/alpha is 6.379150318357624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087010194700221 the lambda is 2.0 the regulation term lambda/alpha is 6.478760593125348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33127760580266974 the lambda is 2.0 the regulation term lambda/alpha is 6.037232716513077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30850672204579305 the lambda is 2.0 the regulation term lambda/alpha is 6.482840914251233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089044580788917 the lambda is 2.0 the regulation term lambda/alpha is 6.474493804453984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32508830088812507 the lambda is 2.0 the regulation term lambda/alpha is 6.1521746385092895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3659673915286306 the lambda is 2.0 the regulation term lambda/alpha is 5.464967771161477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31965111832355186 the lambda is 2.0 the regulation term lambda/alpha is 6.256821532454624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2521831850377923 the lambda is 2.0 the regulation term lambda/alpha is 7.930742883195321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3220357297167761 the lambda is 2.0 the regulation term lambda/alpha is 6.210490996632453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.370093353958802 the lambda is 2.0 the regulation term lambda/alpha is 5.404041922413542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3465788457414812 the lambda is 2.0 the regulation term lambda/alpha is 5.770692656446299 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32826177034542725 the lambda is 2.0 the regulation term lambda/alpha is 6.0926985128223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3050825870909106 the lambda is 2.0 the regulation term lambda/alpha is 6.555601940677219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29139688308260536 the lambda is 2.0 the regulation term lambda/alpha is 6.863491396484974 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32662612718026435 the lambda is 2.0 the regulation term lambda/alpha is 6.123208872682141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31647798931327165 the lambda is 2.0 the regulation term lambda/alpha is 6.319554811188663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29695011276201727 the lambda is 2.0 the regulation term lambda/alpha is 6.735138038498899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087258952995122 the lambda is 2.0 the regulation term lambda/alpha is 6.478238561944045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36712223844527647 the lambda is 2.0 the regulation term lambda/alpha is 5.44777676359184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2578544709836987 the lambda is 2.0 the regulation term lambda/alpha is 7.7563130566250225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33649228083012206 the lambda is 2.0 the regulation term lambda/alpha is 5.943672749538344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3020538191804611 the lambda is 2.0 the regulation term lambda/alpha is 6.621336573152569 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3085734729018881 the lambda is 2.0 the regulation term lambda/alpha is 6.481438541011289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30523417748888676 the lambda is 2.0 the regulation term lambda/alpha is 6.552346190238863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3025170917208441 the lambda is 2.0 the regulation term lambda/alpha is 6.61119670502966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2972196667986588 the lambda is 2.0 the regulation term lambda/alpha is 6.729029816707355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2948327632362185 the lambda is 2.0 the regulation term lambda/alpha is 6.783506615910289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2741410502563107 the lambda is 2.0 the regulation term lambda/alpha is 7.295514473772102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3527630111179584 the lambda is 2.0 the regulation term lambda/alpha is 5.6695286551209065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3327903316233034 the lambda is 2.0 the regulation term lambda/alpha is 6.009789978706074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2800886898155979 the lambda is 2.0 the regulation term lambda/alpha is 7.140595363978248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30994050679072643 the lambda is 2.0 the regulation term lambda/alpha is 6.452851293007697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3486831682953347 the lambda is 2.0 the regulation term lambda/alpha is 5.7358662013361075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31053849772304293 the lambda is 2.0 the regulation term lambda/alpha is 6.440425308503042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3363692590427179 the lambda is 2.0 the regulation term lambda/alpha is 5.945846554741216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29502092281767833 the lambda is 2.0 the regulation term lambda/alpha is 6.779180204910387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2975110579433847 the lambda is 2.0 the regulation term lambda/alpha is 6.722439205539018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31519534387165865 the lambda is 2.0 the regulation term lambda/alpha is 6.345271397201732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010344892709818 the lambda is 2.0 the regulation term lambda/alpha is 6.643757015494868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30153153841379016 the lambda is 2.0 the regulation term lambda/alpha is 6.632805346070999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34590399122354665 the lambda is 2.0 the regulation term lambda/alpha is 5.781951208268841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31103070754623646 the lambda is 2.0 the regulation term lambda/alpha is 6.430233258247303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3063916909132382 the lambda is 2.0 the regulation term lambda/alpha is 6.527592161650185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2809542834956618 the lambda is 2.0 the regulation term lambda/alpha is 7.118595862343852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31498184869422036 the lambda is 2.0 the regulation term lambda/alpha is 6.349572231832222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26001729160848885 the lambda is 2.0 the regulation term lambda/alpha is 7.6917961402791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3452295126339333 the lambda is 2.0 the regulation term lambda/alpha is 5.793247468158132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29122175394465577 the lambda is 2.0 the regulation term lambda/alpha is 6.867618826236734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2985195296709448 the lambda is 2.0 the regulation term lambda/alpha is 6.699729167483885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34480021391473026 the lambda is 2.0 the regulation term lambda/alpha is 5.800460438503683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33990950311067236 the lambda is 2.0 the regulation term lambda/alpha is 5.883919048149744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2947090314587274 the lambda is 2.0 the regulation term lambda/alpha is 6.786354629515623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35172526745629834 the lambda is 2.0 the regulation term lambda/alpha is 5.686256248986999 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34737219467189384 the lambda is 2.0 the regulation term lambda/alpha is 5.757513211122369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3350875108711933 the lambda is 2.0 the regulation term lambda/alpha is 5.968590099941965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3123835888871464 the lambda is 2.0 the regulation term lambda/alpha is 6.402384988036398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29887223456977396 the lambda is 2.0 the regulation term lambda/alpha is 6.691822687641079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3504148873036955 the lambda is 2.0 the regulation term lambda/alpha is 5.70752006397106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2776840432415936 the lambda is 2.0 the regulation term lambda/alpha is 7.202430419309109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33263577120864773 the lambda is 2.0 the regulation term lambda/alpha is 6.012582449364679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2948193813272274 the lambda is 2.0 the regulation term lambda/alpha is 6.783814520593373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114064627681563 the lambda is 2.0 the regulation term lambda/alpha is 6.422474287211599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32586874903416874 the lambda is 2.0 the regulation term lambda/alpha is 6.137440321993845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.297079452686561 the lambda is 2.0 the regulation term lambda/alpha is 6.732205751402591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3162083044869791 the lambda is 2.0 the regulation term lambda/alpha is 6.324944574889735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32079717411801933 the lambda is 2.0 the regulation term lambda/alpha is 6.23446888364488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3582378728980889 the lambda is 2.0 the regulation term lambda/alpha is 5.5828826355524885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27634368738737747 the lambda is 2.0 the regulation term lambda/alpha is 7.237364525705297 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30790601128084677 the lambda is 2.0 the regulation term lambda/alpha is 6.4954886449935625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.281169281613178 the lambda is 2.0 the regulation term lambda/alpha is 7.113152576715418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3627140673199767 the lambda is 2.0 the regulation term lambda/alpha is 5.513985202662827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3217762365061921 the lambda is 2.0 the regulation term lambda/alpha is 6.215499384652394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31589082720531664 the lambda is 2.0 the regulation term lambda/alpha is 6.331301284351883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3154215149678245 the lambda is 2.0 the regulation term lambda/alpha is 6.340721558591258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3628538544631995 the lambda is 2.0 the regulation term lambda/alpha is 5.511860974878632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3093481873669531 the lambda is 2.0 the regulation term lambda/alpha is 6.465206785348228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31773071209724435 the lambda is 2.0 the regulation term lambda/alpha is 6.294638584978471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3382845606763039 the lambda is 2.0 the regulation term lambda/alpha is 5.9121823236672935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29627715136187893 the lambda is 2.0 the regulation term lambda/alpha is 6.750436173720192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3953290377124638 the lambda is 2.0 the regulation term lambda/alpha is 5.059076893447599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30933457331078057 the lambda is 2.0 the regulation term lambda/alpha is 6.465491324148403 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33833011041173433 the lambda is 2.0 the regulation term lambda/alpha is 5.911386360398367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2867548854906023 the lambda is 2.0 the regulation term lambda/alpha is 6.974597822730191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3080878293099981 the lambda is 2.0 the regulation term lambda/alpha is 6.49165533243963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168369365859371 the lambda is 2.0 the regulation term lambda/alpha is 6.31239533354575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3251870973817377 the lambda is 2.0 the regulation term lambda/alpha is 6.150305519816478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32746622448488316 the lambda is 2.0 the regulation term lambda/alpha is 6.107500103701003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30351387193079954 the lambda is 2.0 the regulation term lambda/alpha is 6.58948464950556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3384941131981572 the lambda is 2.0 the regulation term lambda/alpha is 5.90852225199315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3632361078525805 the lambda is 2.0 the regulation term lambda/alpha is 5.506060539586281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33457508344898984 the lambda is 2.0 the regulation term lambda/alpha is 5.977731453827539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3217951049088051 the lambda is 2.0 the regulation term lambda/alpha is 6.215134939876692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33383447936173777 the lambda is 2.0 the regulation term lambda/alpha is 5.990992913086223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37560525967805397 the lambda is 2.0 the regulation term lambda/alpha is 5.324739067057471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3198381726326242 the lambda is 2.0 the regulation term lambda/alpha is 6.253162289972375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28043633967295445 the lambda is 2.0 the regulation term lambda/alpha is 7.131743347999781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32957650240591607 the lambda is 2.0 the regulation term lambda/alpha is 6.0683937883919326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3174611871926165 the lambda is 2.0 the regulation term lambda/alpha is 6.299982740209812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031042940228643 the lambda is 2.0 the regulation term lambda/alpha is 6.598388869572175 710 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33049006920597096 the lambda is 2.0 the regulation term lambda/alpha is 6.051619054107015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27545067395436046 the lambda is 2.0 the regulation term lambda/alpha is 7.260828123191962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3488164888536586 the lambda is 2.0 the regulation term lambda/alpha is 5.73367390564806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30874743719985764 the lambda is 2.0 the regulation term lambda/alpha is 6.4777865628253455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3050608631152418 the lambda is 2.0 the regulation term lambda/alpha is 6.556068777804732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3050919524027987 the lambda is 2.0 the regulation term lambda/alpha is 6.555400705422388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3286006990458815 the lambda is 2.0 the regulation term lambda/alpha is 6.086414319285262 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34268838278521474 the lambda is 2.0 the regulation term lambda/alpha is 5.83620601242713 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3122182257197895 the lambda is 2.0 the regulation term lambda/alpha is 6.405775945299765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2910270849359753 the lambda is 2.0 the regulation term lambda/alpha is 6.872212599868467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35073686163772233 the lambda is 2.0 the regulation term lambda/alpha is 5.702280594806168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31081668728194606 the lambda is 2.0 the regulation term lambda/alpha is 6.434660949158668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38495362106852465 the lambda is 2.0 the regulation term lambda/alpha is 5.195431061145896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34545986298156967 the lambda is 2.0 the regulation term lambda/alpha is 5.789384569132132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34878218582863385 the lambda is 2.0 the regulation term lambda/alpha is 5.734237817359899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3420024550840144 the lambda is 2.0 the regulation term lambda/alpha is 5.847911236510543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34297817421512816 the lambda is 2.0 the regulation term lambda/alpha is 5.831274845919287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28623924354718183 the lambda is 2.0 the regulation term lambda/alpha is 6.987162120802394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2950905022301103 the lambda is 2.0 the regulation term lambda/alpha is 6.777581741483528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30870961678119424 the lambda is 2.0 the regulation term lambda/alpha is 6.478580164924213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3252489965328757 the lambda is 2.0 the regulation term lambda/alpha is 6.149135035987245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2695431055972905 the lambda is 2.0 the regulation term lambda/alpha is 7.419963480676407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3201979935613057 the lambda is 2.0 the regulation term lambda/alpha is 6.246135329442895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30152927424638587 the lambda is 2.0 the regulation term lambda/alpha is 6.6328551514562335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.297216766148726 the lambda is 2.0 the regulation term lambda/alpha is 6.729095487833982 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3543327158018841 the lambda is 2.0 the regulation term lambda/alpha is 5.64441247112572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34001330836146065 the lambda is 2.0 the regulation term lambda/alpha is 5.882122701720381 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2850253613602318 the lambda is 2.0 the regulation term lambda/alpha is 7.016919443432553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35773620572935744 the lambda is 2.0 the regulation term lambda/alpha is 5.5907117254804355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32911322258726494 the lambda is 2.0 the regulation term lambda/alpha is 6.076936029118966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3116053446313289 the lambda is 2.0 the regulation term lambda/alpha is 6.418375148110086 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26450651744176334 the lambda is 2.0 the regulation term lambda/alpha is 7.561250359134693 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3075913579347678 the lambda is 2.0 the regulation term lambda/alpha is 6.502133263523446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3103871341283919 the lambda is 2.0 the regulation term lambda/alpha is 6.443566050558971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3081743312998735 the lambda is 2.0 the regulation term lambda/alpha is 6.48983317839626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33100657692414626 the lambda is 2.0 the regulation term lambda/alpha is 6.042176015307157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31314367885100114 the lambda is 2.0 the regulation term lambda/alpha is 6.386844554354337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32741971925505486 the lambda is 2.0 the regulation term lambda/alpha is 6.108367585649388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3237154329670868 the lambda is 2.0 the regulation term lambda/alpha is 6.178265835732788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30578635226885853 the lambda is 2.0 the regulation term lambda/alpha is 6.540514268084558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2512594727063555 the lambda is 2.0 the regulation term lambda/alpha is 7.959898898368621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30038642038759716 the lambda is 2.0 the regulation term lambda/alpha is 6.658090593507333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3117181678414046 the lambda is 2.0 the regulation term lambda/alpha is 6.416052082718375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3388065348829208 the lambda is 2.0 the regulation term lambda/alpha is 5.9030738609901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29453023387289284 the lambda is 2.0 the regulation term lambda/alpha is 6.7904743553869515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30560000825177475 the lambda is 2.0 the regulation term lambda/alpha is 6.544502441087173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3625062086908876 the lambda is 2.0 the regulation term lambda/alpha is 5.517146884801133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3553269096187135 the lambda is 2.0 the regulation term lambda/alpha is 5.62861957780264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2878984963295279 the lambda is 2.0 the regulation term lambda/alpha is 6.946892830280033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2943886379253026 the lambda is 2.0 the regulation term lambda/alpha is 6.7937404585141445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3326020100539553 the lambda is 2.0 the regulation term lambda/alpha is 6.013192763554124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30440726204266005 the lambda is 2.0 the regulation term lambda/alpha is 6.570145490549162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35631329545819923 the lambda is 2.0 the regulation term lambda/alpha is 5.613037811087319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27416746871040887 the lambda is 2.0 the regulation term lambda/alpha is 7.294811486597313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2795017658809406 the lambda is 2.0 the regulation term lambda/alpha is 7.1555898535966325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30290272114905464 the lambda is 2.0 the regulation term lambda/alpha is 6.602779903769253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3505161480320546 the lambda is 2.0 the regulation term lambda/alpha is 5.705871216572597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31057244436127845 the lambda is 2.0 the regulation term lambda/alpha is 6.439721347826556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2846844572031239 the lambda is 2.0 the regulation term lambda/alpha is 7.025322069385014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3358796986136295 the lambda is 2.0 the regulation term lambda/alpha is 5.954512905231132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3582293334638255 the lambda is 2.0 the regulation term lambda/alpha is 5.5830157197385475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27091528084300615 the lambda is 2.0 the regulation term lambda/alpha is 7.382381657382362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3789643100186348 the lambda is 2.0 the regulation term lambda/alpha is 5.277541834748645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38597131758769904 the lambda is 2.0 the regulation term lambda/alpha is 5.181732188028628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33136953669425123 the lambda is 2.0 the regulation term lambda/alpha is 6.0355578245122885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3267583642848681 the lambda is 2.0 the regulation term lambda/alpha is 6.12073084763149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30483688688250404 the lambda is 2.0 the regulation term lambda/alpha is 6.560885791918212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996713943434873 the lambda is 2.0 the regulation term lambda/alpha is 6.673977022002887 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34759743756529404 the lambda is 2.0 the regulation term lambda/alpha is 5.7537823466385944 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34219857563248113 the lambda is 2.0 the regulation term lambda/alpha is 5.844559686735768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3099075705901565 the lambda is 2.0 the regulation term lambda/alpha is 6.453537085884682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33587823432714564 the lambda is 2.0 the regulation term lambda/alpha is 5.954538864379043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3052087269509802 the lambda is 2.0 the regulation term lambda/alpha is 6.552892572830073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.271340854869057 the lambda is 2.0 the regulation term lambda/alpha is 7.370803047573337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29942613040360777 the lambda is 2.0 the regulation term lambda/alpha is 6.679443765659745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33909663949130703 the lambda is 2.0 the regulation term lambda/alpha is 5.898023651901367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.300260098707508 the lambda is 2.0 the regulation term lambda/alpha is 6.660891702257972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3310281247070362 the lambda is 2.0 the regulation term lambda/alpha is 6.041782708856004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31193195252554 the lambda is 2.0 the regulation term lambda/alpha is 6.411654797808013 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29580638621447625 the lambda is 2.0 the regulation term lambda/alpha is 6.761179248340797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3159095646153516 the lambda is 2.0 the regulation term lambda/alpha is 6.330925758563786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34175256719581293 the lambda is 2.0 the regulation term lambda/alpha is 5.8521872020176104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2938351350220953 the lambda is 2.0 the regulation term lambda/alpha is 6.806537958265636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34351481871649875 the lambda is 2.0 the regulation term lambda/alpha is 5.82216513241774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2943454824923489 the lambda is 2.0 the regulation term lambda/alpha is 6.7947365220799245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33929679558226855 the lambda is 2.0 the regulation term lambda/alpha is 5.894544322376497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3590956685500693 the lambda is 2.0 the regulation term lambda/alpha is 5.569546433337546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3048266590532871 the lambda is 2.0 the regulation term lambda/alpha is 6.561105928895732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3583208543256784 the lambda is 2.0 the regulation term lambda/alpha is 5.581589728467763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3040436972159404 the lambda is 2.0 the regulation term lambda/alpha is 6.578001840898362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32605135660129225 the lambda is 2.0 the regulation term lambda/alpha is 6.134003001391203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3487296376251769 the lambda is 2.0 the regulation term lambda/alpha is 5.735101878979522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35087694517076734 the lambda is 2.0 the regulation term lambda/alpha is 5.700004025703728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29340308067013254 the lambda is 2.0 the regulation term lambda/alpha is 6.816561010307051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.353016876280603 the lambda is 2.0 the regulation term lambda/alpha is 5.665451524788455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3069943541154783 the lambda is 2.0 the regulation term lambda/alpha is 6.5147777904986635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3409722393563753 the lambda is 2.0 the regulation term lambda/alpha is 5.865580153314629 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33014328204871907 the lambda is 2.0 the regulation term lambda/alpha is 6.057975760066689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3085101290293234 the lambda is 2.0 the regulation term lambda/alpha is 6.482769322007911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37097043393465756 the lambda is 2.0 the regulation term lambda/alpha is 5.391265225067177 720 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3506638384959696 the lambda is 2.0 the regulation term lambda/alpha is 5.703468052417921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3613875574405514 the lambda is 2.0 the regulation term lambda/alpha is 5.534224847597311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27989898572146504 the lambda is 2.0 the regulation term lambda/alpha is 7.145434967707434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37757204604414946 the lambda is 2.0 the regulation term lambda/alpha is 5.297002309768823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.24862154722056823 the lambda is 2.0 the regulation term lambda/alpha is 8.04435505433353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3056559045515638 the lambda is 2.0 the regulation term lambda/alpha is 6.543305626417573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40100395051767856 the lambda is 2.0 the regulation term lambda/alpha is 4.987482037067434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29384893407850726 the lambda is 2.0 the regulation term lambda/alpha is 6.806218325316989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2804853311405841 the lambda is 2.0 the regulation term lambda/alpha is 7.130497669404199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36428562212851995 the lambda is 2.0 the regulation term lambda/alpha is 5.490197467344457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3180228833169795 the lambda is 2.0 the regulation term lambda/alpha is 6.288855629318227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2898289576039563 the lambda is 2.0 the regulation term lambda/alpha is 6.900621720252493 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29608075545979784 the lambda is 2.0 the regulation term lambda/alpha is 6.754913864273634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3586717125580577 the lambda is 2.0 the regulation term lambda/alpha is 5.57612973082248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35185368351069335 the lambda is 2.0 the regulation term lambda/alpha is 5.684180935792924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3035052648916069 the lambda is 2.0 the regulation term lambda/alpha is 6.589671519254452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30753816397766603 the lambda is 2.0 the regulation term lambda/alpha is 6.503257918081489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3512072382654354 the lambda is 2.0 the regulation term lambda/alpha is 5.694643452901845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27738546893636745 the lambda is 2.0 the regulation term lambda/alpha is 7.210183026778531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3545381041393192 the lambda is 2.0 the regulation term lambda/alpha is 5.641142592712914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.350973211881288 the lambda is 2.0 the regulation term lambda/alpha is 5.698440599724384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33544332582286285 the lambda is 2.0 the regulation term lambda/alpha is 5.962259034648785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34574684153390045 the lambda is 2.0 the regulation term lambda/alpha is 5.784579234699676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.305100107947369 the lambda is 2.0 the regulation term lambda/alpha is 6.555225474862853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31153890891799446 the lambda is 2.0 the regulation term lambda/alpha is 6.419743867455267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3221713185592675 the lambda is 2.0 the regulation term lambda/alpha is 6.2078772528352015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3420902537762709 the lambda is 2.0 the regulation term lambda/alpha is 5.846410349088788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30811397506558985 the lambda is 2.0 the regulation term lambda/alpha is 6.491104467346051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29193537097026606 the lambda is 2.0 the regulation term lambda/alpha is 6.850831378715333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3542762866768285 the lambda is 2.0 the regulation term lambda/alpha is 5.645311513114068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29903421055114043 the lambda is 2.0 the regulation term lambda/alpha is 6.688197970104704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31128069131416447 the lambda is 2.0 the regulation term lambda/alpha is 6.42506925680614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32470347265427235 the lambda is 2.0 the regulation term lambda/alpha is 6.1594660003205375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32433262354488723 the lambda is 2.0 the regulation term lambda/alpha is 6.166508870246913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30057376887963655 the lambda is 2.0 the regulation term lambda/alpha is 6.653940586548293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3414515078064819 the lambda is 2.0 the regulation term lambda/alpha is 5.85734710280882 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2770334635917239 the lambda is 2.0 the regulation term lambda/alpha is 7.219344457778161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3322738871783697 the lambda is 2.0 the regulation term lambda/alpha is 6.019130835058276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3793057207466547 the lambda is 2.0 the regulation term lambda/alpha is 5.272791552057389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32404545389070527 the lambda is 2.0 the regulation term lambda/alpha is 6.171973641310716 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3227798697329849 the lambda is 2.0 the regulation term lambda/alpha is 6.196173267107617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33241367899081564 the lambda is 2.0 the regulation term lambda/alpha is 6.016599575781171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31910428336629615 the lambda is 2.0 the regulation term lambda/alpha is 6.267543571968361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3794117656739401 the lambda is 2.0 the regulation term lambda/alpha is 5.271317816007755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3059914026092316 the lambda is 2.0 the regulation term lambda/alpha is 6.536131351880215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3330010760872188 the lambda is 2.0 the regulation term lambda/alpha is 6.005986597701459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35277428326404653 the lambda is 2.0 the regulation term lambda/alpha is 5.669347497484754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2979507964715556 the lambda is 2.0 the regulation term lambda/alpha is 6.712517716632228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33483964550713763 the lambda is 2.0 the regulation term lambda/alpha is 5.973008354404577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32133687644864184 the lambda is 2.0 the regulation term lambda/alpha is 6.223997762421933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3357362906253255 the lambda is 2.0 the regulation term lambda/alpha is 5.9570563440577144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3813110867583329 the lambda is 2.0 the regulation term lambda/alpha is 5.2450612359654745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2916056679833411 the lambda is 2.0 the regulation term lambda/alpha is 6.85857724862281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27908796174391115 the lambda is 2.0 the regulation term lambda/alpha is 7.166199457342355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33204125425446834 the lambda is 2.0 the regulation term lambda/alpha is 6.023347925517859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34063884524253596 the lambda is 2.0 the regulation term lambda/alpha is 5.871320983888357 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2934251387350546 the lambda is 2.0 the regulation term lambda/alpha is 6.81604857927964 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3409009940401677 the lambda is 2.0 the regulation term lambda/alpha is 5.8668060080937865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30808670218412626 the lambda is 2.0 the regulation term lambda/alpha is 6.491679081964113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35186596288939426 the lambda is 2.0 the regulation term lambda/alpha is 5.683982569887503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30864474302404465 the lambda is 2.0 the regulation term lambda/alpha is 6.479941891782657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28919239266583235 the lambda is 2.0 the regulation term lambda/alpha is 6.91581124096525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32146040440659657 the lambda is 2.0 the regulation term lambda/alpha is 6.221606059669845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2774964260855776 the lambda is 2.0 the regulation term lambda/alpha is 7.207300029814498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3399031655558075 the lambda is 2.0 the regulation term lambda/alpha is 5.88402875486497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28255724482207645 the lambda is 2.0 the regulation term lambda/alpha is 7.078211713379994 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32089908347972507 the lambda is 2.0 the regulation term lambda/alpha is 6.2324889753895585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31048805039960314 the lambda is 2.0 the regulation term lambda/alpha is 6.441471732731639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31916338611220574 the lambda is 2.0 the regulation term lambda/alpha is 6.266382946873724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28754812074046066 the lambda is 2.0 the regulation term lambda/alpha is 6.955357575802726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28846054572949964 the lambda is 2.0 the regulation term lambda/alpha is 6.933357194281521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2950981573930009 the lambda is 2.0 the regulation term lambda/alpha is 6.777405923739718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36180738523848677 the lambda is 2.0 the regulation term lambda/alpha is 5.5278031394569025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3324664586650578 the lambda is 2.0 the regulation term lambda/alpha is 6.015644429307358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29639957931686817 the lambda is 2.0 the regulation term lambda/alpha is 6.747647903581824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3061785019298567 the lambda is 2.0 the regulation term lambda/alpha is 6.532137257821536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27761040081269206 the lambda is 2.0 the regulation term lambda/alpha is 7.20434102665134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29545577224224767 the lambda is 2.0 the regulation term lambda/alpha is 6.7692026621168075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3774307398952988 the lambda is 2.0 the regulation term lambda/alpha is 5.298985452416542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3134331397032905 the lambda is 2.0 the regulation term lambda/alpha is 6.380946194436515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2785653863179359 the lambda is 2.0 the regulation term lambda/alpha is 7.179642906952314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3573306849352732 the lambda is 2.0 the regulation term lambda/alpha is 5.597056408302241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33026234616913186 the lambda is 2.0 the regulation term lambda/alpha is 6.055791776443606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3210210327606504 the lambda is 2.0 the regulation term lambda/alpha is 6.2301213811469385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31717107539535605 the lambda is 2.0 the regulation term lambda/alpha is 6.30574524334221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3036752260869887 the lambda is 2.0 the regulation term lambda/alpha is 6.585983406585474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.293385580466057 the lambda is 2.0 the regulation term lambda/alpha is 6.816967612460382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2986430234378362 the lambda is 2.0 the regulation term lambda/alpha is 6.69695872006971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3505988703313175 the lambda is 2.0 the regulation term lambda/alpha is 5.704524940739231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2685075815184361 the lambda is 2.0 the regulation term lambda/alpha is 7.4485792493821155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30181690915290943 the lambda is 2.0 the regulation term lambda/alpha is 6.626533965950664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33153559639014407 the lambda is 2.0 the regulation term lambda/alpha is 6.032534731644448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2952135358076331 the lambda is 2.0 the regulation term lambda/alpha is 6.774757107693189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3142703490145981 the lambda is 2.0 the regulation term lambda/alpha is 6.363947493841038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31639707868967687 the lambda is 2.0 the regulation term lambda/alpha is 6.321170878956204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34476412000710394 the lambda is 2.0 the regulation term lambda/alpha is 5.8010676979924405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38446788846856234 the lambda is 2.0 the regulation term lambda/alpha is 5.201994912934162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.313544370919689 the lambda is 2.0 the regulation term lambda/alpha is 6.378682526283587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2929438163829465 the lambda is 2.0 the regulation term lambda/alpha is 6.827247711504958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2902186833863991 the lambda is 2.0 the regulation term lambda/alpha is 6.891355086664722 730 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28752332438190714 the lambda is 2.0 the regulation term lambda/alpha is 6.95595741423562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29905080097066106 the lambda is 2.0 the regulation term lambda/alpha is 6.687826929432681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3338487858013478 the lambda is 2.0 the regulation term lambda/alpha is 5.990736180751225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3511816111548445 the lambda is 2.0 the regulation term lambda/alpha is 5.695059013548837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2856706760420441 the lambda is 2.0 the regulation term lambda/alpha is 7.001068600074466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27533002366497855 the lambda is 2.0 the regulation term lambda/alpha is 7.264009835823786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3396444590209919 the lambda is 2.0 the regulation term lambda/alpha is 5.888510608313469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33185590357206285 the lambda is 2.0 the regulation term lambda/alpha is 6.026712131597496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32648778553333385 the lambda is 2.0 the regulation term lambda/alpha is 6.1258034408022395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2939845378193744 the lambda is 2.0 the regulation term lambda/alpha is 6.8030788790287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33228317773019017 the lambda is 2.0 the regulation term lambda/alpha is 6.018962541714872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128183292732455 the lambda is 2.0 the regulation term lambda/alpha is 6.393487250719917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3059978976562412 the lambda is 2.0 the regulation term lambda/alpha is 6.535992617331003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30720623425589344 the lambda is 2.0 the regulation term lambda/alpha is 6.5102845482427965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3377760006298134 the lambda is 2.0 the regulation term lambda/alpha is 5.921083784137482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3608546459746999 the lambda is 2.0 the regulation term lambda/alpha is 5.542397811168055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3455876839347591 the lambda is 2.0 the regulation term lambda/alpha is 5.787243275653206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3469198370392356 the lambda is 2.0 the regulation term lambda/alpha is 5.765020579592298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3186261552636705 the lambda is 2.0 the regulation term lambda/alpha is 6.276948602492956 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32393909242312874 the lambda is 2.0 the regulation term lambda/alpha is 6.174000133912838 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2972849909219906 the lambda is 2.0 the regulation term lambda/alpha is 6.727551208681141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3074508070290367 the lambda is 2.0 the regulation term lambda/alpha is 6.505105708865852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2868005033035627 the lambda is 2.0 the regulation term lambda/alpha is 6.9734884596179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33550037115344505 the lambda is 2.0 the regulation term lambda/alpha is 5.961245268146891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25717354937822823 the lambda is 2.0 the regulation term lambda/alpha is 7.776849543179792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4064296724953009 the lambda is 2.0 the regulation term lambda/alpha is 4.92090055266111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31519120846895765 the lambda is 2.0 the regulation term lambda/alpha is 6.345354649055748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3161896680597366 the lambda is 2.0 the regulation term lambda/alpha is 6.325317371287879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30343031157506745 the lambda is 2.0 the regulation term lambda/alpha is 6.5912992990656045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28858441011239067 the lambda is 2.0 the regulation term lambda/alpha is 6.930381302375585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29975582352051877 the lambda is 2.0 the regulation term lambda/alpha is 6.672097230708503 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3173898466647483 the lambda is 2.0 the regulation term lambda/alpha is 6.301398803448665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2973244013394882 the lambda is 2.0 the regulation term lambda/alpha is 6.726659470227533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29166291056647914 the lambda is 2.0 the regulation term lambda/alpha is 6.85723116496205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3374350124891473 the lambda is 2.0 the regulation term lambda/alpha is 5.927067215837078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30935499359359464 the lambda is 2.0 the regulation term lambda/alpha is 6.4650645420886175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2912910013294433 the lambda is 2.0 the regulation term lambda/alpha is 6.865986216093393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3184824715772184 the lambda is 2.0 the regulation term lambda/alpha is 6.2797804541500035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3039634811220196 the lambda is 2.0 the regulation term lambda/alpha is 6.579737778424583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3422419380460324 the lambda is 2.0 the regulation term lambda/alpha is 5.843819174875625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3171002570094011 the lambda is 2.0 the regulation term lambda/alpha is 6.307153513094459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39087133481113556 the lambda is 2.0 the regulation term lambda/alpha is 5.116773275191378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33378880894633844 the lambda is 2.0 the regulation term lambda/alpha is 5.991812626412918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26918183789129035 the lambda is 2.0 the regulation term lambda/alpha is 7.429921779521039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2950301539804691 the lambda is 2.0 the regulation term lambda/alpha is 6.778968091961201 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32895251202099174 the lambda is 2.0 the regulation term lambda/alpha is 6.079904931300152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.297737699689813 the lambda is 2.0 the regulation term lambda/alpha is 6.717321998805075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35461219130625765 the lambda is 2.0 the regulation term lambda/alpha is 5.639964019941767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168925379676207 the lambda is 2.0 the regulation term lambda/alpha is 6.311287772274256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3063691169267914 the lambda is 2.0 the regulation term lambda/alpha is 6.528073129766245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3104039506864538 the lambda is 2.0 the regulation term lambda/alpha is 6.443216961565821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31267810723388195 the lambda is 2.0 the regulation term lambda/alpha is 6.396354441611123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32184746149500687 the lambda is 2.0 the regulation term lambda/alpha is 6.214123891827023 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31383820048269095 the lambda is 2.0 the regulation term lambda/alpha is 6.372710514283954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3544470698619855 the lambda is 2.0 the regulation term lambda/alpha is 5.642591433408547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3274309212558812 the lambda is 2.0 the regulation term lambda/alpha is 6.10815860740604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3397130633119194 the lambda is 2.0 the regulation term lambda/alpha is 5.887321436808069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3636202290135657 the lambda is 2.0 the regulation term lambda/alpha is 5.500244046998236 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33544754923902526 the lambda is 2.0 the regulation term lambda/alpha is 5.962183967469941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028826177070312 the lambda is 2.0 the regulation term lambda/alpha is 6.6032181547458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30565889503584254 the lambda is 2.0 the regulation term lambda/alpha is 6.543241608478215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3699018588885036 the lambda is 2.0 the regulation term lambda/alpha is 5.406839549305545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2767624571900456 the lambda is 2.0 the regulation term lambda/alpha is 7.226413655616057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.369147552696513 the lambda is 2.0 the regulation term lambda/alpha is 5.417887739985258 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3242044713360247 the lambda is 2.0 the regulation term lambda/alpha is 6.168946380529964 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 4 iterations the alpha is 0.2784256620445526 the lambda is 2.0 the regulation term lambda/alpha is 7.183245916750187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3535162497869216 the lambda is 2.0 the regulation term lambda/alpha is 5.657448564826879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2938157085823493 the lambda is 2.0 the regulation term lambda/alpha is 6.806987991383889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3037630130743718 the lambda is 2.0 the regulation term lambda/alpha is 6.584080068728874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27569916249454113 the lambda is 2.0 the regulation term lambda/alpha is 7.2542839154964796 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35495478234407074 the lambda is 2.0 the regulation term lambda/alpha is 5.634520506505886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32796547039235213 the lambda is 2.0 the regulation term lambda/alpha is 6.0982029529125645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3243086406349942 the lambda is 2.0 the regulation term lambda/alpha is 6.166964889014406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3147076527393681 the lambda is 2.0 the regulation term lambda/alpha is 6.355104436104523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3257986063846055 the lambda is 2.0 the regulation term lambda/alpha is 6.138761679167524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3428278849035426 the lambda is 2.0 the regulation term lambda/alpha is 5.833831167388021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3102607230186593 the lambda is 2.0 the regulation term lambda/alpha is 6.446191385558392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3189041443236366 the lambda is 2.0 the regulation term lambda/alpha is 6.271476980149623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29233753774926136 the lambda is 2.0 the regulation term lambda/alpha is 6.841406736193438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34928450041187586 the lambda is 2.0 the regulation term lambda/alpha is 5.725991269700208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168613992143439 the lambda is 2.0 the regulation term lambda/alpha is 6.311907998131009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31047432678685155 the lambda is 2.0 the regulation term lambda/alpha is 6.441756459216193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35431287394093286 the lambda is 2.0 the regulation term lambda/alpha is 5.644728563640671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3122384572859391 the lambda is 2.0 the regulation term lambda/alpha is 6.405360881502361 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3597187273012398 the lambda is 2.0 the regulation term lambda/alpha is 5.559899577664014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31987792429005674 the lambda is 2.0 the regulation term lambda/alpha is 6.252385201132085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2807562496541358 the lambda is 2.0 the regulation term lambda/alpha is 7.123617025315746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3073492667830544 the lambda is 2.0 the regulation term lambda/alpha is 6.507254827491487 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010252330227066 the lambda is 2.0 the regulation term lambda/alpha is 6.643961304895454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3719013023017945 the lambda is 2.0 the regulation term lambda/alpha is 5.377770896798362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3212458215511312 the lambda is 2.0 the regulation term lambda/alpha is 6.2257619113706335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33731138895547946 the lambda is 2.0 the regulation term lambda/alpha is 5.929239466811993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31106946745850883 the lambda is 2.0 the regulation term lambda/alpha is 6.429432037609942 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3000021162796279 the lambda is 2.0 the regulation term lambda/alpha is 6.666619638562239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35654458802578737 the lambda is 2.0 the regulation term lambda/alpha is 5.609396600504138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33074497573889977 the lambda is 2.0 the regulation term lambda/alpha is 6.046955046049925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2995759102928917 the lambda is 2.0 the regulation term lambda/alpha is 6.6761042236160595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30222530618724736 the lambda is 2.0 the regulation term lambda/alpha is 6.617579531082932 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26401267986189725 the lambda is 2.0 the regulation term lambda/alpha is 7.575393731263903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29863427565256234 the lambda is 2.0 the regulation term lambda/alpha is 6.697154891646945 740 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3414104176590933 the lambda is 2.0 the regulation term lambda/alpha is 5.858052058613657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3198846421147785 the lambda is 2.0 the regulation term lambda/alpha is 6.252253896210421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2933701168146022 the lambda is 2.0 the regulation term lambda/alpha is 6.817326937439636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35178143744496276 the lambda is 2.0 the regulation term lambda/alpha is 5.685348307535146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3182621667182001 the lambda is 2.0 the regulation term lambda/alpha is 6.284127392907704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.327169953263735 the lambda is 2.0 the regulation term lambda/alpha is 6.113030796528494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29072692759584884 the lambda is 2.0 the regulation term lambda/alpha is 6.879307728867414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3174465188837159 the lambda is 2.0 the regulation term lambda/alpha is 6.300273844655457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3169102369468087 the lambda is 2.0 the regulation term lambda/alpha is 6.310935295964223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3332512931699133 the lambda is 2.0 the regulation term lambda/alpha is 6.00147708648281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.308857151909097 the lambda is 2.0 the regulation term lambda/alpha is 6.475485471641728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3050430361515316 the lambda is 2.0 the regulation term lambda/alpha is 6.556451919808752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2831611027446053 the lambda is 2.0 the regulation term lambda/alpha is 7.06311700517667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3316504709663766 the lambda is 2.0 the regulation term lambda/alpha is 6.030445227990537 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31387316052180353 the lambda is 2.0 the regulation term lambda/alpha is 6.372000704600124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2946591876274329 the lambda is 2.0 the regulation term lambda/alpha is 6.78750259275404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302107249194685 the lambda is 2.0 the regulation term lambda/alpha is 6.05673846749756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26070438104357385 the lambda is 2.0 the regulation term lambda/alpha is 7.671524321893624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2842928771961128 the lambda is 2.0 the regulation term lambda/alpha is 7.034998624395175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30769118594495387 the lambda is 2.0 the regulation term lambda/alpha is 6.500023696999241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31965445950599924 the lambda is 2.0 the regulation term lambda/alpha is 6.256756133140899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30890244809273393 the lambda is 2.0 the regulation term lambda/alpha is 6.474535933103356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3371939794547091 the lambda is 2.0 the regulation term lambda/alpha is 5.931304002622722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2875527470888208 the lambda is 2.0 the regulation term lambda/alpha is 6.955245673178109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3314419595865535 the lambda is 2.0 the regulation term lambda/alpha is 6.034239003700181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028045500993968 the lambda is 2.0 the regulation term lambda/alpha is 6.604920564580328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30704970384147773 the lambda is 2.0 the regulation term lambda/alpha is 6.5136034165743775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30208157614164965 the lambda is 2.0 the regulation term lambda/alpha is 6.620728167354954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3581647065934006 the lambda is 2.0 the regulation term lambda/alpha is 5.584023113339474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30170502629922474 the lambda is 2.0 the regulation term lambda/alpha is 6.628991318217025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3192516548806945 the lambda is 2.0 the regulation term lambda/alpha is 6.264650376667294 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3573058868462466 the lambda is 2.0 the regulation term lambda/alpha is 5.597444860628972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29613126233098025 the lambda is 2.0 the regulation term lambda/alpha is 6.753761775292196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31187370397427905 the lambda is 2.0 the regulation term lambda/alpha is 6.412852300509903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3263698285682326 the lambda is 2.0 the regulation term lambda/alpha is 6.128017435845389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3790822504400918 the lambda is 2.0 the regulation term lambda/alpha is 5.275899881036687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32243936193622974 the lambda is 2.0 the regulation term lambda/alpha is 6.20271665342009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2879792660391982 the lambda is 2.0 the regulation term lambda/alpha is 6.944944431269474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28884460414271806 the lambda is 2.0 the regulation term lambda/alpha is 6.924138347454814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30723278966173356 the lambda is 2.0 the regulation term lambda/alpha is 6.5097218373143715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33820672774269456 the lambda is 2.0 the regulation term lambda/alpha is 5.913542918997125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.309619143891787 the lambda is 2.0 the regulation term lambda/alpha is 6.459548898885293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3415821756134996 the lambda is 2.0 the regulation term lambda/alpha is 5.855106451054991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3091300936040709 the lambda is 2.0 the regulation term lambda/alpha is 6.4697680406410685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30034811210805357 the lambda is 2.0 the regulation term lambda/alpha is 6.658939808086684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3292360328341375 the lambda is 2.0 the regulation term lambda/alpha is 6.074669235877836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2866300512648127 the lambda is 2.0 the regulation term lambda/alpha is 6.977635426483015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30705737003639955 the lambda is 2.0 the regulation term lambda/alpha is 6.513440793695699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3124491943760131 the lambda is 2.0 the regulation term lambda/alpha is 6.40104066836903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27765771567529507 the lambda is 2.0 the regulation term lambda/alpha is 7.203113355361918 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29112717817129996 the lambda is 2.0 the regulation term lambda/alpha is 6.8698498455654144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3612517668052181 the lambda is 2.0 the regulation term lambda/alpha is 5.536305102912817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2699864814445617 the lambda is 2.0 the regulation term lambda/alpha is 7.407778305413689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3436822175326388 the lambda is 2.0 the regulation term lambda/alpha is 5.81932930472338 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3062019928000633 the lambda is 2.0 the regulation term lambda/alpha is 6.531636132446446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31794248337121866 the lambda is 2.0 the regulation term lambda/alpha is 6.29044592843816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29368088490646027 the lambda is 2.0 the regulation term lambda/alpha is 6.810112958618387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2585560992158856 the lambda is 2.0 the regulation term lambda/alpha is 7.7352652134888045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36331075639039534 the lambda is 2.0 the regulation term lambda/alpha is 5.504929223320053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010222386984339 the lambda is 2.0 the regulation term lambda/alpha is 6.644027393615969 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32524802722119184 the lambda is 2.0 the regulation term lambda/alpha is 6.149153361781523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26498199261478556 the lambda is 2.0 the regulation term lambda/alpha is 7.5476826944519075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2869837079456365 the lambda is 2.0 the regulation term lambda/alpha is 6.9690367244779665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3407448540358071 the lambda is 2.0 the regulation term lambda/alpha is 5.869494363045701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.321495594488971 the lambda is 2.0 the regulation term lambda/alpha is 6.220925058643721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3600388336465368 the lambda is 2.0 the regulation term lambda/alpha is 5.554956335525385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3380905292880969 the lambda is 2.0 the regulation term lambda/alpha is 5.915575346672137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.289795376514596 the lambda is 2.0 the regulation term lambda/alpha is 6.901421354799519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33722030429991745 the lambda is 2.0 the regulation term lambda/alpha is 5.930840979910976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3169258924356634 the lambda is 2.0 the regulation term lambda/alpha is 6.3106235487086435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3040859689707123 the lambda is 2.0 the regulation term lambda/alpha is 6.577087416330702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26807977238645825 the lambda is 2.0 the regulation term lambda/alpha is 7.460465898623792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32179576961313555 the lambda is 2.0 the regulation term lambda/alpha is 6.2151221018362355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3238839922540786 the lambda is 2.0 the regulation term lambda/alpha is 6.175050474340985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3494130236897609 the lambda is 2.0 the regulation term lambda/alpha is 5.723885099874734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3504996653401543 the lambda is 2.0 the regulation term lambda/alpha is 5.706139542413063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010936396876192 the lambda is 2.0 the regulation term lambda/alpha is 6.6424518368271555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29877031331217857 the lambda is 2.0 the regulation term lambda/alpha is 6.694105508100612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33815243981114534 the lambda is 2.0 the regulation term lambda/alpha is 5.914492295595973 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29072012538498665 the lambda is 2.0 the regulation term lambda/alpha is 6.879468689522255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3826943324593523 the lambda is 2.0 the regulation term lambda/alpha is 5.226103002746791 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33725581590706405 the lambda is 2.0 the regulation term lambda/alpha is 5.930216487507899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29544066434299454 the lambda is 2.0 the regulation term lambda/alpha is 6.769548817687743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3106737578569774 the lambda is 2.0 the regulation term lambda/alpha is 6.437621297002901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3567087963649982 the lambda is 2.0 the regulation term lambda/alpha is 5.60681435496063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2760238657203351 the lambda is 2.0 the regulation term lambda/alpha is 7.245750271559424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3774027193659471 the lambda is 2.0 the regulation term lambda/alpha is 5.299378879304544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30614486165925053 the lambda is 2.0 the regulation term lambda/alpha is 6.532855031962179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32635184557655345 the lambda is 2.0 the regulation term lambda/alpha is 6.128355108477097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3117013828843846 the lambda is 2.0 the regulation term lambda/alpha is 6.416397583779198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32476123789094 the lambda is 2.0 the regulation term lambda/alpha is 6.158370416951151 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3326350104138555 the lambda is 2.0 the regulation term lambda/alpha is 6.012596201198587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32641332053474376 the lambda is 2.0 the regulation term lambda/alpha is 6.127200926492575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37055786378185585 the lambda is 2.0 the regulation term lambda/alpha is 5.397267729224017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31161181567948665 the lambda is 2.0 the regulation term lambda/alpha is 6.418241861717889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34078727267727904 the lambda is 2.0 the regulation term lambda/alpha is 5.868763772448665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3563329998200749 the lambda is 2.0 the regulation term lambda/alpha is 5.612727423533242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34555515961346656 the lambda is 2.0 the regulation term lambda/alpha is 5.7877879822057166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33152962489250826 the lambda is 2.0 the regulation term lambda/alpha is 6.032643389405877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3090067883596619 the lambda is 2.0 the regulation term lambda/alpha is 6.472349719618919 750 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30843504024155394 the lambda is 2.0 the regulation term lambda/alpha is 6.484347558026093 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32039553222726735 the lambda is 2.0 the regulation term lambda/alpha is 6.242284298088566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3666041051777774 the lambda is 2.0 the regulation term lambda/alpha is 5.45547628014187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31489660321057156 the lambda is 2.0 the regulation term lambda/alpha is 6.351291120986144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3161345477107987 the lambda is 2.0 the regulation term lambda/alpha is 6.326420236201483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34849898948317876 the lambda is 2.0 the regulation term lambda/alpha is 5.7388975588307565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.366265829268624 the lambda is 2.0 the regulation term lambda/alpha is 5.460514850631001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3118850945421893 the lambda is 2.0 the regulation term lambda/alpha is 6.412618092364321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36497108100923137 the lambda is 2.0 the regulation term lambda/alpha is 5.4798862267923445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30521630321056076 the lambda is 2.0 the regulation term lambda/alpha is 6.552729913055307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30582930016414456 the lambda is 2.0 the regulation term lambda/alpha is 6.539595777535249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36175226416416584 the lambda is 2.0 the regulation term lambda/alpha is 5.528645424296184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2980141779634334 the lambda is 2.0 the regulation term lambda/alpha is 6.711090102046762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32579117910344835 the lambda is 2.0 the regulation term lambda/alpha is 6.138901628656253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29783339271409653 the lambda is 2.0 the regulation term lambda/alpha is 6.7151637423003425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29734357724248406 the lambda is 2.0 the regulation term lambda/alpha is 6.726225663078632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2772044921072558 the lambda is 2.0 the regulation term lambda/alpha is 7.214890295595071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2837098151711978 the lambda is 2.0 the regulation term lambda/alpha is 7.0494564976299765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3002601284217123 the lambda is 2.0 the regulation term lambda/alpha is 6.660891043085882 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.328688574237345 the lambda is 2.0 the regulation term lambda/alpha is 6.08478711084069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28628831525736603 the lambda is 2.0 the regulation term lambda/alpha is 6.9859644750155105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33377670709020746 the lambda is 2.0 the regulation term lambda/alpha is 5.992029873610905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33020378858992744 the lambda is 2.0 the regulation term lambda/alpha is 6.056865696606995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36631455272798935 the lambda is 2.0 the regulation term lambda/alpha is 5.459788548136444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.302566567782854 the lambda is 2.0 the regulation term lambda/alpha is 6.610115633910222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3532776986185452 the lambda is 2.0 the regulation term lambda/alpha is 5.661268763414127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3761592181437147 the lambda is 2.0 the regulation term lambda/alpha is 5.316897482586439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.347983682893773 the lambda is 2.0 the regulation term lambda/alpha is 5.747395922039622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35104050426683325 the lambda is 2.0 the regulation term lambda/alpha is 5.697348242411816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33686895289592234 the lambda is 2.0 the regulation term lambda/alpha is 5.937026795751972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28053307396820665 the lambda is 2.0 the regulation term lambda/alpha is 7.129284157869613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2970762479596257 the lambda is 2.0 the regulation term lambda/alpha is 6.73227837545535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35316626006653606 the lambda is 2.0 the regulation term lambda/alpha is 5.663055127698786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27347725630376607 the lambda is 2.0 the regulation term lambda/alpha is 7.313222412098837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2960390260451574 the lambda is 2.0 the regulation term lambda/alpha is 6.755866031308057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2862466173745178 the lambda is 2.0 the regulation term lambda/alpha is 6.986982128711938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29199195369930253 the lambda is 2.0 the regulation term lambda/alpha is 6.849503812216786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2893252614180027 the lambda is 2.0 the regulation term lambda/alpha is 6.912635247257238 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32745708157219106 the lambda is 2.0 the regulation term lambda/alpha is 6.107670630903979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34457906810218003 the lambda is 2.0 the regulation term lambda/alpha is 5.804183089284252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29297390190422534 the lambda is 2.0 the regulation term lambda/alpha is 6.826546620708251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27555628607720106 the lambda is 2.0 the regulation term lambda/alpha is 7.258045274422342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32919507712311724 the lambda is 2.0 the regulation term lambda/alpha is 6.075424995653901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31620735746090867 the lambda is 2.0 the regulation term lambda/alpha is 6.324963517799396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3016029525850041 the lambda is 2.0 the regulation term lambda/alpha is 6.631234816696026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32401454797615514 the lambda is 2.0 the regulation term lambda/alpha is 6.172562350957105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29414472261922764 the lambda is 2.0 the regulation term lambda/alpha is 6.799374070664575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3584684026261605 the lambda is 2.0 the regulation term lambda/alpha is 5.579292304001924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28816391668990404 the lambda is 2.0 the regulation term lambda/alpha is 6.940494226250468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30297889387423405 the lambda is 2.0 the regulation term lambda/alpha is 6.601119881407304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.41400891105867127 the lambda is 2.0 the regulation term lambda/alpha is 4.830813894526464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2515140785971996 the lambda is 2.0 the regulation term lambda/alpha is 7.95184115002566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008534844801234 the lambda is 2.0 the regulation term lambda/alpha is 6.647754150017613 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32638195114304547 the lambda is 2.0 the regulation term lambda/alpha is 6.127789827212129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3118057475713442 the lambda is 2.0 the regulation term lambda/alpha is 6.414249947533056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30757521302376994 the lambda is 2.0 the regulation term lambda/alpha is 6.502474566588162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2909749676337493 the lambda is 2.0 the regulation term lambda/alpha is 6.873443500189348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191940673258141 the lambda is 2.0 the regulation term lambda/alpha is 6.265780616650748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31014076767835824 the lambda is 2.0 the regulation term lambda/alpha is 6.448684624635244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32535764987882326 the lambda is 2.0 the regulation term lambda/alpha is 6.147081529341275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30556625154765477 the lambda is 2.0 the regulation term lambda/alpha is 6.545225429412609 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3030351788444418 the lambda is 2.0 the regulation term lambda/alpha is 6.599893806476731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32437516764768204 the lambda is 2.0 the regulation term lambda/alpha is 6.165700088893016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3554073285341826 the lambda is 2.0 the regulation term lambda/alpha is 5.627345975809395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29850781480897803 the lambda is 2.0 the regulation term lambda/alpha is 6.699992096621811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31502038383933284 the lambda is 2.0 the regulation term lambda/alpha is 6.348795514832599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30307574073636956 the lambda is 2.0 the regulation term lambda/alpha is 6.599010515129616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34980379063525924 the lambda is 2.0 the regulation term lambda/alpha is 5.717490929323296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29377598859716625 the lambda is 2.0 the regulation term lambda/alpha is 6.807908330256545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33169903318344407 the lambda is 2.0 the regulation term lambda/alpha is 6.029562343927341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30236253362953763 the lambda is 2.0 the regulation term lambda/alpha is 6.614576138095375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32469386381923404 the lambda is 2.0 the regulation term lambda/alpha is 6.159648280613811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33888718108962185 the lambda is 2.0 the regulation term lambda/alpha is 5.901669085178768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29399032095075883 the lambda is 2.0 the regulation term lambda/alpha is 6.8029450545583945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2798534045496636 the lambda is 2.0 the regulation term lambda/alpha is 7.146598781667042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2539708495794944 the lambda is 2.0 the regulation term lambda/alpha is 7.874919516595892 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3640037684070272 the lambda is 2.0 the regulation term lambda/alpha is 5.4944486117616504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31747113815648703 the lambda is 2.0 the regulation term lambda/alpha is 6.299785270603608 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3466838159778321 the lambda is 2.0 the regulation term lambda/alpha is 5.768945384309158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3088268943871693 the lambda is 2.0 the regulation term lambda/alpha is 6.4761199116701444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32864749309029895 the lambda is 2.0 the regulation term lambda/alpha is 6.085547713125204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3210425112872544 the lambda is 2.0 the regulation term lambda/alpha is 6.229704570839498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32281235858081825 the lambda is 2.0 the regulation term lambda/alpha is 6.195549664804071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34430820097242265 the lambda is 2.0 the regulation term lambda/alpha is 5.808749237896282 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078645061611972 the lambda is 2.0 the regulation term lambda/alpha is 6.496364342022605 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32075368527229564 the lambda is 2.0 the regulation term lambda/alpha is 6.235314173560161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28209808999116665 the lambda is 2.0 the regulation term lambda/alpha is 7.089732511349602 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34316871000417304 the lambda is 2.0 the regulation term lambda/alpha is 5.828037177327966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30908027787402126 the lambda is 2.0 the regulation term lambda/alpha is 6.470810799565751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2984611315640047 the lambda is 2.0 the regulation term lambda/alpha is 6.701040063473397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38239004973935564 the lambda is 2.0 the regulation term lambda/alpha is 5.230261617328271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3524438460856691 the lambda is 2.0 the regulation term lambda/alpha is 5.674662849734811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3431096327924707 the lambda is 2.0 the regulation term lambda/alpha is 5.829040658877965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3355217546432805 the lambda is 2.0 the regulation term lambda/alpha is 5.960865345754874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33285734350979596 the lambda is 2.0 the regulation term lambda/alpha is 6.008580068900118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29700221206327443 the lambda is 2.0 the regulation term lambda/alpha is 6.733956579333197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3002890059754702 the lambda is 2.0 the regulation term lambda/alpha is 6.660250492698273 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30022108786608576 the lambda is 2.0 the regulation term lambda/alpha is 6.66175722103873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2993844018149335 the lambda is 2.0 the regulation term lambda/alpha is 6.680374755249653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3502279344180299 the lambda is 2.0 the regulation term lambda/alpha is 5.710566757969718 760 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32265380576927843 the lambda is 2.0 the regulation term lambda/alpha is 6.198594171953296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2818607681932277 the lambda is 2.0 the regulation term lambda/alpha is 7.095701941140364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3005515974393341 the lambda is 2.0 the regulation term lambda/alpha is 6.65443144218755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27918281349531576 the lambda is 2.0 the regulation term lambda/alpha is 7.163764756721161 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3521364726739621 the lambda is 2.0 the regulation term lambda/alpha is 5.679616157942748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30045044697939505 the lambda is 2.0 the regulation term lambda/alpha is 6.656671741071367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31884620783327705 the lambda is 2.0 the regulation term lambda/alpha is 6.272616549498965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2692559670246984 the lambda is 2.0 the regulation term lambda/alpha is 7.427876240219194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30857975476132216 the lambda is 2.0 the regulation term lambda/alpha is 6.4813065962378005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3120575402838865 the lambda is 2.0 the regulation term lambda/alpha is 6.409074423199486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35083784580981586 the lambda is 2.0 the regulation term lambda/alpha is 5.70063926650653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3440739933515538 the lambda is 2.0 the regulation term lambda/alpha is 5.81270319363115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3246355573792033 the lambda is 2.0 the regulation term lambda/alpha is 6.160754589380428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32319587033418906 the lambda is 2.0 the regulation term lambda/alpha is 6.188197881154768 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27691605990753904 the lambda is 2.0 the regulation term lambda/alpha is 7.2224052323573815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3379157584232631 the lambda is 2.0 the regulation term lambda/alpha is 5.9186348968516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31166565782177824 the lambda is 2.0 the regulation term lambda/alpha is 6.417133071310901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31218026637372664 the lambda is 2.0 the regulation term lambda/alpha is 6.406554851246426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3778611948383879 the lambda is 2.0 the regulation term lambda/alpha is 5.2929489117171835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3112946589960967 the lambda is 2.0 the regulation term lambda/alpha is 6.424780966206933 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3405008703347957 the lambda is 2.0 the regulation term lambda/alpha is 5.873700111349232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3510102714106382 the lambda is 2.0 the regulation term lambda/alpha is 5.697838960559219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3254275555409191 the lambda is 2.0 the regulation term lambda/alpha is 6.145761064012051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3641499201772943 the lambda is 2.0 the regulation term lambda/alpha is 5.4922434117965935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28137756017596227 the lambda is 2.0 the regulation term lambda/alpha is 7.107887348050356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3172518721329288 the lambda is 2.0 the regulation term lambda/alpha is 6.304139315408037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2913630961464311 the lambda is 2.0 the regulation term lambda/alpha is 6.864287298055259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3282169873483449 the lambda is 2.0 the regulation term lambda/alpha is 6.093529820494482 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298577537756914 the lambda is 2.0 the regulation term lambda/alpha is 6.698427534184752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32200976349506555 the lambda is 2.0 the regulation term lambda/alpha is 6.210991798174616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35425277308098363 the lambda is 2.0 the regulation term lambda/alpha is 5.645686221749891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.271981215902086 the lambda is 2.0 the regulation term lambda/alpha is 7.353448999654467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2936717322251655 the lambda is 2.0 the regulation term lambda/alpha is 6.8103252051053715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28821394224235586 the lambda is 2.0 the regulation term lambda/alpha is 6.939289558442743 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3650680504904116 the lambda is 2.0 the regulation term lambda/alpha is 5.4784306578275315 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3020538984938697 the lambda is 2.0 the regulation term lambda/alpha is 6.621334834519908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3066122468380275 the lambda is 2.0 the regulation term lambda/alpha is 6.5228966573423595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3186675176534697 the lambda is 2.0 the regulation term lambda/alpha is 6.2761338674463545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.297855514433901 the lambda is 2.0 the regulation term lambda/alpha is 6.714665007297801 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27743909531779515 the lambda is 2.0 the regulation term lambda/alpha is 7.2087893658573305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30004494504639073 the lambda is 2.0 the regulation term lambda/alpha is 6.665668037469436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3490094392962209 the lambda is 2.0 the regulation term lambda/alpha is 5.730504034598631 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3048258711930822 the lambda is 2.0 the regulation term lambda/alpha is 6.561122886886343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31592364051100874 the lambda is 2.0 the regulation term lambda/alpha is 6.330643685812767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3438693705987888 the lambda is 2.0 the regulation term lambda/alpha is 5.816162098175092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981165730507352 the lambda is 2.0 the regulation term lambda/alpha is 6.70878502168891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.296448231874821 the lambda is 2.0 the regulation term lambda/alpha is 6.74654049157738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302145097435581 the lambda is 2.0 the regulation term lambda/alpha is 6.056669046896769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2812650116645667 the lambda is 2.0 the regulation term lambda/alpha is 7.110731577183074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38910181164317537 the lambda is 2.0 the regulation term lambda/alpha is 5.14004288891385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2922777095077488 the lambda is 2.0 the regulation term lambda/alpha is 6.842807148613488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3133708490244645 the lambda is 2.0 the regulation term lambda/alpha is 6.382214574923216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.332215732241034 the lambda is 2.0 the regulation term lambda/alpha is 6.020184494300019 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31618047770651503 the lambda is 2.0 the regulation term lambda/alpha is 6.325501227993081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3218660980553795 the lambda is 2.0 the regulation term lambda/alpha is 6.213764084143726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32440280905495444 the lambda is 2.0 the regulation term lambda/alpha is 6.165174727760129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2915067013718778 the lambda is 2.0 the regulation term lambda/alpha is 6.860905737630304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29882210726057 the lambda is 2.0 the regulation term lambda/alpha is 6.692945238673453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32380339182447915 the lambda is 2.0 the regulation term lambda/alpha is 6.17658755435187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30954064131999304 the lambda is 2.0 the regulation term lambda/alpha is 6.461187104450253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3277021043710971 the lambda is 2.0 the regulation term lambda/alpha is 6.103103926775996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2972288969591652 the lambda is 2.0 the regulation term lambda/alpha is 6.728820853090775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31735729867621837 the lambda is 2.0 the regulation term lambda/alpha is 6.302045071414874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30789109560867733 the lambda is 2.0 the regulation term lambda/alpha is 6.495803316579038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3459410429611079 the lambda is 2.0 the regulation term lambda/alpha is 5.7813319370284955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.367382299130897 the lambda is 2.0 the regulation term lambda/alpha is 5.443920419495789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3171958093540036 the lambda is 2.0 the regulation term lambda/alpha is 6.3052535406226555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2659532488537375 the lambda is 2.0 the regulation term lambda/alpha is 7.520118699884398 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3271809045327316 the lambda is 2.0 the regulation term lambda/alpha is 6.112826183595068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3488385200242684 the lambda is 2.0 the regulation term lambda/alpha is 5.733311790970967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3156917789040851 the lambda is 2.0 the regulation term lambda/alpha is 6.335293262760729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32728806753164896 the lambda is 2.0 the regulation term lambda/alpha is 6.11082467834425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3032427762277816 the lambda is 2.0 the regulation term lambda/alpha is 6.595375576227065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087398375624305 the lambda is 2.0 the regulation term lambda/alpha is 6.477946013674308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31884521362029883 the lambda is 2.0 the regulation term lambda/alpha is 6.272636108571877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262212229220782 the lambda is 2.0 the regulation term lambda/alpha is 6.130808970934805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2650224910805505 the lambda is 2.0 the regulation term lambda/alpha is 7.546529322268439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.300985038589767 the lambda is 2.0 the regulation term lambda/alpha is 6.644848559153587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.333405982814251 the lambda is 2.0 the regulation term lambda/alpha is 5.998692594290521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2810025764747488 the lambda is 2.0 the regulation term lambda/alpha is 7.117372463592775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2698667258861759 the lambda is 2.0 the regulation term lambda/alpha is 7.411065567392543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.322917706074375 the lambda is 2.0 the regulation term lambda/alpha is 6.193528451299467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34882011842554494 the lambda is 2.0 the regulation term lambda/alpha is 5.733614245151105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33413318936305286 the lambda is 2.0 the regulation term lambda/alpha is 5.985637056326354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29427556515535136 the lambda is 2.0 the regulation term lambda/alpha is 6.796350892892441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32581599071361783 the lambda is 2.0 the regulation term lambda/alpha is 6.138434137684599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2869657301770425 the lambda is 2.0 the regulation term lambda/alpha is 6.969473319222148 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031945529168799 the lambda is 2.0 the regulation term lambda/alpha is 6.596424575438515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3274699301526323 the lambda is 2.0 the regulation term lambda/alpha is 6.107430990893755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30771250943083306 the lambda is 2.0 the regulation term lambda/alpha is 6.499573266291131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3329074344461357 the lambda is 2.0 the regulation term lambda/alpha is 6.007675987553228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2918250886526929 the lambda is 2.0 the regulation term lambda/alpha is 6.853420345843676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2942066019608384 the lambda is 2.0 the regulation term lambda/alpha is 6.79794398450045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3225383362192601 the lambda is 2.0 the regulation term lambda/alpha is 6.200813284534367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3091786026006017 the lambda is 2.0 the regulation term lambda/alpha is 6.468752957602337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3092128717004525 the lambda is 2.0 the regulation term lambda/alpha is 6.468036045852205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29890565791896834 the lambda is 2.0 the regulation term lambda/alpha is 6.691074414329718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.324698875805316 the lambda is 2.0 the regulation term lambda/alpha is 6.159553201530536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29670275137532287 the lambda is 2.0 the regulation term lambda/alpha is 6.7407531299567935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27984459809754303 the lambda is 2.0 the regulation term lambda/alpha is 7.146823678557759 770 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3218703072815777 the lambda is 2.0 the regulation term lambda/alpha is 6.213682824276069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32144560492971475 the lambda is 2.0 the regulation term lambda/alpha is 6.221892504759265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3501959958526623 the lambda is 2.0 the regulation term lambda/alpha is 5.711087572918619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.324909361511218 the lambda is 2.0 the regulation term lambda/alpha is 6.155562864355778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3160209513431154 the lambda is 2.0 the regulation term lambda/alpha is 6.328694320739916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2954704504734489 the lambda is 2.0 the regulation term lambda/alpha is 6.768866385099721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4014717963859017 the lambda is 2.0 the regulation term lambda/alpha is 4.981669990281373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30460187785067183 the lambda is 2.0 the regulation term lambda/alpha is 6.565947702333211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3066543151559881 the lambda is 2.0 the regulation term lambda/alpha is 6.522001814918682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3032822024725485 the lambda is 2.0 the regulation term lambda/alpha is 6.594518187004493 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31313302673475973 the lambda is 2.0 the regulation term lambda/alpha is 6.387061821154068 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3744192194157176 the lambda is 2.0 the regulation term lambda/alpha is 5.341606136354343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2917567996869123 the lambda is 2.0 the regulation term lambda/alpha is 6.855024466083477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2697891091986352 the lambda is 2.0 the regulation term lambda/alpha is 7.413197685928375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33963491932628315 the lambda is 2.0 the regulation term lambda/alpha is 5.888676005303872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3232133489538795 the lambda is 2.0 the regulation term lambda/alpha is 6.1878632379301495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.355597114274001 the lambda is 2.0 the regulation term lambda/alpha is 5.6243426049259915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31129470273111265 the lambda is 2.0 the regulation term lambda/alpha is 6.424780063564211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30719245061001776 the lambda is 2.0 the regulation term lambda/alpha is 6.51057666302812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2986573843903704 the lambda is 2.0 the regulation term lambda/alpha is 6.696636696535959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3245120430525262 the lambda is 2.0 the regulation term lambda/alpha is 6.163099468318579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31862991992371387 the lambda is 2.0 the regulation term lambda/alpha is 6.276874439408698 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3220893089018347 the lambda is 2.0 the regulation term lambda/alpha is 6.209457888617947 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2995171572048011 the lambda is 2.0 the regulation term lambda/alpha is 6.677413803819119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3657498219880235 the lambda is 2.0 the regulation term lambda/alpha is 5.468218655935504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29378520752694204 the lambda is 2.0 the regulation term lambda/alpha is 6.8076946992526395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078647794585103 the lambda is 2.0 the regulation term lambda/alpha is 6.49635857507868 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3096980776183228 the lambda is 2.0 the regulation term lambda/alpha is 6.457902533269303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3662960636800645 the lambda is 2.0 the regulation term lambda/alpha is 5.460064134751031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32223241739874936 the lambda is 2.0 the regulation term lambda/alpha is 6.20670017047069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3331728000671904 the lambda is 2.0 the regulation term lambda/alpha is 6.0028909910912995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3616361957562333 the lambda is 2.0 the regulation term lambda/alpha is 5.53041986247453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33362112680418554 the lambda is 2.0 the regulation term lambda/alpha is 5.994824186220896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31995591479294117 the lambda is 2.0 the regulation term lambda/alpha is 6.250861157838873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3281123444939355 the lambda is 2.0 the regulation term lambda/alpha is 6.0954731925270975 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2760881331504677 the lambda is 2.0 the regulation term lambda/alpha is 7.244063615403572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32549561931689763 the lambda is 2.0 the regulation term lambda/alpha is 6.1444759354897185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32567801327541085 the lambda is 2.0 the regulation term lambda/alpha is 6.1410347597173915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2806344961103284 the lambda is 2.0 the regulation term lambda/alpha is 7.126707613356705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31549288770219286 the lambda is 2.0 the regulation term lambda/alpha is 6.339287121704896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32131612590837827 the lambda is 2.0 the regulation term lambda/alpha is 6.224399707129203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30246717763199116 the lambda is 2.0 the regulation term lambda/alpha is 6.612287705588275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3124442857067033 the lambda is 2.0 the regulation term lambda/alpha is 6.401141232192141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3006397100211257 the lambda is 2.0 the regulation term lambda/alpha is 6.652481137170674 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28853987686894716 the lambda is 2.0 the regulation term lambda/alpha is 6.931450937398114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3036615255648084 the lambda is 2.0 the regulation term lambda/alpha is 6.5862805512816065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3086329445352521 the lambda is 2.0 the regulation term lambda/alpha is 6.480189608441362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27218252740856874 the lambda is 2.0 the regulation term lambda/alpha is 7.348010245337433 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29951280441166256 the lambda is 2.0 the regulation term lambda/alpha is 6.677510846084292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2791334782858948 the lambda is 2.0 the regulation term lambda/alpha is 7.16503091023555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32705751523986887 the lambda is 2.0 the regulation term lambda/alpha is 6.115132375212874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3057799612906927 the lambda is 2.0 the regulation term lambda/alpha is 6.540650968618184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3223663943503222 the lambda is 2.0 the regulation term lambda/alpha is 6.204120637421526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31030711822053486 the lambda is 2.0 the regulation term lambda/alpha is 6.445227590875317 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3055258482068246 the lambda is 2.0 the regulation term lambda/alpha is 6.5460909829341425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3160961838756382 the lambda is 2.0 the regulation term lambda/alpha is 6.327188058641228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31395066594928916 the lambda is 2.0 the regulation term lambda/alpha is 6.370427640128177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30384079715526574 the lambda is 2.0 the regulation term lambda/alpha is 6.582394526097756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33249344647000945 the lambda is 2.0 the regulation term lambda/alpha is 6.015156151898464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3104401641995634 the lambda is 2.0 the regulation term lambda/alpha is 6.442465346443767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.329809417161584 the lambda is 2.0 the regulation term lambda/alpha is 6.06410822714664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.328886498443971 the lambda is 2.0 the regulation term lambda/alpha is 6.081125280187564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30481486833657356 the lambda is 2.0 the regulation term lambda/alpha is 6.561359722753484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3020602292763861 the lambda is 2.0 the regulation term lambda/alpha is 6.6211960601075805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3745962536329343 the lambda is 2.0 the regulation term lambda/alpha is 5.339081692898599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2901467339135588 the lambda is 2.0 the regulation term lambda/alpha is 6.893063978434598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2984948214512523 the lambda is 2.0 the regulation term lambda/alpha is 6.700283744542696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28979712554035353 the lambda is 2.0 the regulation term lambda/alpha is 6.901379702337679 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31197666432739746 the lambda is 2.0 the regulation term lambda/alpha is 6.410735893698579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3101651490578202 the lambda is 2.0 the regulation term lambda/alpha is 6.448177708151102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3337099804725998 the lambda is 2.0 the regulation term lambda/alpha is 5.993228003452583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3299496682515118 the lambda is 2.0 the regulation term lambda/alpha is 6.061530567975761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33501434744357245 the lambda is 2.0 the regulation term lambda/alpha is 5.969893573996458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3716574075514408 the lambda is 2.0 the regulation term lambda/alpha is 5.381299980475115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31480698290699616 the lambda is 2.0 the regulation term lambda/alpha is 6.353099227760341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2953896055849467 the lambda is 2.0 the regulation term lambda/alpha is 6.7707189494345625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3035486413323426 the lambda is 2.0 the regulation term lambda/alpha is 6.58872986952455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3785473970237776 the lambda is 2.0 the regulation term lambda/alpha is 5.283354252926944 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31265027110832355 the lambda is 2.0 the regulation term lambda/alpha is 6.396923926885266 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3444113421446987 the lambda is 2.0 the regulation term lambda/alpha is 5.807009686573369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31997401915765256 the lambda is 2.0 the regulation term lambda/alpha is 6.250507479529428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3577522594713224 the lambda is 2.0 the regulation term lambda/alpha is 5.59046084839702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38654090987309214 the lambda is 2.0 the regulation term lambda/alpha is 5.1740965805058865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28346208011037394 the lambda is 2.0 the regulation term lambda/alpha is 7.055617454092074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29991274371021276 the lambda is 2.0 the regulation term lambda/alpha is 6.66860625946751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33615742376570884 the lambda is 2.0 the regulation term lambda/alpha is 5.949593430350469 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33507650502356295 the lambda is 2.0 the regulation term lambda/alpha is 5.968786142911923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3230980107752839 the lambda is 2.0 the regulation term lambda/alpha is 6.190072155507664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3204137481456039 the lambda is 2.0 the regulation term lambda/alpha is 6.241929416496669 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33004648703093425 the lambda is 2.0 the regulation term lambda/alpha is 6.05975242455026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33622666205582447 the lambda is 2.0 the regulation term lambda/alpha is 5.948368245906494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31809370510234053 the lambda is 2.0 the regulation term lambda/alpha is 6.2874554507658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29847640910049705 the lambda is 2.0 the regulation term lambda/alpha is 6.700697070255223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31562969128895035 the lambda is 2.0 the regulation term lambda/alpha is 6.336539480276761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33220242037655573 the lambda is 2.0 the regulation term lambda/alpha is 6.02042573239826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2914348439093544 the lambda is 2.0 the regulation term lambda/alpha is 6.862597392856923 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28593154011917804 the lambda is 2.0 the regulation term lambda/alpha is 6.9946813113600115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3218797403315036 the lambda is 2.0 the regulation term lambda/alpha is 6.2135007252715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3106258928974123 the lambda is 2.0 the regulation term lambda/alpha is 6.438613282829331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.281130742553954 the lambda is 2.0 the regulation term lambda/alpha is 7.114127689596823 780 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3397215294653892 the lambda is 2.0 the regulation term lambda/alpha is 5.88717471968099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30317784708190043 the lambda is 2.0 the regulation term lambda/alpha is 6.596788054437632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3520209698437165 the lambda is 2.0 the regulation term lambda/alpha is 5.681479716642794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280747635939085 the lambda is 2.0 the regulation term lambda/alpha is 6.096171427789561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3073760248544933 the lambda is 2.0 the regulation term lambda/alpha is 6.506688350032397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3253720592010761 the lambda is 2.0 the regulation term lambda/alpha is 6.14680930166786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33255077485168427 the lambda is 2.0 the regulation term lambda/alpha is 6.014119199968752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3576310787834904 the lambda is 2.0 the regulation term lambda/alpha is 5.592355135362268 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32216790923070104 the lambda is 2.0 the regulation term lambda/alpha is 6.2079429474393155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34360467430468955 the lambda is 2.0 the regulation term lambda/alpha is 5.820642585980979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3167467891599999 the lambda is 2.0 the regulation term lambda/alpha is 6.3141918669607415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35870066785959004 the lambda is 2.0 the regulation term lambda/alpha is 5.575679610339842 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33296919239705236 the lambda is 2.0 the regulation term lambda/alpha is 6.0065617050092746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30778540321209236 the lambda is 2.0 the regulation term lambda/alpha is 6.498033951992897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3539607243466664 the lambda is 2.0 the regulation term lambda/alpha is 5.650344409514812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208717678958522 the lambda is 2.0 the regulation term lambda/alpha is 6.233019542713883 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3212406196329653 the lambda is 2.0 the regulation term lambda/alpha is 6.22586272646687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3108503434207798 the lambda is 2.0 the regulation term lambda/alpha is 6.433964260714095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3144744036740921 the lambda is 2.0 the regulation term lambda/alpha is 6.35981808577564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316562414723062 the lambda is 2.0 the regulation term lambda/alpha is 6.317869421578863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33385466229343297 the lambda is 2.0 the regulation term lambda/alpha is 5.990630732130233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3282205317075831 the lambda is 2.0 the regulation term lambda/alpha is 6.093464018216362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35390020945661005 the lambda is 2.0 the regulation term lambda/alpha is 5.6513105857463755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2699779977678716 the lambda is 2.0 the regulation term lambda/alpha is 7.408011084368473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3185662453780258 the lambda is 2.0 the regulation term lambda/alpha is 6.278129051703846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27288728582342814 the lambda is 2.0 the regulation term lambda/alpha is 7.329033281873385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3026305957476088 the lambda is 2.0 the regulation term lambda/alpha is 6.608717122798721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3390671016174508 the lambda is 2.0 the regulation term lambda/alpha is 5.898537458984979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2882988487462793 the lambda is 2.0 the regulation term lambda/alpha is 6.937245877662601 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33881696358045593 the lambda is 2.0 the regulation term lambda/alpha is 5.902892165920368 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3015001021530864 the lambda is 2.0 the regulation term lambda/alpha is 6.633496923276336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2748933252016479 the lambda is 2.0 the regulation term lambda/alpha is 7.275549519192221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3026866385908681 the lambda is 2.0 the regulation term lambda/alpha is 6.60749350982531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31083472849674615 the lambda is 2.0 the regulation term lambda/alpha is 6.434287473836554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32775991068292615 the lambda is 2.0 the regulation term lambda/alpha is 6.10202753543826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3050377808953642 the lambda is 2.0 the regulation term lambda/alpha is 6.556564875765509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2924096648836687 the lambda is 2.0 the regulation term lambda/alpha is 6.839719202837134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.338646480393959 the lambda is 2.0 the regulation term lambda/alpha is 5.905863830840149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3520382128984278 the lambda is 2.0 the regulation term lambda/alpha is 5.681201434166614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30829025683133676 the lambda is 2.0 the regulation term lambda/alpha is 6.487392824399847 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35899432622229854 the lambda is 2.0 the regulation term lambda/alpha is 5.571118688827267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32515119014831756 the lambda is 2.0 the regulation term lambda/alpha is 6.150984712950615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3539911491651698 the lambda is 2.0 the regulation term lambda/alpha is 5.649858773917575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996872295550984 the lambda is 2.0 the regulation term lambda/alpha is 6.673624374882794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3041474081045973 the lambda is 2.0 the regulation term lambda/alpha is 6.57575881531824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.285573552708842 the lambda is 2.0 the regulation term lambda/alpha is 7.003449657815864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302539839252702 the lambda is 2.0 the regulation term lambda/alpha is 6.055945112996909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089048671136261 the lambda is 2.0 the regulation term lambda/alpha is 6.474485231287501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3444336506829067 the lambda is 2.0 the regulation term lambda/alpha is 5.806633573794579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3374820224940903 the lambda is 2.0 the regulation term lambda/alpha is 5.926241597165438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3541896468452207 the lambda is 2.0 the regulation term lambda/alpha is 5.646692436704654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3318015206507441 the lambda is 2.0 the regulation term lambda/alpha is 6.027699921560064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2539604990720822 the lambda is 2.0 the regulation term lambda/alpha is 7.875240469709171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3777773934905111 the lambda is 2.0 the regulation term lambda/alpha is 5.29412303240489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38910693068900337 the lambda is 2.0 the regulation term lambda/alpha is 5.139975267103415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34345254734723424 the lambda is 2.0 the regulation term lambda/alpha is 5.823220748972866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3583751434878278 the lambda is 2.0 the regulation term lambda/alpha is 5.580744190390342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31210156112190607 the lambda is 2.0 the regulation term lambda/alpha is 6.408170445577506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3490086779690144 the lambda is 2.0 the regulation term lambda/alpha is 5.730516535114819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35963600263520323 the lambda is 2.0 the regulation term lambda/alpha is 5.561178484203929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303333917354428 the lambda is 2.0 the regulation term lambda/alpha is 6.593393898853443 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3186491404224534 the lambda is 2.0 the regulation term lambda/alpha is 6.276495826564832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33307517426428074 the lambda is 2.0 the regulation term lambda/alpha is 6.004650464922031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2909290319624738 the lambda is 2.0 the regulation term lambda/alpha is 6.874528769125987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3272494820648197 the lambda is 2.0 the regulation term lambda/alpha is 6.111545195979414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3326904239045073 the lambda is 2.0 the regulation term lambda/alpha is 6.0115947328080095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3154706448921885 the lambda is 2.0 the regulation term lambda/alpha is 6.339734084239426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31152671359113554 the lambda is 2.0 the regulation term lambda/alpha is 6.4199951809747775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31495046472591487 the lambda is 2.0 the regulation term lambda/alpha is 6.350204949659296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3496133755686265 the lambda is 2.0 the regulation term lambda/alpha is 5.7206049303666155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2888875500481798 the lambda is 2.0 the regulation term lambda/alpha is 6.92310900786983 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2922430928702069 the lambda is 2.0 the regulation term lambda/alpha is 6.843617689497471 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30315197462786325 the lambda is 2.0 the regulation term lambda/alpha is 6.5973510561991775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32526166312848354 the lambda is 2.0 the regulation term lambda/alpha is 6.148895571532413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3391340282743845 the lambda is 2.0 the regulation term lambda/alpha is 5.89737340772496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33339555723861936 the lambda is 2.0 the regulation term lambda/alpha is 5.998880178743807 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010931862628136 the lambda is 2.0 the regulation term lambda/alpha is 6.642461839884581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29072984642957134 the lambda is 2.0 the regulation term lambda/alpha is 6.879238662840541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3303182975025412 the lambda is 2.0 the regulation term lambda/alpha is 6.054766009396175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3046661184041511 the lambda is 2.0 the regulation term lambda/alpha is 6.564563235570962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33054966674353703 the lambda is 2.0 the regulation term lambda/alpha is 6.050527957578418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.291360797789282 the lambda is 2.0 the regulation term lambda/alpha is 6.864341445984235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3487597745131176 the lambda is 2.0 the regulation term lambda/alpha is 5.734606299686019 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3153278978846177 the lambda is 2.0 the regulation term lambda/alpha is 6.342604043020083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29650082916465287 the lambda is 2.0 the regulation term lambda/alpha is 6.745343699829452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3541685983986251 the lambda is 2.0 the regulation term lambda/alpha is 5.647028022933171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2793198087655022 the lambda is 2.0 the regulation term lambda/alpha is 7.160251214689406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3255373593813927 the lambda is 2.0 the regulation term lambda/alpha is 6.143688097122033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30485869016004846 the lambda is 2.0 the regulation term lambda/alpha is 6.560416562014406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29874266802494326 the lambda is 2.0 the regulation term lambda/alpha is 6.694724972574094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31587697680299176 the lambda is 2.0 the regulation term lambda/alpha is 6.331578895816055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32985106918561496 the lambda is 2.0 the regulation term lambda/alpha is 6.063342480404551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.318305928978137 the lambda is 2.0 the regulation term lambda/alpha is 6.283263420259354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3233497865819234 the lambda is 2.0 the regulation term lambda/alpha is 6.1852522654852065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3288618957391735 the lambda is 2.0 the regulation term lambda/alpha is 6.081580219273069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38294900011497984 the lambda is 2.0 the regulation term lambda/alpha is 5.222627554581688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3230914885601593 the lambda is 2.0 the regulation term lambda/alpha is 6.190197113866719 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3538801478590424 the lambda is 2.0 the regulation term lambda/alpha is 5.651630960651232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3133672288816521 the lambda is 2.0 the regulation term lambda/alpha is 6.382288304803342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3182996007933291 the lambda is 2.0 the regulation term lambda/alpha is 6.283388339209994 790 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3160557877128354 the lambda is 2.0 the regulation term lambda/alpha is 6.327996758019116 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31122740344701677 the lambda is 2.0 the regulation term lambda/alpha is 6.426169347071904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2919223310285046 the lambda is 2.0 the regulation term lambda/alpha is 6.85113739998435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3653037328211776 the lambda is 2.0 the regulation term lambda/alpha is 5.474896148896003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32006092968656547 the lambda is 2.0 the regulation term lambda/alpha is 6.248810193604677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2460295102566703 the lambda is 2.0 the regulation term lambda/alpha is 8.129106130047163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3220378465855518 the lambda is 2.0 the regulation term lambda/alpha is 6.210450172876451 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2617167886783814 the lambda is 2.0 the regulation term lambda/alpha is 7.641848312825513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3012370456554056 the lambda is 2.0 the regulation term lambda/alpha is 6.6392896519369735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2942338584396635 the lambda is 2.0 the regulation term lambda/alpha is 6.7973142540634095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3200993176972562 the lambda is 2.0 the regulation term lambda/alpha is 6.248060803089752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3521424957624128 the lambda is 2.0 the regulation term lambda/alpha is 5.679519013091169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32899199635048015 the lambda is 2.0 the regulation term lambda/alpha is 6.07917524494842 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3113437015893183 the lambda is 2.0 the regulation term lambda/alpha is 6.423768940211691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32924253297704587 the lambda is 2.0 the regulation term lambda/alpha is 6.074549305388305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32593982378443387 the lambda is 2.0 the regulation term lambda/alpha is 6.136101985876803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35660547177002366 the lambda is 2.0 the regulation term lambda/alpha is 5.6084389004827395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31908491030232367 the lambda is 2.0 the regulation term lambda/alpha is 6.267924102412296 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35531125061912744 the lambda is 2.0 the regulation term lambda/alpha is 5.628867637923126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3034474390332126 the lambda is 2.0 the regulation term lambda/alpha is 6.590927266916556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3206839127072698 the lambda is 2.0 the regulation term lambda/alpha is 6.23667081742782 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.359325459280453 the lambda is 2.0 the regulation term lambda/alpha is 5.565984675856221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010297173124944 the lambda is 2.0 the regulation term lambda/alpha is 6.643862333112549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28959153395879256 the lambda is 2.0 the regulation term lambda/alpha is 6.9062792432481475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33458328179855407 the lambda is 2.0 the regulation term lambda/alpha is 5.977584980483753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3456486643114348 the lambda is 2.0 the regulation term lambda/alpha is 5.786222272793072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168583488061711 the lambda is 2.0 the regulation term lambda/alpha is 6.31196876312526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3118659181696513 the lambda is 2.0 the regulation term lambda/alpha is 6.413012398847712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3260877702647687 the lambda is 2.0 the regulation term lambda/alpha is 6.133318027769301 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3062096454706404 the lambda is 2.0 the regulation term lambda/alpha is 6.531472896374721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29218184176589773 the lambda is 2.0 the regulation term lambda/alpha is 6.845052341077521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32585731819678104 the lambda is 2.0 the regulation term lambda/alpha is 6.137655618930202 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3210464915779412 the lambda is 2.0 the regulation term lambda/alpha is 6.229627335810506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32679427523241156 the lambda is 2.0 the regulation term lambda/alpha is 6.120058249421988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3486070169335749 the lambda is 2.0 the regulation term lambda/alpha is 5.737119171015106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28834862229952557 the lambda is 2.0 the regulation term lambda/alpha is 6.936048398811062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33081382022148287 the lambda is 2.0 the regulation term lambda/alpha is 6.045696635832752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30607253797757933 the lambda is 2.0 the regulation term lambda/alpha is 6.534398718732831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3519276538343118 the lambda is 2.0 the regulation term lambda/alpha is 5.682986199605683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31603449634324055 the lambda is 2.0 the regulation term lambda/alpha is 6.32842307767513 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3544723956741163 the lambda is 2.0 the regulation term lambda/alpha is 5.642188289997896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25829825715311466 the lambda is 2.0 the regulation term lambda/alpha is 7.742986817036226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199943631477752 the lambda is 2.0 the regulation term lambda/alpha is 6.250110096709387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033213270834056 the lambda is 2.0 the regulation term lambda/alpha is 6.593667577651245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2898276146977608 the lambda is 2.0 the regulation term lambda/alpha is 6.900653694043778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199110014243807 the lambda is 2.0 the regulation term lambda/alpha is 6.251738737008555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31132652767518243 the lambda is 2.0 the regulation term lambda/alpha is 6.424123298887874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3273540237499494 the lambda is 2.0 the regulation term lambda/alpha is 6.109593452034998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3070232763912815 the lambda is 2.0 the regulation term lambda/alpha is 6.514164083934562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30655964832326 the lambda is 2.0 the regulation term lambda/alpha is 6.524015834892421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3352178871830431 the lambda is 2.0 the regulation term lambda/alpha is 5.966268735856318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31616685028058666 the lambda is 2.0 the regulation term lambda/alpha is 6.325773869793978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3565933796591369 the lambda is 2.0 the regulation term lambda/alpha is 5.608629083107978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316383936708958 the lambda is 2.0 the regulation term lambda/alpha is 6.321433448246783 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35600592146958837 the lambda is 2.0 the regulation term lambda/alpha is 5.617884083905186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3731957584317064 the lambda is 2.0 the regulation term lambda/alpha is 5.359117714533172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29026325233511513 the lambda is 2.0 the regulation term lambda/alpha is 6.890296942208025 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3279617574420048 the lambda is 2.0 the regulation term lambda/alpha is 6.098271992440066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2874611299604244 the lambda is 2.0 the regulation term lambda/alpha is 6.957462389003153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2856421624321776 the lambda is 2.0 the regulation term lambda/alpha is 7.001767466575865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2839670790656373 the lambda is 2.0 the regulation term lambda/alpha is 7.043069945223165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33834271246446596 the lambda is 2.0 the regulation term lambda/alpha is 5.911166182454862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3238563797277188 the lambda is 2.0 the regulation term lambda/alpha is 6.175576969277226 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31534683682353326 the lambda is 2.0 the regulation term lambda/alpha is 6.342223122152931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30831225954383185 the lambda is 2.0 the regulation term lambda/alpha is 6.4869298514406495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34051280214142654 the lambda is 2.0 the regulation term lambda/alpha is 5.873494292791177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32204915870301487 the lambda is 2.0 the regulation term lambda/alpha is 6.210232028099619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27770662211350644 the lambda is 2.0 the regulation term lambda/alpha is 7.201844827389619 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32282971300955826 the lambda is 2.0 the regulation term lambda/alpha is 6.19521660926169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2897141761757745 the lambda is 2.0 the regulation term lambda/alpha is 6.903355667299366 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3112499050258122 the lambda is 2.0 the regulation term lambda/alpha is 6.42570477197138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3054160613187609 the lambda is 2.0 the regulation term lambda/alpha is 6.548444084322769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3267414183508418 the lambda is 2.0 the regulation term lambda/alpha is 6.121048289790064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3198158230030943 the lambda is 2.0 the regulation term lambda/alpha is 6.253599278546795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31874882880228167 the lambda is 2.0 the regulation term lambda/alpha is 6.2745328587249185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32020261876296185 the lambda is 2.0 the regulation term lambda/alpha is 6.246045106459766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2876057545025693 the lambda is 2.0 the regulation term lambda/alpha is 6.953963780937259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25476452863732246 the lambda is 2.0 the regulation term lambda/alpha is 7.850386436045651 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31837215289033166 the lambda is 2.0 the regulation term lambda/alpha is 6.281956452042248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2830650670085008 the lambda is 2.0 the regulation term lambda/alpha is 7.065513315141558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3042569839853791 the lambda is 2.0 the regulation term lambda/alpha is 6.57339060488455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30722362089662714 the lambda is 2.0 the regulation term lambda/alpha is 6.509916113100394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010285697660849 the lambda is 2.0 the regulation term lambda/alpha is 6.643887660078596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29701170986446196 the lambda is 2.0 the regulation term lambda/alpha is 6.7337412417600575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28722179013386306 the lambda is 2.0 the regulation term lambda/alpha is 6.96325999175716 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29980216237249935 the lambda is 2.0 the regulation term lambda/alpha is 6.67106595954112 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37684009057203344 the lambda is 2.0 the regulation term lambda/alpha is 5.307290943922798 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26980303419075585 the lambda is 2.0 the regulation term lambda/alpha is 7.412815078224666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38261806026474 the lambda is 2.0 the regulation term lambda/alpha is 5.22714478928717 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34468707144519684 the lambda is 2.0 the regulation term lambda/alpha is 5.802364421776661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.24760353699485074 the lambda is 2.0 the regulation term lambda/alpha is 8.077429039479322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29770270498994306 the lambda is 2.0 the regulation term lambda/alpha is 6.718111614295085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3222874367256558 the lambda is 2.0 the regulation term lambda/alpha is 6.205640593128306 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3304696417039679 the lambda is 2.0 the regulation term lambda/alpha is 6.051993126169163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30612674619529884 the lambda is 2.0 the regulation term lambda/alpha is 6.533241622488175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3163699471733083 the lambda is 2.0 the regulation term lambda/alpha is 6.321712975172053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35535427317202445 the lambda is 2.0 the regulation term lambda/alpha is 5.628186153911295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27736656253793 the lambda is 2.0 the regulation term lambda/alpha is 7.210674501280229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3487672908957134 the lambda is 2.0 the regulation term lambda/alpha is 5.734482711562621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.304223901902155 the lambda is 2.0 the regulation term lambda/alpha is 6.574105412148857 800 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32098531483047293 the lambda is 2.0 the regulation term lambda/alpha is 6.230814643518167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3287909643385222 the lambda is 2.0 the regulation term lambda/alpha is 6.0828922230989475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2714802810679254 the lambda is 2.0 the regulation term lambda/alpha is 7.367017568025843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31057124240554584 the lambda is 2.0 the regulation term lambda/alpha is 6.439746270481758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3124780737134826 the lambda is 2.0 the regulation term lambda/alpha is 6.4004490818573085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3489263632901102 the lambda is 2.0 the regulation term lambda/alpha is 5.731868412410921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32306454949520247 the lambda is 2.0 the regulation term lambda/alpha is 6.190713289728189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3286370903788153 the lambda is 2.0 the regulation term lambda/alpha is 6.085740345664053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3030472928902796 the lambda is 2.0 the regulation term lambda/alpha is 6.599629981595362 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31581871055640576 the lambda is 2.0 the regulation term lambda/alpha is 6.332747025901104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3334715159884527 the lambda is 2.0 the regulation term lambda/alpha is 5.997513742880681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29599074158460714 the lambda is 2.0 the regulation term lambda/alpha is 6.75696810411319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32928938805937963 the lambda is 2.0 the regulation term lambda/alpha is 6.073684948630494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34687254521931943 the lambda is 2.0 the regulation term lambda/alpha is 5.765806569486341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28981876324413375 the lambda is 2.0 the regulation term lambda/alpha is 6.900864449260196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31134316819191404 the lambda is 2.0 the regulation term lambda/alpha is 6.4237799455011215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028288036583216 the lambda is 2.0 the regulation term lambda/alpha is 6.604391576491442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30981664219673244 the lambda is 2.0 the regulation term lambda/alpha is 6.455431140881087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3259889996574614 the lambda is 2.0 the regulation term lambda/alpha is 6.135176346752604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29982403989994316 the lambda is 2.0 the regulation term lambda/alpha is 6.670579185936648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3313806291651687 the lambda is 2.0 the regulation term lambda/alpha is 6.035355793241457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2921791896515836 the lambda is 2.0 the regulation term lambda/alpha is 6.845114473706872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30260789781888187 the lambda is 2.0 the regulation term lambda/alpha is 6.609212827607852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29679644027430346 the lambda is 2.0 the regulation term lambda/alpha is 6.738625295342396 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3204331661489012 the lambda is 2.0 the regulation term lambda/alpha is 6.2415511603771545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37650059072916586 the lambda is 2.0 the regulation term lambda/alpha is 5.312076658702222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29407657207655025 the lambda is 2.0 the regulation term lambda/alpha is 6.800949786232497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3689044793942584 the lambda is 2.0 the regulation term lambda/alpha is 5.4214576176575635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3118323125867952 the lambda is 2.0 the regulation term lambda/alpha is 6.413703517153378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32654955227052335 the lambda is 2.0 the regulation term lambda/alpha is 6.124644747156599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34372147047207535 the lambda is 2.0 the regulation term lambda/alpha is 5.818664738205477 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3340853992905967 the lambda is 2.0 the regulation term lambda/alpha is 5.986493286587316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3112497812286193 the lambda is 2.0 the regulation term lambda/alpha is 6.425707327745748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29307596078772324 the lambda is 2.0 the regulation term lambda/alpha is 6.8241693881150916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2989678369646875 the lambda is 2.0 the regulation term lambda/alpha is 6.689682811051777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3190776117342695 the lambda is 2.0 the regulation term lambda/alpha is 6.268067474648195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31760426796005986 the lambda is 2.0 the regulation term lambda/alpha is 6.2971445970981375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3151663830384737 the lambda is 2.0 the regulation term lambda/alpha is 6.345854468101223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34124658606871006 the lambda is 2.0 the regulation term lambda/alpha is 5.860864494032769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3539099127325663 the lambda is 2.0 the regulation term lambda/alpha is 5.651155641722049 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29440435823332584 the lambda is 2.0 the regulation term lambda/alpha is 6.793377693189343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3201504290853111 the lambda is 2.0 the regulation term lambda/alpha is 6.247063312437592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30496619593435526 the lambda is 2.0 the regulation term lambda/alpha is 6.55810390352413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30200339845714813 the lambda is 2.0 the regulation term lambda/alpha is 6.622442032829587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2857187366377604 the lambda is 2.0 the regulation term lambda/alpha is 6.999890954073614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2703156299150668 the lambda is 2.0 the regulation term lambda/alpha is 7.398758261327324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2853748369416829 the lambda is 2.0 the regulation term lambda/alpha is 7.00832638726555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3532428000586406 the lambda is 2.0 the regulation term lambda/alpha is 5.661828067459512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31167841566484983 the lambda is 2.0 the regulation term lambda/alpha is 6.4168704006459505 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31910476609626826 the lambda is 2.0 the regulation term lambda/alpha is 6.2675340906586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3029995858115242 the lambda is 2.0 the regulation term lambda/alpha is 6.600669088848413 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27768868504249344 the lambda is 2.0 the regulation term lambda/alpha is 7.202310024601647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28662912861053286 the lambda is 2.0 the regulation term lambda/alpha is 6.977657887372531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3133639215763253 the lambda is 2.0 the regulation term lambda/alpha is 6.382355664747018 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27824608006396684 the lambda is 2.0 the regulation term lambda/alpha is 7.187882034277766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.281186659177848 the lambda is 2.0 the regulation term lambda/alpha is 7.112712978089825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31298918738227255 the lambda is 2.0 the regulation term lambda/alpha is 6.38999710094547 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32164576629709035 the lambda is 2.0 the regulation term lambda/alpha is 6.21802059770526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981720524299049 the lambda is 2.0 the regulation term lambda/alpha is 6.7075367516885755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3006124828744139 the lambda is 2.0 the regulation term lambda/alpha is 6.653083667305775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34035362386219997 the lambda is 2.0 the regulation term lambda/alpha is 5.876241237877186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3458443876156326 the lambda is 2.0 the regulation term lambda/alpha is 5.782947682883253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2968730734968373 the lambda is 2.0 the regulation term lambda/alpha is 6.736885822759897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32396033603894353 the lambda is 2.0 the regulation term lambda/alpha is 6.173595275440072 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3268456294576878 the lambda is 2.0 the regulation term lambda/alpha is 6.119096661376384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3043431856611088 the lambda is 2.0 the regulation term lambda/alpha is 6.571528768273567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29507964482611854 the lambda is 2.0 the regulation term lambda/alpha is 6.7778311214199105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30927460988804534 the lambda is 2.0 the regulation term lambda/alpha is 6.466744879975702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28895536357160007 the lambda is 2.0 the regulation term lambda/alpha is 6.921484257219615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2896532704587874 the lambda is 2.0 the regulation term lambda/alpha is 6.904807243612894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3285079112514777 the lambda is 2.0 the regulation term lambda/alpha is 6.088133440625027 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29418747067281426 the lambda is 2.0 the regulation term lambda/alpha is 6.798386061194071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3269533647839763 the lambda is 2.0 the regulation term lambda/alpha is 6.117080340559989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29535546200599905 the lambda is 2.0 the regulation term lambda/alpha is 6.771501655721463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3498664690113381 the lambda is 2.0 the regulation term lambda/alpha is 5.7164666441218355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36263409791850626 the lambda is 2.0 the regulation term lambda/alpha is 5.515201166905861 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28774492854060796 the lambda is 2.0 the regulation term lambda/alpha is 6.950600346437557 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3269483749215413 the lambda is 2.0 the regulation term lambda/alpha is 6.11717369899742 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34425846056434745 the lambda is 2.0 the regulation term lambda/alpha is 5.80958851881628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2721135942290938 the lambda is 2.0 the regulation term lambda/alpha is 7.3498716801196995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32114163485620256 the lambda is 2.0 the regulation term lambda/alpha is 6.227781710383143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33547191086980277 the lambda is 2.0 the regulation term lambda/alpha is 5.961750999702039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31988745661099305 the lambda is 2.0 the regulation term lambda/alpha is 6.252198886410694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33357244696462734 the lambda is 2.0 the regulation term lambda/alpha is 5.995699039891277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29606028061017636 the lambda is 2.0 the regulation term lambda/alpha is 6.755381018615622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.332984947933177 the lambda is 2.0 the regulation term lambda/alpha is 6.006277498168949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3183092771458807 the lambda is 2.0 the regulation term lambda/alpha is 6.283197329129062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28718094773332475 the lambda is 2.0 the regulation term lambda/alpha is 6.964250295103814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3130916976580118 the lambda is 2.0 the regulation term lambda/alpha is 6.387904933156637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32594390791300554 the lambda is 2.0 the regulation term lambda/alpha is 6.136025099551179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3646561747796765 the lambda is 2.0 the regulation term lambda/alpha is 5.484618493594385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35312673500848357 the lambda is 2.0 the regulation term lambda/alpha is 5.663688986765479 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33841501078701536 the lambda is 2.0 the regulation term lambda/alpha is 5.909903332446204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3583985336996108 the lambda is 2.0 the regulation term lambda/alpha is 5.580379973530489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2985732185220977 the lambda is 2.0 the regulation term lambda/alpha is 6.6985244353119295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2904224939406206 the lambda is 2.0 the regulation term lambda/alpha is 6.886518922356329 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26857491095193325 the lambda is 2.0 the regulation term lambda/alpha is 7.446711954259715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3687877264382345 the lambda is 2.0 the regulation term lambda/alpha is 5.423173974134318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3172278861825044 the lambda is 2.0 the regulation term lambda/alpha is 6.30461597833609 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33342910956911176 the lambda is 2.0 the regulation term lambda/alpha is 5.998276522960418 810 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087467951068174 the lambda is 2.0 the regulation term lambda/alpha is 6.477800034517146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27486092104206467 the lambda is 2.0 the regulation term lambda/alpha is 7.276407255049256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30952451130028624 the lambda is 2.0 the regulation term lambda/alpha is 6.46152381146866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28634437354453257 the lambda is 2.0 the regulation term lambda/alpha is 6.984596816912688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3136901248021518 the lambda is 2.0 the regulation term lambda/alpha is 6.375718716875211 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35031666409935075 the lambda is 2.0 the regulation term lambda/alpha is 5.709120361550356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3599290043090854 the lambda is 2.0 the regulation term lambda/alpha is 5.556651384178309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008613987688319 the lambda is 2.0 the regulation term lambda/alpha is 6.647579277980784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262018781693495 the lambda is 2.0 the regulation term lambda/alpha is 6.131172546350849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2778264137392176 the lambda is 2.0 the regulation term lambda/alpha is 7.198739576566339 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37308918827512694 the lambda is 2.0 the regulation term lambda/alpha is 5.360648506718831 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2820686979693082 the lambda is 2.0 the regulation term lambda/alpha is 7.090471273128006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3256500679595202 the lambda is 2.0 the regulation term lambda/alpha is 6.141561746115187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28180267427379774 the lambda is 2.0 the regulation term lambda/alpha is 7.097164727602309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33153612005888694 the lambda is 2.0 the regulation term lambda/alpha is 6.032525203120441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3643947889071277 the lambda is 2.0 the regulation term lambda/alpha is 5.488552693078535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30561704309687227 the lambda is 2.0 the regulation term lambda/alpha is 6.544137655850739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36420035165664305 the lambda is 2.0 the regulation term lambda/alpha is 5.491482890948823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36145847954312643 the lambda is 2.0 the regulation term lambda/alpha is 5.533138972221498 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32407591217004483 the lambda is 2.0 the regulation term lambda/alpha is 6.171393568277875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2780454558065772 the lambda is 2.0 the regulation term lambda/alpha is 7.193068465004166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31051192426484714 the lambda is 2.0 the regulation term lambda/alpha is 6.4409764769423985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3585487957625313 the lambda is 2.0 the regulation term lambda/alpha is 5.578041325579044 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3126512453427027 the lambda is 2.0 the regulation term lambda/alpha is 6.396903993802307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31881795133935154 the lambda is 2.0 the regulation term lambda/alpha is 6.273172484792706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3438855537978143 the lambda is 2.0 the regulation term lambda/alpha is 5.815888390519275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028130378567243 the lambda is 2.0 the regulation term lambda/alpha is 6.604735430666291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30131786790987897 the lambda is 2.0 the regulation term lambda/alpha is 6.637508800500935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.340365534372646 the lambda is 2.0 the regulation term lambda/alpha is 5.876035608853154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29121142322968224 the lambda is 2.0 the regulation term lambda/alpha is 6.867862454772504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32292676918472973 the lambda is 2.0 the regulation term lambda/alpha is 6.193354626651912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3398967021786667 the lambda is 2.0 the regulation term lambda/alpha is 5.88414064384979 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3646178505723715 the lambda is 2.0 the regulation term lambda/alpha is 5.48519497018709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191268002884164 the lambda is 2.0 the regulation term lambda/alpha is 6.267101347152496 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27746481908101195 the lambda is 2.0 the regulation term lambda/alpha is 7.208121038999384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3632140072103228 the lambda is 2.0 the regulation term lambda/alpha is 5.506395569270762 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29682517056970664 the lambda is 2.0 the regulation term lambda/alpha is 6.737973050470525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3186521426538888 the lambda is 2.0 the regulation term lambda/alpha is 6.276436691569167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33988150052479926 the lambda is 2.0 the regulation term lambda/alpha is 5.884403819895668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2927977983229741 the lambda is 2.0 the regulation term lambda/alpha is 6.8306524552273995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3362998906652475 the lambda is 2.0 the regulation term lambda/alpha is 5.947073000956749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29745959963065294 the lambda is 2.0 the regulation term lambda/alpha is 6.72360213784777 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34546322185034345 the lambda is 2.0 the regulation term lambda/alpha is 5.789328280121265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33336186785381394 the lambda is 2.0 the regulation term lambda/alpha is 5.999486422595404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3325706692504631 the lambda is 2.0 the regulation term lambda/alpha is 6.0137594349722265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199258756758338 the lambda is 2.0 the regulation term lambda/alpha is 6.251448076136574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30965248435215076 the lambda is 2.0 the regulation term lambda/alpha is 6.4588533955552245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089850079283218 the lambda is 2.0 the regulation term lambda/alpha is 6.472805957187279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33457596252197447 the lambda is 2.0 the regulation term lambda/alpha is 5.977715747791184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2930942322561163 the lambda is 2.0 the regulation term lambda/alpha is 6.823743970001866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33753412210509903 the lambda is 2.0 the regulation term lambda/alpha is 5.925326860367776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29973949497247393 the lambda is 2.0 the regulation term lambda/alpha is 6.6724606985264545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28821418129861803 the lambda is 2.0 the regulation term lambda/alpha is 6.939283802721021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2756644458293103 the lambda is 2.0 the regulation term lambda/alpha is 7.255197506458223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3016203295250245 the lambda is 2.0 the regulation term lambda/alpha is 6.630852778224507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3148039345970297 the lambda is 2.0 the regulation term lambda/alpha is 6.353160746101014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30855414541739795 the lambda is 2.0 the regulation term lambda/alpha is 6.481844531028716 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33243773105970514 the lambda is 2.0 the regulation term lambda/alpha is 6.016164271199421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2949011599195053 the lambda is 2.0 the regulation term lambda/alpha is 6.781933311303048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3156838425448 the lambda is 2.0 the regulation term lambda/alpha is 6.335452533387647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34398668354923845 the lambda is 2.0 the regulation term lambda/alpha is 5.814178558786328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35564078321447523 the lambda is 2.0 the regulation term lambda/alpha is 5.6236519949228265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32538784184264535 the lambda is 2.0 the regulation term lambda/alpha is 6.146511156268654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2846736463627866 the lambda is 2.0 the regulation term lambda/alpha is 7.025588864840726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3086120145029359 the lambda is 2.0 the regulation term lambda/alpha is 6.480629094176026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26942777825061726 the lambda is 2.0 the regulation term lambda/alpha is 7.423139562616417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31539142776328843 the lambda is 2.0 the regulation term lambda/alpha is 6.341326440555846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3126471518653186 the lambda is 2.0 the regulation term lambda/alpha is 6.396987748225371 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33680505869899396 the lambda is 2.0 the regulation term lambda/alpha is 5.9381530898780825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280029774709042 the lambda is 2.0 the regulation term lambda/alpha is 6.097505624556143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31152742587873417 the lambda is 2.0 the regulation term lambda/alpha is 6.419980502065087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3288173371031103 the lambda is 2.0 the regulation term lambda/alpha is 6.082404345281957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33149655270436246 the lambda is 2.0 the regulation term lambda/alpha is 6.03324524398193 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3322957457494021 the lambda is 2.0 the regulation term lambda/alpha is 6.018734893790311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3419916995410312 the lambda is 2.0 the regulation term lambda/alpha is 5.8480951516779305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3293424586108117 the lambda is 2.0 the regulation term lambda/alpha is 6.072706229364208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3422539132527678 the lambda is 2.0 the regulation term lambda/alpha is 5.843614704042616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3000521202852198 the lambda is 2.0 the regulation term lambda/alpha is 6.6655086392952825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28225053776726566 the lambda is 2.0 the regulation term lambda/alpha is 7.085903239798724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3351873268859167 the lambda is 2.0 the regulation term lambda/alpha is 5.966812703156625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3025848854886936 the lambda is 2.0 the regulation term lambda/alpha is 6.609715474617558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30106165762539705 the lambda is 2.0 the regulation term lambda/alpha is 6.643157470715007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3254310852253393 the lambda is 2.0 the regulation term lambda/alpha is 6.145694405975795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35586861655572277 the lambda is 2.0 the regulation term lambda/alpha is 5.620051634103102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3310044669310836 the lambda is 2.0 the regulation term lambda/alpha is 6.042214531251047 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37502728499725047 the lambda is 2.0 the regulation term lambda/alpha is 5.332945308271805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30141727516178257 the lambda is 2.0 the regulation term lambda/alpha is 6.635319753741788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29694527628647094 the lambda is 2.0 the regulation term lambda/alpha is 6.73524773659153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3019515388052687 the lambda is 2.0 the regulation term lambda/alpha is 6.62357942573632 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31054157936230586 the lambda is 2.0 the regulation term lambda/alpha is 6.440361397359351 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2828704502481259 the lambda is 2.0 the regulation term lambda/alpha is 7.070374435525722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3755248162208283 the lambda is 2.0 the regulation term lambda/alpha is 5.325879711832134 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3296876688475361 the lambda is 2.0 the regulation term lambda/alpha is 6.066347604055823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33490519883095965 the lambda is 2.0 the regulation term lambda/alpha is 5.9718392159372895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3513426358800539 the lambda is 2.0 the regulation term lambda/alpha is 5.692448896759536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3296068930665874 the lambda is 2.0 the regulation term lambda/alpha is 6.06783426582028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33887439047347356 the lambda is 2.0 the regulation term lambda/alpha is 5.901891840234992 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3320918688554522 the lambda is 2.0 the regulation term lambda/alpha is 6.022429898368059 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35523966840075644 the lambda is 2.0 the regulation term lambda/alpha is 5.630001877334657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3032981339451355 the lambda is 2.0 the regulation term lambda/alpha is 6.594171793888405 820 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34208403850384406 the lambda is 2.0 the regulation term lambda/alpha is 5.8465165716217005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996471191822009 the lambda is 2.0 the regulation term lambda/alpha is 6.674517697545081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31705041445578996 the lambda is 2.0 the regulation term lambda/alpha is 6.3081450419579355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34916397038085717 the lambda is 2.0 the regulation term lambda/alpha is 5.727967859394147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32035832285774757 the lambda is 2.0 the regulation term lambda/alpha is 6.243009334544691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.296216306891015 the lambda is 2.0 the regulation term lambda/alpha is 6.751822750716581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3305229378523506 the lambda is 2.0 the regulation term lambda/alpha is 6.051017254643395 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077940191461844 the lambda is 2.0 the regulation term lambda/alpha is 6.497852055566145 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3555001395238916 the lambda is 2.0 the regulation term lambda/alpha is 5.625876835599916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3144645571775395 the lambda is 2.0 the regulation term lambda/alpha is 6.360017224042345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34273422741113435 the lambda is 2.0 the regulation term lambda/alpha is 5.8354253530706055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30117204906554335 the lambda is 2.0 the regulation term lambda/alpha is 6.640722491364877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3629932705409402 the lambda is 2.0 the regulation term lambda/alpha is 5.509744015418131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32492281048704114 the lambda is 2.0 the regulation term lambda/alpha is 6.155308077638845 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30053294046802603 the lambda is 2.0 the regulation term lambda/alpha is 6.654844546775337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2884316752280015 the lambda is 2.0 the regulation term lambda/alpha is 6.9340511870585155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3129669079518328 the lambda is 2.0 the regulation term lambda/alpha is 6.39045199087889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3354492794177394 the lambda is 2.0 the regulation term lambda/alpha is 5.962153215745543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32431682371718173 the lambda is 2.0 the regulation term lambda/alpha is 6.166809285675806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31180708922206424 the lambda is 2.0 the regulation term lambda/alpha is 6.414222348150752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2746321442966177 the lambda is 2.0 the regulation term lambda/alpha is 7.2824687187377855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2850633922005931 the lambda is 2.0 the regulation term lambda/alpha is 7.015983303084536 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2840584572625594 the lambda is 2.0 the regulation term lambda/alpha is 7.040804274140553 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2590577723358634 the lambda is 2.0 the regulation term lambda/alpha is 7.720285641177515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3219228476390992 the lambda is 2.0 the regulation term lambda/alpha is 6.212668702043035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3025221729705984 the lambda is 2.0 the regulation term lambda/alpha is 6.611085661461173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3141356117956551 the lambda is 2.0 the regulation term lambda/alpha is 6.366677081174095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34597766541630864 the lambda is 2.0 the regulation term lambda/alpha is 5.78071997102309 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30822436986637797 the lambda is 2.0 the regulation term lambda/alpha is 6.488779588930765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30021372499612786 the lambda is 2.0 the regulation term lambda/alpha is 6.661920603482722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31026312699946934 the lambda is 2.0 the regulation term lambda/alpha is 6.446141439177272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302203728420673 the lambda is 2.0 the regulation term lambda/alpha is 6.056561510081418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3413512872096341 the lambda is 2.0 the regulation term lambda/alpha is 5.859066817497424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3456023872344055 the lambda is 2.0 the regulation term lambda/alpha is 5.7869970633145424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3570177281038008 the lambda is 2.0 the regulation term lambda/alpha is 5.601962710990397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32739298971231623 the lambda is 2.0 the regulation term lambda/alpha is 6.108866294777483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3115925997927801 the lambda is 2.0 the regulation term lambda/alpha is 6.418637674097747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3615692323972229 the lambda is 2.0 the regulation term lambda/alpha is 5.531444107508528 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31333161809359567 the lambda is 2.0 the regulation term lambda/alpha is 6.383013665102184 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31076949303733253 the lambda is 2.0 the regulation term lambda/alpha is 6.435638133115407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010364476786456 the lambda is 2.0 the regulation term lambda/alpha is 6.64371379420138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3186839663128699 the lambda is 2.0 the regulation term lambda/alpha is 6.27580992900185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3338559541358109 the lambda is 2.0 the regulation term lambda/alpha is 5.99060755162213 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31851159784229127 the lambda is 2.0 the regulation term lambda/alpha is 6.27920620017826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981061840476423 the lambda is 2.0 the regulation term lambda/alpha is 6.7090188229049526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3268933666482572 the lambda is 2.0 the regulation term lambda/alpha is 6.118203071866043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35728887229827805 the lambda is 2.0 the regulation term lambda/alpha is 5.597711418032425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008704558080249 the lambda is 2.0 the regulation term lambda/alpha is 6.647379167318879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2886232493785365 the lambda is 2.0 the regulation term lambda/alpha is 6.929448699321345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3328688072853658 the lambda is 2.0 the regulation term lambda/alpha is 6.008373137484811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29957547504633 the lambda is 2.0 the regulation term lambda/alpha is 6.676113923179779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33545141985714927 the lambda is 2.0 the regulation term lambda/alpha is 5.962115172598442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30463612735493717 the lambda is 2.0 the regulation term lambda/alpha is 6.565209508686286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32962507060533314 the lambda is 2.0 the regulation term lambda/alpha is 6.067499648394891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2843237016650775 the lambda is 2.0 the regulation term lambda/alpha is 7.0342359370233725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3104179022951217 the lambda is 2.0 the regulation term lambda/alpha is 6.44292737375228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31662474302576293 the lambda is 2.0 the regulation term lambda/alpha is 6.316625734575852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2976326285748837 the lambda is 2.0 the regulation term lambda/alpha is 6.719693366874272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3213637738997289 the lambda is 2.0 the regulation term lambda/alpha is 6.223476827304234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3079008324766006 the lambda is 2.0 the regulation term lambda/alpha is 6.495597897261265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2982552195038991 the lambda is 2.0 the regulation term lambda/alpha is 6.705666386414585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30638346776774844 the lambda is 2.0 the regulation term lambda/alpha is 6.527767358244291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3722077157299191 the lambda is 2.0 the regulation term lambda/alpha is 5.373343741888568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2732740909798714 the lambda is 2.0 the regulation term lambda/alpha is 7.318659419298241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30389430159588104 the lambda is 2.0 the regulation term lambda/alpha is 6.581235612175453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31967529324329064 the lambda is 2.0 the regulation term lambda/alpha is 6.256348370588305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3081011074501038 the lambda is 2.0 the regulation term lambda/alpha is 6.491375563536055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31940862124934033 the lambda is 2.0 the regulation term lambda/alpha is 6.261571751498647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30785730992298754 the lambda is 2.0 the regulation term lambda/alpha is 6.49651619609199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30501564949271337 the lambda is 2.0 the regulation term lambda/alpha is 6.557040608658274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29219986398495645 the lambda is 2.0 the regulation term lambda/alpha is 6.84463015391057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2801022015180703 the lambda is 2.0 the regulation term lambda/alpha is 7.140250912561904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29485443270758827 the lambda is 2.0 the regulation term lambda/alpha is 6.78300808176566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31909693304799575 the lambda is 2.0 the regulation term lambda/alpha is 6.267687943272014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298166753582358 the lambda is 2.0 the regulation term lambda/alpha is 6.707655954162478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3514950511926244 the lambda is 2.0 the regulation term lambda/alpha is 5.6899805366078136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29995053522115295 the lambda is 2.0 the regulation term lambda/alpha is 6.667766065246071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.282602376763586 the lambda is 2.0 the regulation term lambda/alpha is 7.077081314404942 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36172522581391964 the lambda is 2.0 the regulation term lambda/alpha is 5.529058681212488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28540984266195635 the lambda is 2.0 the regulation term lambda/alpha is 7.007466811047682 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2717300973256916 the lambda is 2.0 the regulation term lambda/alpha is 7.3602446680863265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033903224507801 the lambda is 2.0 the regulation term lambda/alpha is 6.592168081842709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2898632230169226 the lambda is 2.0 the regulation term lambda/alpha is 6.899805981537843 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3285558141330817 the lambda is 2.0 the regulation term lambda/alpha is 6.087245801073844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3733649349718713 the lambda is 2.0 the regulation term lambda/alpha is 5.356689428134639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3333874482969444 the lambda is 2.0 the regulation term lambda/alpha is 5.999026088764515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3141292330755209 the lambda is 2.0 the regulation term lambda/alpha is 6.366806363160646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3221394409052396 the lambda is 2.0 the regulation term lambda/alpha is 6.20849155998976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30159230276905574 the lambda is 2.0 the regulation term lambda/alpha is 6.631468978608183 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2870393296389253 the lambda is 2.0 the regulation term lambda/alpha is 6.967686283673583 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33659510525397834 the lambda is 2.0 the regulation term lambda/alpha is 5.941857052528726 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3346596695554947 the lambda is 2.0 the regulation term lambda/alpha is 5.9762205665727866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3035520656677598 the lambda is 2.0 the regulation term lambda/alpha is 6.588655542832037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36795532915151435 the lambda is 2.0 the regulation term lambda/alpha is 5.4354424071310365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3437094981569741 the lambda is 2.0 the regulation term lambda/alpha is 5.818867417759251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29127822535483855 the lambda is 2.0 the regulation term lambda/alpha is 6.866287370309183 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28022677533784823 the lambda is 2.0 the regulation term lambda/alpha is 7.137076739325681 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30024517098574777 the lambda is 2.0 the regulation term lambda/alpha is 6.661222871407771 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3367117985429028 the lambda is 2.0 the regulation term lambda/alpha is 5.939797799349066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3143358059344443 the lambda is 2.0 the regulation term lambda/alpha is 6.362622272873063 830 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3205820965601397 the lambda is 2.0 the regulation term lambda/alpha is 6.238651569941334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3297818763329634 the lambda is 2.0 the regulation term lambda/alpha is 6.064614654507895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3007600036879664 the lambda is 2.0 the regulation term lambda/alpha is 6.649820373306576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3029986666004807 the lambda is 2.0 the regulation term lambda/alpha is 6.600689113385118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35339542903161464 the lambda is 2.0 the regulation term lambda/alpha is 5.659382764175709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28201010568595475 the lambda is 2.0 the regulation term lambda/alpha is 7.09194443630042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30439001964707896 the lambda is 2.0 the regulation term lambda/alpha is 6.57051766125208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31017700079469834 the lambda is 2.0 the regulation term lambda/alpha is 6.447931325906949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3088115487064614 the lambda is 2.0 the regulation term lambda/alpha is 6.476441727576341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30897035322843586 the lambda is 2.0 the regulation term lambda/alpha is 6.473112967318611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3363822142986247 the lambda is 2.0 the regulation term lambda/alpha is 5.945617559388832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31164681675164 the lambda is 2.0 the regulation term lambda/alpha is 6.417521028600319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3231478727956252 the lambda is 2.0 the regulation term lambda/alpha is 6.189117021559042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2825912407952327 the lambda is 2.0 the regulation term lambda/alpha is 7.077360198326926 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3429581324497117 the lambda is 2.0 the regulation term lambda/alpha is 5.8316156135859005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3625265540049461 the lambda is 2.0 the regulation term lambda/alpha is 5.516837257589449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28764047517202074 the lambda is 2.0 the regulation term lambda/alpha is 6.95312437793714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32090742144229384 the lambda is 2.0 the regulation term lambda/alpha is 6.232327040026538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30737680320071026 the lambda is 2.0 the regulation term lambda/alpha is 6.506671873654839 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2970065576491349 the lambda is 2.0 the regulation term lambda/alpha is 6.73385805293456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34031370002103334 the lambda is 2.0 the regulation term lambda/alpha is 5.87693060807246 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28692796654478964 the lambda is 2.0 the regulation term lambda/alpha is 6.970390596929835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29715532646650167 the lambda is 2.0 the regulation term lambda/alpha is 6.730486792150637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32610342057241265 the lambda is 2.0 the regulation term lambda/alpha is 6.133023678467953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28992083542501457 the lambda is 2.0 the regulation term lambda/alpha is 6.898434867808189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3506360883673279 the lambda is 2.0 the regulation term lambda/alpha is 5.70391943770714 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31270994360124255 the lambda is 2.0 the regulation term lambda/alpha is 6.395703241692673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981279897710016 the lambda is 2.0 the regulation term lambda/alpha is 6.708528110816574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3594490150844249 the lambda is 2.0 the regulation term lambda/alpha is 5.564071442872792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2988127743046513 the lambda is 2.0 the regulation term lambda/alpha is 6.693154282490353 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3233582202806973 the lambda is 2.0 the regulation term lambda/alpha is 6.185090944228546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30344100161588383 the lambda is 2.0 the regulation term lambda/alpha is 6.591067091624406 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3160583103293076 the lambda is 2.0 the regulation term lambda/alpha is 6.327946251171688 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34089545322733317 the lambda is 2.0 the regulation term lambda/alpha is 5.866901365405595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30414297597001927 the lambda is 2.0 the regulation term lambda/alpha is 6.575854640802715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2970838635997292 the lambda is 2.0 the regulation term lambda/alpha is 6.732105795872728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033588098949533 the lambda is 2.0 the regulation term lambda/alpha is 6.592852868497729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33748461051171214 the lambda is 2.0 the regulation term lambda/alpha is 5.926196151485229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3354377013152549 the lambda is 2.0 the regulation term lambda/alpha is 5.9623590078216555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2936889680865311 the lambda is 2.0 the regulation term lambda/alpha is 6.809925524375602 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3261731051113027 the lambda is 2.0 the regulation term lambda/alpha is 6.131713402052336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31885240786557484 the lambda is 2.0 the regulation term lambda/alpha is 6.272494579508338 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3686770105318839 the lambda is 2.0 the regulation term lambda/alpha is 5.424802585641657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31755755561101423 the lambda is 2.0 the regulation term lambda/alpha is 6.298070899783156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30560804651555235 the lambda is 2.0 the regulation term lambda/alpha is 6.544330304137526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30144341557923054 the lambda is 2.0 the regulation term lambda/alpha is 6.634744355443802 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31622526944582674 the lambda is 2.0 the regulation term lambda/alpha is 6.324605252151187 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3027904060661167 the lambda is 2.0 the regulation term lambda/alpha is 6.605229095545663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2734222860804743 the lambda is 2.0 the regulation term lambda/alpha is 7.314692699962852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3104939781245252 the lambda is 2.0 the regulation term lambda/alpha is 6.441348756844133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3150556493825304 the lambda is 2.0 the regulation term lambda/alpha is 6.348084866656889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34711162899967607 the lambda is 2.0 the regulation term lambda/alpha is 5.761835193374828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3005920296602667 the lambda is 2.0 the regulation term lambda/alpha is 6.653536363756643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3314974527494953 the lambda is 2.0 the regulation term lambda/alpha is 6.033228863183308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3184684657163335 the lambda is 2.0 the regulation term lambda/alpha is 6.280056631357158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3673888105474106 the lambda is 2.0 the regulation term lambda/alpha is 5.443823934158455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.314413339794023 the lambda is 2.0 the regulation term lambda/alpha is 6.361053259732016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.274494151024209 the lambda is 2.0 the regulation term lambda/alpha is 7.286129750078391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.326949005854946 the lambda is 2.0 the regulation term lambda/alpha is 6.1171618943148545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28191370730212956 the lambda is 2.0 the regulation term lambda/alpha is 7.094369476176556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2514402656396397 the lambda is 2.0 the regulation term lambda/alpha is 7.954175497357965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3200244785475209 the lambda is 2.0 the regulation term lambda/alpha is 6.249521939938157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27125710768157313 the lambda is 2.0 the regulation term lambda/alpha is 7.373078689417372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31231215909132853 the lambda is 2.0 the regulation term lambda/alpha is 6.40384929558617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.289258787033751 the lambda is 2.0 the regulation term lambda/alpha is 6.914223835719251 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3108644205961381 the lambda is 2.0 the regulation term lambda/alpha is 6.4336729052641095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32352710106280713 the lambda is 2.0 the regulation term lambda/alpha is 6.181862333726827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36575226157941526 the lambda is 2.0 the regulation term lambda/alpha is 5.46818218256114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3206452012441205 the lambda is 2.0 the regulation term lambda/alpha is 6.237423770073256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3515661574196785 the lambda is 2.0 the regulation term lambda/alpha is 5.688829706132722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3437288603223177 the lambda is 2.0 the regulation term lambda/alpha is 5.818539642334897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3026789309903798 the lambda is 2.0 the regulation term lambda/alpha is 6.607661767060909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3535520265721945 the lambda is 2.0 the regulation term lambda/alpha is 5.656876073913848 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2947983561168869 the lambda is 2.0 the regulation term lambda/alpha is 6.7842983466536175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2897238085281093 the lambda is 2.0 the regulation term lambda/alpha is 6.903126153700129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3388309046714599 the lambda is 2.0 the regulation term lambda/alpha is 5.902649293278773 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3167515981776538 the lambda is 2.0 the regulation term lambda/alpha is 6.3140960030082525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3215026824085994 the lambda is 2.0 the regulation term lambda/alpha is 6.220787910746542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2811412868411485 the lambda is 2.0 the regulation term lambda/alpha is 7.1138608721316965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.295467033821809 the lambda is 2.0 the regulation term lambda/alpha is 6.768944657312142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32184063743185487 the lambda is 2.0 the regulation term lambda/alpha is 6.214255651365566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30561640125685013 the lambda is 2.0 the regulation term lambda/alpha is 6.5441513995158065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3167164086844242 the lambda is 2.0 the regulation term lambda/alpha is 6.314797544931742 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32088001030359964 the lambda is 2.0 the regulation term lambda/alpha is 6.232859435861106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30857836375058467 the lambda is 2.0 the regulation term lambda/alpha is 6.481335812696656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2783516861454563 the lambda is 2.0 the regulation term lambda/alpha is 7.185154965991023 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3468307400437712 the lambda is 2.0 the regulation term lambda/alpha is 5.766501549855683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29253328038331866 the lambda is 2.0 the regulation term lambda/alpha is 6.836828949442319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35409201598865675 the lambda is 2.0 the regulation term lambda/alpha is 5.6482493524058155 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3259861015011565 the lambda is 2.0 the regulation term lambda/alpha is 6.135230891102591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35490396943963365 the lambda is 2.0 the regulation term lambda/alpha is 5.635327221495571 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31750124591295587 the lambda is 2.0 the regulation term lambda/alpha is 6.299187879559715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31021652170551145 the lambda is 2.0 the regulation term lambda/alpha is 6.4471098734663785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29189465365249256 the lambda is 2.0 the regulation term lambda/alpha is 6.851787023071163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29183653373097185 the lambda is 2.0 the regulation term lambda/alpha is 6.853151572324014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29760172134839635 the lambda is 2.0 the regulation term lambda/alpha is 6.720391236106596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31958599470523064 the lambda is 2.0 the regulation term lambda/alpha is 6.258096515914895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3236292249675032 the lambda is 2.0 the regulation term lambda/alpha is 6.179911595440206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32598817049308026 the lambda is 2.0 the regulation term lambda/alpha is 6.135191951827141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3107347421805795 the lambda is 2.0 the regulation term lambda/alpha is 6.436357859327251 840 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3009113911205654 the lambda is 2.0 the regulation term lambda/alpha is 6.646474872726453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30986071007838334 the lambda is 2.0 the regulation term lambda/alpha is 6.45451306005874 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2915593084612726 the lambda is 2.0 the regulation term lambda/alpha is 6.859667799855744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32528735035887507 the lambda is 2.0 the regulation term lambda/alpha is 6.148410006701733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29045610449585274 the lambda is 2.0 the regulation term lambda/alpha is 6.885722038692965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29200883645923437 the lambda is 2.0 the regulation term lambda/alpha is 6.849107801842867 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3077691802721766 the lambda is 2.0 the regulation term lambda/alpha is 6.498376472365732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32936846821712784 the lambda is 2.0 the regulation term lambda/alpha is 6.072226679214328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3079226979396884 the lambda is 2.0 the regulation term lambda/alpha is 6.495136647548249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3225607823291745 the lambda is 2.0 the regulation term lambda/alpha is 6.200381787141725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3198900537883822 the lambda is 2.0 the regulation term lambda/alpha is 6.252148125002554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3185874162349835 the lambda is 2.0 the regulation term lambda/alpha is 6.277711855777886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2997644680665691 the lambda is 2.0 the regulation term lambda/alpha is 6.67190482214142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29705456237813344 the lambda is 2.0 the regulation term lambda/alpha is 6.732769845339439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031204749112116 the lambda is 2.0 the regulation term lambda/alpha is 6.598036640665166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30963917584370726 the lambda is 2.0 the regulation term lambda/alpha is 6.459131001593659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2964982681005324 the lambda is 2.0 the regulation term lambda/alpha is 6.745401964108162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34784148325678355 the lambda is 2.0 the regulation term lambda/alpha is 5.749745491176968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149688752896156 the lambda is 2.0 the regulation term lambda/alpha is 6.349833767419048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3329860455041264 the lambda is 2.0 the regulation term lambda/alpha is 6.006257700595492 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28871207168347923 the lambda is 2.0 the regulation term lambda/alpha is 6.927316853562811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.301813345345098 the lambda is 2.0 the regulation term lambda/alpha is 6.626612211972168 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3318398001306232 the lambda is 2.0 the regulation term lambda/alpha is 6.0270045944239765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981349927431851 the lambda is 2.0 the regulation term lambda/alpha is 6.708370532414521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33995948480705296 the lambda is 2.0 the regulation term lambda/alpha is 5.883053979609123 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3473885349607144 the lambda is 2.0 the regulation term lambda/alpha is 5.757242392084634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33452448921353123 the lambda is 2.0 the regulation term lambda/alpha is 5.978635539365175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2766023234848235 the lambda is 2.0 the regulation term lambda/alpha is 7.230597251688434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3075438805758926 the lambda is 2.0 the regulation term lambda/alpha is 6.503137036103243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32430608906749225 the lambda is 2.0 the regulation term lambda/alpha is 6.167013409309667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3064903298792069 the lambda is 2.0 the regulation term lambda/alpha is 6.52549136146721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3150858933298689 the lambda is 2.0 the regulation term lambda/alpha is 6.347475537110654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32433646437089864 the lambda is 2.0 the regulation term lambda/alpha is 6.16643584581004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3029881582217328 the lambda is 2.0 the regulation term lambda/alpha is 6.60091804160993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3103920233732221 the lambda is 2.0 the regulation term lambda/alpha is 6.4434645525512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29232328817202685 the lambda is 2.0 the regulation term lambda/alpha is 6.841740227083916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2854389861405452 the lambda is 2.0 the regulation term lambda/alpha is 7.006751344804857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2955482994874862 the lambda is 2.0 the regulation term lambda/alpha is 6.767083429233813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3458217858010533 the lambda is 2.0 the regulation term lambda/alpha is 5.783325637993707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3033626609805283 the lambda is 2.0 the regulation term lambda/alpha is 6.592769174477846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2739689901083562 the lambda is 2.0 the regulation term lambda/alpha is 7.3000962598321415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37228126527168565 the lambda is 2.0 the regulation term lambda/alpha is 5.3722821602113875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30489234552396904 the lambda is 2.0 the regulation term lambda/alpha is 6.559692394254517 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34035827541931857 the lambda is 2.0 the regulation term lambda/alpha is 5.876160929350158 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34856591124545705 the lambda is 2.0 the regulation term lambda/alpha is 5.737795738125458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33529565766417807 the lambda is 2.0 the regulation term lambda/alpha is 5.964884883785579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3137748108164439 the lambda is 2.0 the regulation term lambda/alpha is 6.37399794711369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31081134534107013 the lambda is 2.0 the regulation term lambda/alpha is 6.4347715422205445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33197481461017825 the lambda is 2.0 the regulation term lambda/alpha is 6.024553405801286 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3073067283468543 the lambda is 2.0 the regulation term lambda/alpha is 6.508155583702737 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28074280544181757 the lambda is 2.0 the regulation term lambda/alpha is 7.123958161109455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3055422537181903 the lambda is 2.0 the regulation term lambda/alpha is 6.5457395030039045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28596964580507556 the lambda is 2.0 the regulation term lambda/alpha is 6.993749264435054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35430074253314614 the lambda is 2.0 the regulation term lambda/alpha is 5.644921841542267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2936113111611466 the lambda is 2.0 the regulation term lambda/alpha is 6.81172667391657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3239538723242829 the lambda is 2.0 the regulation term lambda/alpha is 6.173718454576671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3016804413139352 the lambda is 2.0 the regulation term lambda/alpha is 6.629531537706671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31635001852494327 the lambda is 2.0 the regulation term lambda/alpha is 6.322111215056894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30588037762685055 the lambda is 2.0 the regulation term lambda/alpha is 6.5385037625389595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3368994925054458 the lambda is 2.0 the regulation term lambda/alpha is 5.936488610079076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32865189948719337 the lambda is 2.0 the regulation term lambda/alpha is 6.085466121208085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3316811654571135 the lambda is 2.0 the regulation term lambda/alpha is 6.029887157576937 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29561987359215797 the lambda is 2.0 the regulation term lambda/alpha is 6.765445014563645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3016200255489804 the lambda is 2.0 the regulation term lambda/alpha is 6.630859460872295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3718965329869093 the lambda is 2.0 the regulation term lambda/alpha is 5.377839862977157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32757095787793455 the lambda is 2.0 the regulation term lambda/alpha is 6.105547368900989 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3056199916359887 the lambda is 2.0 the regulation term lambda/alpha is 6.544074519778527 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3596318550709078 the lambda is 2.0 the regulation term lambda/alpha is 5.561242620194656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2924018454219149 the lambda is 2.0 the regulation term lambda/alpha is 6.839902111815141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3164280849571641 the lambda is 2.0 the regulation term lambda/alpha is 6.3205514778207705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2920424912525321 the lambda is 2.0 the regulation term lambda/alpha is 6.848318514960823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31481678232897536 the lambda is 2.0 the regulation term lambda/alpha is 6.352901472419129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3448928287676293 the lambda is 2.0 the regulation term lambda/alpha is 5.798902827717231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3194533524938635 the lambda is 2.0 the regulation term lambda/alpha is 6.260694979053065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3362142617375465 the lambda is 2.0 the regulation term lambda/alpha is 5.948587634754256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30024178064271195 the lambda is 2.0 the regulation term lambda/alpha is 6.661298090221501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3492150473812499 the lambda is 2.0 the regulation term lambda/alpha is 5.727130073569058 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3143587876960177 the lambda is 2.0 the regulation term lambda/alpha is 6.36215712198885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3568238281624997 the lambda is 2.0 the regulation term lambda/alpha is 5.605006846933967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30494615137661774 the lambda is 2.0 the regulation term lambda/alpha is 6.558534977311255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3211938567651831 the lambda is 2.0 the regulation term lambda/alpha is 6.226769154748033 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31408927505428985 the lambda is 2.0 the regulation term lambda/alpha is 6.3676163398266405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34937851772125006 the lambda is 2.0 the regulation term lambda/alpha is 5.72445041282043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29468830805332547 the lambda is 2.0 the regulation term lambda/alpha is 6.786831867242215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3226154253476951 the lambda is 2.0 the regulation term lambda/alpha is 6.199331596883574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29269389779590693 the lambda is 2.0 the regulation term lambda/alpha is 6.833077201338115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34606038670607 the lambda is 2.0 the regulation term lambda/alpha is 5.779338164176303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33254031538422696 the lambda is 2.0 the regulation term lambda/alpha is 6.014308363451032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2854436556854312 the lambda is 2.0 the regulation term lambda/alpha is 7.00663672204391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26516012495502084 the lambda is 2.0 the regulation term lambda/alpha is 7.542612224742541 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3063863995043565 the lambda is 2.0 the regulation term lambda/alpha is 6.527704895633144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262420563050545 the lambda is 2.0 the regulation term lambda/alpha is 6.130417465643634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3333596710872761 the lambda is 2.0 the regulation term lambda/alpha is 5.999525957884644 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26297188971376345 the lambda is 2.0 the regulation term lambda/alpha is 7.60537562466063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2909116120405278 the lambda is 2.0 the regulation term lambda/alpha is 6.874940419089816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37388108118346125 the lambda is 2.0 the regulation term lambda/alpha is 5.349294469967075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028194058959508 the lambda is 2.0 the regulation term lambda/alpha is 6.604596538595691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32857192901403975 the lambda is 2.0 the regulation term lambda/alpha is 6.086947250793724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33813857646367257 the lambda is 2.0 the regulation term lambda/alpha is 5.914734783935152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3251264529896447 the lambda is 2.0 the regulation term lambda/alpha is 6.151452708967056 850 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3032828140291978 the lambda is 2.0 the regulation term lambda/alpha is 6.594504889444394 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3079921085141371 the lambda is 2.0 the regulation term lambda/alpha is 6.49367287249244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3259512647390687 the lambda is 2.0 the regulation term lambda/alpha is 6.135886607468895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3007927827220839 the lambda is 2.0 the regulation term lambda/alpha is 6.649095706022611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27968895865966226 the lambda is 2.0 the regulation term lambda/alpha is 7.150800695116776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30413284372664284 the lambda is 2.0 the regulation term lambda/alpha is 6.576073716647377 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29889828252188694 the lambda is 2.0 the regulation term lambda/alpha is 6.691239518425634 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3253335966703993 the lambda is 2.0 the regulation term lambda/alpha is 6.147536007559133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.333309760139494 the lambda is 2.0 the regulation term lambda/alpha is 6.000424347498786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.360310800453307 the lambda is 2.0 the regulation term lambda/alpha is 5.550763389506504 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31188235930152647 the lambda is 2.0 the regulation term lambda/alpha is 6.412674331690588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.351701010502112 the lambda is 2.0 the regulation term lambda/alpha is 5.686648432271109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31401682599625386 the lambda is 2.0 the regulation term lambda/alpha is 6.369085457936128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3040259340353013 the lambda is 2.0 the regulation term lambda/alpha is 6.57838617072639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3175915584704499 the lambda is 2.0 the regulation term lambda/alpha is 6.297396598424037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.308783994822032 the lambda is 2.0 the regulation term lambda/alpha is 6.477019643303411 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32152916093908623 the lambda is 2.0 the regulation term lambda/alpha is 6.220275617174582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31763155525618897 the lambda is 2.0 the regulation term lambda/alpha is 6.296603617946207 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30946845379938176 the lambda is 2.0 the regulation term lambda/alpha is 6.462694259934276 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29193194539330386 the lambda is 2.0 the regulation term lambda/alpha is 6.8509117674857745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30545692692766696 the lambda is 2.0 the regulation term lambda/alpha is 6.547567999574635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2740298274730179 the lambda is 2.0 the regulation term lambda/alpha is 7.2984755653905165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32359037059080004 the lambda is 2.0 the regulation term lambda/alpha is 6.180653634248972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.369247155143388 the lambda is 2.0 the regulation term lambda/alpha is 5.4164262937201215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3523298976095151 the lambda is 2.0 the regulation term lambda/alpha is 5.676498116025869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128692117831339 the lambda is 2.0 the regulation term lambda/alpha is 6.39244746583216 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2703788742926137 the lambda is 2.0 the regulation term lambda/alpha is 7.397027616275702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28101614413649134 the lambda is 2.0 the regulation term lambda/alpha is 7.117028831726434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262511862115249 the lambda is 2.0 the regulation term lambda/alpha is 6.130245910288585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3239102053160478 the lambda is 2.0 the regulation term lambda/alpha is 6.174550746397591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32750479439246627 the lambda is 2.0 the regulation term lambda/alpha is 6.106780829606099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32298881369202337 the lambda is 2.0 the regulation term lambda/alpha is 6.19216491474854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36415515807844645 the lambda is 2.0 the regulation term lambda/alpha is 5.492164412975744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29659457039243625 the lambda is 2.0 the regulation term lambda/alpha is 6.743211776782425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33133086601723305 the lambda is 2.0 the regulation term lambda/alpha is 6.036262253622869 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2978599720148767 the lambda is 2.0 the regulation term lambda/alpha is 6.714564519935259 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31199864698718444 the lambda is 2.0 the regulation term lambda/alpha is 6.410284208963738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27281081001978835 the lambda is 2.0 the regulation term lambda/alpha is 7.331087796172483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3402220217967401 the lambda is 2.0 the regulation term lambda/alpha is 5.878514240312364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31625613630046423 the lambda is 2.0 the regulation term lambda/alpha is 6.323987965564304 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3391969414724824 the lambda is 2.0 the regulation term lambda/alpha is 5.8962795811714335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2749740123049316 the lambda is 2.0 the regulation term lambda/alpha is 7.273414615567765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2999709115290742 the lambda is 2.0 the regulation term lambda/alpha is 6.667313139814736 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33178432575329864 the lambda is 2.0 the regulation term lambda/alpha is 6.028012310283515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30990685044373234 the lambda is 2.0 the regulation term lambda/alpha is 6.4535520822994075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35515193363601283 the lambda is 2.0 the regulation term lambda/alpha is 5.6313926817860285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29875217051396835 the lambda is 2.0 the regulation term lambda/alpha is 6.694512031692465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36630933661335763 the lambda is 2.0 the regulation term lambda/alpha is 5.4598662935829445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30156902804465174 the lambda is 2.0 the regulation term lambda/alpha is 6.631980787177755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36470648755886087 the lambda is 2.0 the regulation term lambda/alpha is 5.483861867626402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36041020384622474 the lambda is 2.0 the regulation term lambda/alpha is 5.549232454176948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28359276137400585 the lambda is 2.0 the regulation term lambda/alpha is 7.052366182796795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3652665806820634 the lambda is 2.0 the regulation term lambda/alpha is 5.475453013701373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31242283404270077 the lambda is 2.0 the regulation term lambda/alpha is 6.401580749141555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3054320458910138 the lambda is 2.0 the regulation term lambda/alpha is 6.54810137608695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36093661373081143 the lambda is 2.0 the regulation term lambda/alpha is 5.541139147195556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303391158934663 the lambda is 2.0 the regulation term lambda/alpha is 6.5921499064866005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29894189260744475 the lambda is 2.0 the regulation term lambda/alpha is 6.690263390505452 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30254109333169743 the lambda is 2.0 the regulation term lambda/alpha is 6.610672216376428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3226037161806526 the lambda is 2.0 the regulation term lambda/alpha is 6.199556606719415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3101618864708802 the lambda is 2.0 the regulation term lambda/alpha is 6.448245536408844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31618742698848723 the lambda is 2.0 the regulation term lambda/alpha is 6.32536220383242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3305903904575526 the lambda is 2.0 the regulation term lambda/alpha is 6.049782624449265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3609374179303007 the lambda is 2.0 the regulation term lambda/alpha is 5.541126801062816 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3801863582556069 the lambda is 2.0 the regulation term lambda/alpha is 5.260578020675218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34360167383594004 the lambda is 2.0 the regulation term lambda/alpha is 5.820693414185586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26946299300355897 the lambda is 2.0 the regulation term lambda/alpha is 7.422169470126774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30024493889422793 the lambda is 2.0 the regulation term lambda/alpha is 6.661228020581462 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33976348338020934 the lambda is 2.0 the regulation term lambda/alpha is 5.886447772734651 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31499458514350326 the lambda is 2.0 the regulation term lambda/alpha is 6.349315494070645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3229094677580781 the lambda is 2.0 the regulation term lambda/alpha is 6.193686465391558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.25543503968575204 the lambda is 2.0 the regulation term lambda/alpha is 7.829779353922986 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33099884260768164 the lambda is 2.0 the regulation term lambda/alpha is 6.04231720039732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29308093035451094 the lambda is 2.0 the regulation term lambda/alpha is 6.8240536754841 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3091143895300997 the lambda is 2.0 the regulation term lambda/alpha is 6.4700967271057825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30839899970230483 the lambda is 2.0 the regulation term lambda/alpha is 6.485105340583415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.324629601481965 the lambda is 2.0 the regulation term lambda/alpha is 6.1608676191875595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35082345258196795 the lambda is 2.0 the regulation term lambda/alpha is 5.700873146537178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3183347747821623 the lambda is 2.0 the regulation term lambda/alpha is 6.282694064349732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.338817524228699 the lambda is 2.0 the regulation term lambda/alpha is 5.902882398284738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2980681878634399 the lambda is 2.0 the regulation term lambda/alpha is 6.709874053772894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3805899197164318 the lambda is 2.0 the regulation term lambda/alpha is 5.254999926141372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31356346207011215 the lambda is 2.0 the regulation term lambda/alpha is 6.378294163472414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2967382644287427 the lambda is 2.0 the regulation term lambda/alpha is 6.739946409844526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3353077322261415 the lambda is 2.0 the regulation term lambda/alpha is 5.964670085958949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3455992202254467 the lambda is 2.0 the regulation term lambda/alpha is 5.787050094312506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29644478835296484 the lambda is 2.0 the regulation term lambda/alpha is 6.7466188598285655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28485895431033953 the lambda is 2.0 the regulation term lambda/alpha is 7.021018541762603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30372939056262505 the lambda is 2.0 the regulation term lambda/alpha is 6.584808919200152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26772962147577084 the lambda is 2.0 the regulation term lambda/alpha is 7.470223089158617 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3434121644549179 the lambda is 2.0 the regulation term lambda/alpha is 5.823905519405542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2847589346448791 the lambda is 2.0 the regulation term lambda/alpha is 7.023484627424197 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30188924763671227 the lambda is 2.0 the regulation term lambda/alpha is 6.624946120660653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3346033325206047 the lambda is 2.0 the regulation term lambda/alpha is 5.977226780539733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3750492981684479 the lambda is 2.0 the regulation term lambda/alpha is 5.332632295986138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30439128020101297 the lambda is 2.0 the regulation term lambda/alpha is 6.5704904512351545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32366879485441463 the lambda is 2.0 the regulation term lambda/alpha is 6.179156074961118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.343820474978412 the lambda is 2.0 the regulation term lambda/alpha is 5.816989229991544 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31871778448208 the lambda is 2.0 the regulation term lambda/alpha is 6.2751440220068755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31443974795418933 the lambda is 2.0 the regulation term lambda/alpha is 6.3605190279295725 860 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.315145486448069 the lambda is 2.0 the regulation term lambda/alpha is 6.346275247478654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31901027618384675 the lambda is 2.0 the regulation term lambda/alpha is 6.269390515957526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27437214326058007 the lambda is 2.0 the regulation term lambda/alpha is 7.289369745165914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3188642547663259 the lambda is 2.0 the regulation term lambda/alpha is 6.272261534820405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3240380611441389 the lambda is 2.0 the regulation term lambda/alpha is 6.172114451426612 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3127429085469195 the lambda is 2.0 the regulation term lambda/alpha is 6.395029096878622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34539037092398167 the lambda is 2.0 the regulation term lambda/alpha is 5.790549385177237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.309834748270317 the lambda is 2.0 the regulation term lambda/alpha is 6.455053899426056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31282673083785323 the lambda is 2.0 the regulation term lambda/alpha is 6.393315541300899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2970037378020252 the lambda is 2.0 the regulation term lambda/alpha is 6.733921986305596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27811896071689624 the lambda is 2.0 the regulation term lambda/alpha is 7.191167386950818 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3256990267184858 the lambda is 2.0 the regulation term lambda/alpha is 6.140638552563675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3220195398013772 the lambda is 2.0 the regulation term lambda/alpha is 6.210803236454555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32815229109587063 the lambda is 2.0 the regulation term lambda/alpha is 6.094731178993031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31533570130820243 the lambda is 2.0 the regulation term lambda/alpha is 6.342447086399654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3245356814245625 the lambda is 2.0 the regulation term lambda/alpha is 6.162650563478626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30377225187428736 the lambda is 2.0 the regulation term lambda/alpha is 6.583879823321311 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3009098126192017 the lambda is 2.0 the regulation term lambda/alpha is 6.646509738554055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30180624665140293 the lambda is 2.0 the regulation term lambda/alpha is 6.626768074519252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37524851608502674 the lambda is 2.0 the regulation term lambda/alpha is 5.329801223109499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30049899099084687 the lambda is 2.0 the regulation term lambda/alpha is 6.655596391206916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.285941321784175 the lambda is 2.0 the regulation term lambda/alpha is 6.994442032794321 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3015626676410818 the lambda is 2.0 the regulation term lambda/alpha is 6.632120665481009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2651127135454981 the lambda is 2.0 the regulation term lambda/alpha is 7.543961107156652 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.328030712864044 the lambda is 2.0 the regulation term lambda/alpha is 6.096990073087828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31639751464612487 the lambda is 2.0 the regulation term lambda/alpha is 6.321162169168434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34846067451823476 the lambda is 2.0 the regulation term lambda/alpha is 5.73952857884209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2872312694561515 the lambda is 2.0 the regulation term lambda/alpha is 6.963030187440363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3421237081471098 the lambda is 2.0 the regulation term lambda/alpha is 5.845838661201521 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3373541702791838 the lambda is 2.0 the regulation term lambda/alpha is 5.928487554622083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26235564493203045 the lambda is 2.0 the regulation term lambda/alpha is 7.623239822105402 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208375921631583 the lambda is 2.0 the regulation term lambda/alpha is 6.2336834861387524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32275167343231126 the lambda is 2.0 the regulation term lambda/alpha is 6.196714578520838 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33424329917037415 the lambda is 2.0 the regulation term lambda/alpha is 5.983665207243356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262497794407025 the lambda is 2.0 the regulation term lambda/alpha is 6.130272343566473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2768290178527803 the lambda is 2.0 the regulation term lambda/alpha is 7.224676139492048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3274228846444821 the lambda is 2.0 the regulation term lambda/alpha is 6.1083085324705175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33662755887221146 the lambda is 2.0 the regulation term lambda/alpha is 5.941284209470289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3317299359208469 the lambda is 2.0 the regulation term lambda/alpha is 6.029000652136545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31486883129028403 the lambda is 2.0 the regulation term lambda/alpha is 6.351851314734163 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2919759435574671 the lambda is 2.0 the regulation term lambda/alpha is 6.849879396335806 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2774767085105225 the lambda is 2.0 the regulation term lambda/alpha is 7.207812182636425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34598744382983065 the lambda is 2.0 the regulation term lambda/alpha is 5.780556594370729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3326792622658454 the lambda is 2.0 the regulation term lambda/alpha is 6.011796426318247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3133296827158726 the lambda is 2.0 the regulation term lambda/alpha is 6.3830530917608606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32459129957779986 the lambda is 2.0 the regulation term lambda/alpha is 6.161594604049542 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30752170681050967 the lambda is 2.0 the regulation term lambda/alpha is 6.503605942953388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26069174324491257 the lambda is 2.0 the regulation term lambda/alpha is 7.6718962215886375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31425421101255535 the lambda is 2.0 the regulation term lambda/alpha is 6.364274303774069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32697597808560147 the lambda is 2.0 the regulation term lambda/alpha is 6.116657289962767 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34153588801168694 the lambda is 2.0 the regulation term lambda/alpha is 5.8558999806531675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3132250867888954 the lambda is 2.0 the regulation term lambda/alpha is 6.385184598409712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30579710768493595 the lambda is 2.0 the regulation term lambda/alpha is 6.540284226823389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3456883370129541 the lambda is 2.0 the regulation term lambda/alpha is 5.785558220684354 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33003044773028833 the lambda is 2.0 the regulation term lambda/alpha is 6.060046925229352 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31874060779097046 the lambda is 2.0 the regulation term lambda/alpha is 6.274694692530662 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2703612871606156 the lambda is 2.0 the regulation term lambda/alpha is 7.397508796486254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32201555625738026 the lambda is 2.0 the regulation term lambda/alpha is 6.2108800681711225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27595363120747113 the lambda is 2.0 the regulation term lambda/alpha is 7.247594428269485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33833093038893197 the lambda is 2.0 the regulation term lambda/alpha is 5.911372033591131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2744780942266735 the lambda is 2.0 the regulation term lambda/alpha is 7.286555984130124 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32115007924016736 the lambda is 2.0 the regulation term lambda/alpha is 6.227617955853996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3228688638880801 the lambda is 2.0 the regulation term lambda/alpha is 6.194465381131591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3522384943758297 the lambda is 2.0 the regulation term lambda/alpha is 5.6779711244905835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33514650998913376 the lambda is 2.0 the regulation term lambda/alpha is 5.967539390652896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32258834406967346 the lambda is 2.0 the regulation term lambda/alpha is 6.199852030512407 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32695947914230117 the lambda is 2.0 the regulation term lambda/alpha is 6.116965947115265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29087518718986155 the lambda is 2.0 the regulation term lambda/alpha is 6.875801333630255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3173488957506935 the lambda is 2.0 the regulation term lambda/alpha is 6.302211940170676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30190172629068124 the lambda is 2.0 the regulation term lambda/alpha is 6.624672288472879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2886489833878776 the lambda is 2.0 the regulation term lambda/alpha is 6.928830916104291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.332469187880198 the lambda is 2.0 the regulation term lambda/alpha is 6.015595047324146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31793829483097774 the lambda is 2.0 the regulation term lambda/alpha is 6.290528799191175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30876081519599885 the lambda is 2.0 the regulation term lambda/alpha is 6.477505893130954 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36491903133966486 the lambda is 2.0 the regulation term lambda/alpha is 5.48066784200797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2745734474042303 the lambda is 2.0 the regulation term lambda/alpha is 7.284025527259292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29597724879942006 the lambda is 2.0 the regulation term lambda/alpha is 6.757276135624107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36390919312346853 the lambda is 2.0 the regulation term lambda/alpha is 5.495876547755781 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31473184486419475 the lambda is 2.0 the regulation term lambda/alpha is 6.354615945720364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27991370843620256 the lambda is 2.0 the regulation term lambda/alpha is 7.1450591368798095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3270052325015783 the lambda is 2.0 the regulation term lambda/alpha is 6.116110083927623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31576616040355543 the lambda is 2.0 the regulation term lambda/alpha is 6.3338009286491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34109144296125454 the lambda is 2.0 the regulation term lambda/alpha is 5.8635302681198755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30423685704859893 the lambda is 2.0 the regulation term lambda/alpha is 6.5738254707269705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34237081129092334 the lambda is 2.0 the regulation term lambda/alpha is 5.8416194781877495 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3363659996801794 the lambda is 2.0 the regulation term lambda/alpha is 5.945904169570119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3429933205160578 the lambda is 2.0 the regulation term lambda/alpha is 5.8310173416521875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3159621707615267 the lambda is 2.0 the regulation term lambda/alpha is 6.329871690587622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3181796896450927 the lambda is 2.0 the regulation term lambda/alpha is 6.285756335455795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078594923054997 the lambda is 2.0 the regulation term lambda/alpha is 6.496470142994098 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2863798819254468 the lambda is 2.0 the regulation term lambda/alpha is 6.98373079335461 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30488197431209724 the lambda is 2.0 the regulation term lambda/alpha is 6.559915536209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3876965061714337 the lambda is 2.0 the regulation term lambda/alpha is 5.158674293328889 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30260267533592444 the lambda is 2.0 the regulation term lambda/alpha is 6.609326893028178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34660947611376625 the lambda is 2.0 the regulation term lambda/alpha is 5.770182692130287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32412043771107824 the lambda is 2.0 the regulation term lambda/alpha is 6.170545782684661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39363965973984305 the lambda is 2.0 the regulation term lambda/alpha is 5.080788864927387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3394113879359631 the lambda is 2.0 the regulation term lambda/alpha is 5.892554201444004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3039506559146105 the lambda is 2.0 the regulation term lambda/alpha is 6.580015410665421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3253368134097756 the lambda is 2.0 the regulation term lambda/alpha is 6.147475224332866 870 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2847469272462628 the lambda is 2.0 the regulation term lambda/alpha is 7.023780798415092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3370495051235725 the lambda is 2.0 the regulation term lambda/alpha is 5.933846421957331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33238358102901205 the lambda is 2.0 the regulation term lambda/alpha is 6.017144390250222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35992357608745007 the lambda is 2.0 the regulation term lambda/alpha is 5.556735187344502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2922776295269616 the lambda is 2.0 the regulation term lambda/alpha is 6.842809021124577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3082063765740505 the lambda is 2.0 the regulation term lambda/alpha is 6.48915840817938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34201666686555393 the lambda is 2.0 the regulation term lambda/alpha is 5.8476682388878904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3027342918507163 the lambda is 2.0 the regulation term lambda/alpha is 6.606453427437403 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3487988043909275 the lambda is 2.0 the regulation term lambda/alpha is 5.733964608887924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31075974729237354 the lambda is 2.0 the regulation term lambda/alpha is 6.435839961339429 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2999081756210099 the lambda is 2.0 the regulation term lambda/alpha is 6.668707833184828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32137299932935365 the lambda is 2.0 the regulation term lambda/alpha is 6.223298174313437 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32916357188257633 the lambda is 2.0 the regulation term lambda/alpha is 6.0760064929465125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2934196478984476 the lambda is 2.0 the regulation term lambda/alpha is 6.816176129732795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2965673447276638 the lambda is 2.0 the regulation term lambda/alpha is 6.74383082141626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3117434357860502 the lambda is 2.0 the regulation term lambda/alpha is 6.415532038251487 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3198207534583647 the lambda is 2.0 the regulation term lambda/alpha is 6.253502871133616 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3031513445198495 the lambda is 2.0 the regulation term lambda/alpha is 6.597364768966234 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3013543882298087 the lambda is 2.0 the regulation term lambda/alpha is 6.636704418834703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3082772812901337 the lambda is 2.0 the regulation term lambda/alpha is 6.487665881929552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3056154741488225 the lambda is 2.0 the regulation term lambda/alpha is 6.544171251702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3259820093575327 the lambda is 2.0 the regulation term lambda/alpha is 6.13530790837732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3304695173875469 the lambda is 2.0 the regulation term lambda/alpha is 6.051995402815225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3283698763175711 the lambda is 2.0 the regulation term lambda/alpha is 6.090692673848596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32101076626811736 the lambda is 2.0 the regulation term lambda/alpha is 6.230320631456775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32573315482324 the lambda is 2.0 the regulation term lambda/alpha is 6.139995178216677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26685936390952836 the lambda is 2.0 the regulation term lambda/alpha is 7.494584303506199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2985522930605547 the lambda is 2.0 the regulation term lambda/alpha is 6.698993933348703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2660801408810737 the lambda is 2.0 the regulation term lambda/alpha is 7.516532400266255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2994523561078262 the lambda is 2.0 the regulation term lambda/alpha is 6.678858787405379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3361038527405213 the lambda is 2.0 the regulation term lambda/alpha is 5.950541725994551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30719169529005547 the lambda is 2.0 the regulation term lambda/alpha is 6.510592671170902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3171601533778766 the lambda is 2.0 the regulation term lambda/alpha is 6.305962393759862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31125030548664756 the lambda is 2.0 the regulation term lambda/alpha is 6.42569650453178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3148560029460401 the lambda is 2.0 the regulation term lambda/alpha is 6.352110111563473 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32539765096517775 the lambda is 2.0 the regulation term lambda/alpha is 6.146325869494457 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3087228289854551 the lambda is 2.0 the regulation term lambda/alpha is 6.478302905465492 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35395467404885833 the lambda is 2.0 the regulation term lambda/alpha is 5.650440993255336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3355079437809151 the lambda is 2.0 the regulation term lambda/alpha is 5.9611107190534645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28919754987416985 the lambda is 2.0 the regulation term lambda/alpha is 6.915687912536611 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34202413231686807 the lambda is 2.0 the regulation term lambda/alpha is 5.8475406002846055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3391532950458209 the lambda is 2.0 the regulation term lambda/alpha is 5.897038387109853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30868856045237186 the lambda is 2.0 the regulation term lambda/alpha is 6.479022083193082 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29769090612298055 the lambda is 2.0 the regulation term lambda/alpha is 6.718377884119074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27936219674329466 the lambda is 2.0 the regulation term lambda/alpha is 7.159164780758779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3224235187562534 the lambda is 2.0 the regulation term lambda/alpha is 6.203021441224222 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3066709639337259 the lambda is 2.0 the regulation term lambda/alpha is 6.521647743710801 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2727536599839247 the lambda is 2.0 the regulation term lambda/alpha is 7.3326238779632655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3379652733036956 the lambda is 2.0 the regulation term lambda/alpha is 5.917767764863818 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128727147541175 the lambda is 2.0 the regulation term lambda/alpha is 6.392375895008209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36750812909073677 the lambda is 2.0 the regulation term lambda/alpha is 5.442056492595856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3148418359800989 the lambda is 2.0 the regulation term lambda/alpha is 6.352395938024004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2686389596867753 the lambda is 2.0 the regulation term lambda/alpha is 7.444936513795088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32855389419504755 the lambda is 2.0 the regulation term lambda/alpha is 6.087281372512635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30988772258118263 the lambda is 2.0 the regulation term lambda/alpha is 6.4539504286945455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29195804430623806 the lambda is 2.0 the regulation term lambda/alpha is 6.850299346101173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36739191372923735 the lambda is 2.0 the regulation term lambda/alpha is 5.443777952810284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33980087674612786 the lambda is 2.0 the regulation term lambda/alpha is 5.885799998963042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3384816998300947 the lambda is 2.0 the regulation term lambda/alpha is 5.908738939221607 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3646617223563139 the lambda is 2.0 the regulation term lambda/alpha is 5.4845350564263065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3536787313644729 the lambda is 2.0 the regulation term lambda/alpha is 5.654849507868655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3580381457964937 the lambda is 2.0 the regulation term lambda/alpha is 5.585996976804772 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28794317948923476 the lambda is 2.0 the regulation term lambda/alpha is 6.945814808142637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31060726561307056 the lambda is 2.0 the regulation term lambda/alpha is 6.4389994099218475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3032727809334778 the lambda is 2.0 the regulation term lambda/alpha is 6.594723053760289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2955409971215664 the lambda is 2.0 the regulation term lambda/alpha is 6.767250633513054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3046704917125426 the lambda is 2.0 the regulation term lambda/alpha is 6.564469006361814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3515034921061153 the lambda is 2.0 the regulation term lambda/alpha is 5.689843898894241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3052423834630744 the lambda is 2.0 the regulation term lambda/alpha is 6.5521700404424426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32729034748238195 the lambda is 2.0 the regulation term lambda/alpha is 6.110782109477458 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2816500636432233 the lambda is 2.0 the regulation term lambda/alpha is 7.101010289610568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2721982363632225 the lambda is 2.0 the regulation term lambda/alpha is 7.347586181018423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29527953991168915 the lambda is 2.0 the regulation term lambda/alpha is 6.773242740076576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3412861400555508 the lambda is 2.0 the regulation term lambda/alpha is 5.86018523832952 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191940668238698 the lambda is 2.0 the regulation term lambda/alpha is 6.265780626503917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3667907158100889 the lambda is 2.0 the regulation term lambda/alpha is 5.452700719490208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29067319940810815 the lambda is 2.0 the regulation term lambda/alpha is 6.880579303742343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30447918138387264 the lambda is 2.0 the regulation term lambda/alpha is 6.568593592868659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32800603741585466 the lambda is 2.0 the regulation term lambda/alpha is 6.097448741360658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.293305012292016 the lambda is 2.0 the regulation term lambda/alpha is 6.818840170412054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3210283232202061 the lambda is 2.0 the regulation term lambda/alpha is 6.229979896908101 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28945186785952337 the lambda is 2.0 the regulation term lambda/alpha is 6.909611655954623 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32586203360340593 the lambda is 2.0 the regulation term lambda/alpha is 6.137566803606592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.301353075797486 the lambda is 2.0 the regulation term lambda/alpha is 6.6367333225562675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.389856349011728 the lambda is 2.0 the regulation term lambda/alpha is 5.130094726095725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31396254635972554 the lambda is 2.0 the regulation term lambda/alpha is 6.370186581772978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3345267375520069 the lambda is 2.0 the regulation term lambda/alpha is 5.978595357236794 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33511134907813184 the lambda is 2.0 the regulation term lambda/alpha is 5.9681655231965784 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.370712852338653 the lambda is 2.0 the regulation term lambda/alpha is 5.395011226028289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33300089759618284 the lambda is 2.0 the regulation term lambda/alpha is 6.005989816956355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3260819705745242 the lambda is 2.0 the regulation term lambda/alpha is 6.133427114894447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30708610515457924 the lambda is 2.0 the regulation term lambda/alpha is 6.5128313083174225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28185988636942416 the lambda is 2.0 the regulation term lambda/alpha is 7.095724140677003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316890138114109 the lambda is 2.0 the regulation term lambda/alpha is 6.311335568542748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30880051834992306 the lambda is 2.0 the regulation term lambda/alpha is 6.476673066117275 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3507615877076438 the lambda is 2.0 the regulation term lambda/alpha is 5.701878626649904 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3289467371543956 the lambda is 2.0 the regulation term lambda/alpha is 6.0800116678502665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28622567290412704 the lambda is 2.0 the regulation term lambda/alpha is 6.987493398853539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33334534913262287 the lambda is 2.0 the regulation term lambda/alpha is 5.999783723408997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38249898491729456 the lambda is 2.0 the regulation term lambda/alpha is 5.228772046107385 880 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.302148461322628 the lambda is 2.0 the regulation term lambda/alpha is 6.6192625679613855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30463157738746516 the lambda is 2.0 the regulation term lambda/alpha is 6.565307566444998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31957958447428286 the lambda is 2.0 the regulation term lambda/alpha is 6.258222042844365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32398124703835335 the lambda is 2.0 the regulation term lambda/alpha is 6.1731968077869555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31767355502266287 the lambda is 2.0 the regulation term lambda/alpha is 6.295771141092684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3039817804230364 the lambda is 2.0 the regulation term lambda/alpha is 6.579341686915245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3337081199229252 the lambda is 2.0 the regulation term lambda/alpha is 5.9932614179778705 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2844128408650002 the lambda is 2.0 the regulation term lambda/alpha is 7.0320313032185595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3124197725761517 the lambda is 2.0 the regulation term lambda/alpha is 6.401643479567235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3182336511747388 the lambda is 2.0 the regulation term lambda/alpha is 6.284690486430741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34029365922295857 the lambda is 2.0 the regulation term lambda/alpha is 5.877276716136549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.305808390141792 the lambda is 2.0 the regulation term lambda/alpha is 6.54004293038747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2810500216262156 the lambda is 2.0 the regulation term lambda/alpha is 7.116170952158522 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31559352729522544 the lambda is 2.0 the regulation term lambda/alpha is 6.3372655869747225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36309205990041676 the lambda is 2.0 the regulation term lambda/alpha is 5.508244935316208 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3702217388634046 the lambda is 2.0 the regulation term lambda/alpha is 5.402167917367789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3282229799916794 the lambda is 2.0 the regulation term lambda/alpha is 6.093418565789333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32856735881568233 the lambda is 2.0 the regulation term lambda/alpha is 6.087031917013849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3025961239911742 the lambda is 2.0 the regulation term lambda/alpha is 6.609469987984162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.311109622804497 the lambda is 2.0 the regulation term lambda/alpha is 6.428602181992972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3417930122723235 the lambda is 2.0 the regulation term lambda/alpha is 5.851494700560176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3261544254272128 the lambda is 2.0 the regulation term lambda/alpha is 6.132064580697636 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35445981030068213 the lambda is 2.0 the regulation term lambda/alpha is 5.6423886203161775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2869200489937906 the lambda is 2.0 the regulation term lambda/alpha is 6.970582944670009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28902309414525834 the lambda is 2.0 the regulation term lambda/alpha is 6.919862255003167 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29527847957229647 the lambda is 2.0 the regulation term lambda/alpha is 6.773267062662169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32257973855602673 the lambda is 2.0 the regulation term lambda/alpha is 6.200017425002139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2886530726429021 the lambda is 2.0 the regulation term lambda/alpha is 6.928732757590411 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3376741512334401 the lambda is 2.0 the regulation term lambda/alpha is 5.922869703512973 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2877694206822021 the lambda is 2.0 the regulation term lambda/alpha is 6.950008778760054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2968987409629839 the lambda is 2.0 the regulation term lambda/alpha is 6.736303406046951 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31804155788239696 the lambda is 2.0 the regulation term lambda/alpha is 6.288486364223965 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3849814040034406 the lambda is 2.0 the regulation term lambda/alpha is 5.195056122716322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3423662460628406 the lambda is 2.0 the regulation term lambda/alpha is 5.8416973723306365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29499395158795705 the lambda is 2.0 the regulation term lambda/alpha is 6.779800023810552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3202165644657388 the lambda is 2.0 the regulation term lambda/alpha is 6.245773085901643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28943939519799017 the lambda is 2.0 the regulation term lambda/alpha is 6.909909408261117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2956138148523595 the lambda is 2.0 the regulation term lambda/alpha is 6.76558367544113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28770842172691063 the lambda is 2.0 the regulation term lambda/alpha is 6.951482295844562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3346806603020008 the lambda is 2.0 the regulation term lambda/alpha is 5.975845745599074 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3377900483134173 the lambda is 2.0 the regulation term lambda/alpha is 5.920837543870763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32929441101251933 the lambda is 2.0 the regulation term lambda/alpha is 6.07359230255494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3418134238341758 the lambda is 2.0 the regulation term lambda/alpha is 5.851145275588303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3510978794391253 the lambda is 2.0 the regulation term lambda/alpha is 5.696417201935188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30199015213512653 the lambda is 2.0 the regulation term lambda/alpha is 6.622732515810957 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3265049640900559 the lambda is 2.0 the regulation term lambda/alpha is 6.125481141071914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3147070223035184 the lambda is 2.0 the regulation term lambda/alpha is 6.355117166947438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29263443385330046 the lambda is 2.0 the regulation term lambda/alpha is 6.834465697234431 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3468428648603059 the lambda is 2.0 the regulation term lambda/alpha is 5.766299966428654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37468113266809977 the lambda is 2.0 the regulation term lambda/alpha is 5.337872194839448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3479601063686978 the lambda is 2.0 the regulation term lambda/alpha is 5.747785344911938 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3071612000396705 the lambda is 2.0 the regulation term lambda/alpha is 6.511239048882788 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36230174512898394 the lambda is 2.0 the regulation term lambda/alpha is 5.5202604649005345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33210304322448597 the lambda is 2.0 the regulation term lambda/alpha is 6.022227259893233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2759064648636581 the lambda is 2.0 the regulation term lambda/alpha is 7.248833408047614 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.322777490709251 the lambda is 2.0 the regulation term lambda/alpha is 6.196218935853691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3045760761832112 the lambda is 2.0 the regulation term lambda/alpha is 6.566503925925367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31893840957691194 the lambda is 2.0 the regulation term lambda/alpha is 6.270803201950815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3209557377624713 the lambda is 2.0 the regulation term lambda/alpha is 6.231388832438115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30867495607253875 the lambda is 2.0 the regulation term lambda/alpha is 6.479307636250215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2993026240727023 the lambda is 2.0 the regulation term lambda/alpha is 6.682200018113401 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2819828954666654 the lambda is 2.0 the regulation term lambda/alpha is 7.092628780515626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3298538265990102 the lambda is 2.0 the regulation term lambda/alpha is 6.063291793886988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3188963653108926 the lambda is 2.0 the regulation term lambda/alpha is 6.271629963703715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2854145817683867 the lambda is 2.0 the regulation term lambda/alpha is 7.00735045703795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32627209355897835 the lambda is 2.0 the regulation term lambda/alpha is 6.129853087292835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32808408522070825 the lambda is 2.0 the regulation term lambda/alpha is 6.095998221475945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31041784213298573 the lambda is 2.0 the regulation term lambda/alpha is 6.442928622457154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2824528844452015 the lambda is 2.0 the regulation term lambda/alpha is 7.080826963153278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31449786994060347 the lambda is 2.0 the regulation term lambda/alpha is 6.359343547788489 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28222440873736887 the lambda is 2.0 the regulation term lambda/alpha is 7.086559270148569 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30614804039039767 the lambda is 2.0 the regulation term lambda/alpha is 6.532787201412804 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33357368768698364 the lambda is 2.0 the regulation term lambda/alpha is 5.99567673897812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36054779254165314 the lambda is 2.0 the regulation term lambda/alpha is 5.547114810774899 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2919434176605662 the lambda is 2.0 the regulation term lambda/alpha is 6.8506425526789565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30841633721520506 the lambda is 2.0 the regulation term lambda/alpha is 6.48474078273114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3179040352873567 the lambda is 2.0 the regulation term lambda/alpha is 6.291206710201648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38071300202676 the lambda is 2.0 the regulation term lambda/alpha is 5.2533010150765005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29785512212308213 the lambda is 2.0 the regulation term lambda/alpha is 6.7146738513146795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3382559332425524 the lambda is 2.0 the regulation term lambda/alpha is 5.912682686236474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32911688831644154 the lambda is 2.0 the regulation term lambda/alpha is 6.076868343738795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30375679244418685 the lambda is 2.0 the regulation term lambda/alpha is 6.584214903992594 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34523934547745255 the lambda is 2.0 the regulation term lambda/alpha is 5.793082469305687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.306898602426428 the lambda is 2.0 the regulation term lambda/alpha is 6.516810386842523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3222527289425093 the lambda is 2.0 the regulation term lambda/alpha is 6.206308963040016 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2614878706162419 the lambda is 2.0 the regulation term lambda/alpha is 7.648538325263998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3300249217053262 the lambda is 2.0 the regulation term lambda/alpha is 6.060148396264955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3319567135094135 the lambda is 2.0 the regulation term lambda/alpha is 6.024881915645561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3457803643324248 the lambda is 2.0 the regulation term lambda/alpha is 5.784018429910753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3064032387500464 the lambda is 2.0 the regulation term lambda/alpha is 6.527346147380426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3156118672901269 the lambda is 2.0 the regulation term lambda/alpha is 6.336897332702308 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.40076900027018636 the lambda is 2.0 the regulation term lambda/alpha is 4.99040594120718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26548631882991763 the lambda is 2.0 the regulation term lambda/alpha is 7.533344877486094 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089806221482648 the lambda is 2.0 the regulation term lambda/alpha is 6.472897834480691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3386389049626989 the lambda is 2.0 the regulation term lambda/alpha is 5.905995946391039 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33320786500000116 the lambda is 2.0 the regulation term lambda/alpha is 6.00225928040442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30909009042400976 the lambda is 2.0 the regulation term lambda/alpha is 6.470605373522005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.334239777368119 the lambda is 2.0 the regulation term lambda/alpha is 5.983728255650661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30424079443337804 the lambda is 2.0 the regulation term lambda/alpha is 6.5737403944294375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3670803458136815 the lambda is 2.0 the regulation term lambda/alpha is 5.448398484987637 890 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34314474369982106 the lambda is 2.0 the regulation term lambda/alpha is 5.8284442257101166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2894603594338109 the lambda is 2.0 the regulation term lambda/alpha is 6.9094089564181855 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28199872560671657 the lambda is 2.0 the regulation term lambda/alpha is 7.0922306322378805 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3816075717540405 the lambda is 2.0 the regulation term lambda/alpha is 5.240986154459929 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2597391219676597 the lambda is 2.0 the regulation term lambda/alpha is 7.700033729416478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30208559834418547 the lambda is 2.0 the regulation term lambda/alpha is 6.620640013832344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2750047994108017 the lambda is 2.0 the regulation term lambda/alpha is 7.272600348375751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30378075548558536 the lambda is 2.0 the regulation term lambda/alpha is 6.5836955234476715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2873733499670255 the lambda is 2.0 the regulation term lambda/alpha is 6.959587589557239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2819032385429522 the lambda is 2.0 the regulation term lambda/alpha is 7.09463293269428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3294862655979924 the lambda is 2.0 the regulation term lambda/alpha is 6.070055746846239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.307343187160723 the lambda is 2.0 the regulation term lambda/alpha is 6.50738354891242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32574222809544934 the lambda is 2.0 the regulation term lambda/alpha is 6.139824153882676 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3347343039464909 the lambda is 2.0 the regulation term lambda/alpha is 5.974888072181902 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3155188427591802 the lambda is 2.0 the regulation term lambda/alpha is 6.338765642362921 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30218373165640083 the lambda is 2.0 the regulation term lambda/alpha is 6.618489979712434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30623450484010967 the lambda is 2.0 the regulation term lambda/alpha is 6.530942687350776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.312589660404227 the lambda is 2.0 the regulation term lambda/alpha is 6.39816428161344 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2903704542788244 the lambda is 2.0 the regulation term lambda/alpha is 6.887753111683761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3060106017598545 the lambda is 2.0 the regulation term lambda/alpha is 6.535721274028028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33722521115101534 the lambda is 2.0 the regulation term lambda/alpha is 5.930754682230342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31354968341686146 the lambda is 2.0 the regulation term lambda/alpha is 6.37857445175927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34917918236776824 the lambda is 2.0 the regulation term lambda/alpha is 5.727718320542738 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31382624195100967 the lambda is 2.0 the regulation term lambda/alpha is 6.372953350128741 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3765595165568632 the lambda is 2.0 the regulation term lambda/alpha is 5.311245399631231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32214149632869304 the lambda is 2.0 the regulation term lambda/alpha is 6.208451946716374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29164999805453273 the lambda is 2.0 the regulation term lambda/alpha is 6.857534762013062 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3260254129888095 the lambda is 2.0 the regulation term lambda/alpha is 6.134491117318661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3342341431388075 the lambda is 2.0 the regulation term lambda/alpha is 5.983829124152046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32052728119883006 the lambda is 2.0 the regulation term lambda/alpha is 6.239718480497628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30660235186318624 the lambda is 2.0 the regulation term lambda/alpha is 6.523107170725327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3052291502813198 the lambda is 2.0 the regulation term lambda/alpha is 6.552454109172289 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34195462873120824 the lambda is 2.0 the regulation term lambda/alpha is 5.848729135268089 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3443866167939828 the lambda is 2.0 the regulation term lambda/alpha is 5.807426602748706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3395356351303706 the lambda is 2.0 the regulation term lambda/alpha is 5.890397923128349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3040347826681043 the lambda is 2.0 the regulation term lambda/alpha is 6.578194713278166 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3537658579434971 the lambda is 2.0 the regulation term lambda/alpha is 5.653456813572543 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.276047854636952 the lambda is 2.0 the regulation term lambda/alpha is 7.245120606462697 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3389431896561779 the lambda is 2.0 the regulation term lambda/alpha is 5.900693865626239 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3609289741582394 the lambda is 2.0 the regulation term lambda/alpha is 5.541256433248152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3162822512502119 the lambda is 2.0 the regulation term lambda/alpha is 6.323465803390255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3130740375204289 the lambda is 2.0 the regulation term lambda/alpha is 6.388265267347488 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35858384552539474 the lambda is 2.0 the regulation term lambda/alpha is 5.577496100164838 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2851482113847384 the lambda is 2.0 the regulation term lambda/alpha is 7.0138963533651095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27677618108125884 the lambda is 2.0 the regulation term lambda/alpha is 7.226055335349898 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36757459920586144 the lambda is 2.0 the regulation term lambda/alpha is 5.441072381826615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3150081799433914 the lambda is 2.0 the regulation term lambda/alpha is 6.349041476825809 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31396784527902977 the lambda is 2.0 the regulation term lambda/alpha is 6.370079070430153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2720088473793057 the lambda is 2.0 the regulation term lambda/alpha is 7.3527020141777895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.334867576301396 the lambda is 2.0 the regulation term lambda/alpha is 5.972510154879579 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3071382091587727 the lambda is 2.0 the regulation term lambda/alpha is 6.511726448747103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32837411950311374 the lambda is 2.0 the regulation term lambda/alpha is 6.090613971120326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3047757353064715 the lambda is 2.0 the regulation term lambda/alpha is 6.562202197589228 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3763688069115887 the lambda is 2.0 the regulation term lambda/alpha is 5.313936658065853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3189349986733741 the lambda is 2.0 the regulation term lambda/alpha is 6.270870266101554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3541236165254097 the lambda is 2.0 the regulation term lambda/alpha is 5.647745325837348 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3438332710987308 the lambda is 2.0 the regulation term lambda/alpha is 5.81677274455998 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.364885819378653 the lambda is 2.0 the regulation term lambda/alpha is 5.4811666932020175 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3111705600669988 the lambda is 2.0 the regulation term lambda/alpha is 6.427343253710685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34422728482512793 the lambda is 2.0 the regulation term lambda/alpha is 5.810114677620708 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3091824827387881 the lambda is 2.0 the regulation term lambda/alpha is 6.468671776886189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27475810976069603 the lambda is 2.0 the regulation term lambda/alpha is 7.279130001811137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30146081235932226 the lambda is 2.0 the regulation term lambda/alpha is 6.634361475866144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.307700686489622 the lambda is 2.0 the regulation term lambda/alpha is 6.499823002726564 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32648849778395245 the lambda is 2.0 the regulation term lambda/alpha is 6.125790077062567 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31437469671281537 the lambda is 2.0 the regulation term lambda/alpha is 6.36183516330203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29626345817538785 the lambda is 2.0 the regulation term lambda/alpha is 6.750748176361328 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31342102928026233 the lambda is 2.0 the regulation term lambda/alpha is 6.38119275082717 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3141022683496425 the lambda is 2.0 the regulation term lambda/alpha is 6.3673529341523345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30255168509403524 the lambda is 2.0 the regulation term lambda/alpha is 6.610440789243615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3029907538039193 the lambda is 2.0 the regulation term lambda/alpha is 6.600861494586404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2998151574168141 the lambda is 2.0 the regulation term lambda/alpha is 6.670776812059326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33227796818276795 the lambda is 2.0 the regulation term lambda/alpha is 6.019056908702142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3037854908551617 the lambda is 2.0 the regulation term lambda/alpha is 6.583592897639592 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.300759902239576 the lambda is 2.0 the regulation term lambda/alpha is 6.649822616336875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3359713009181724 the lambda is 2.0 the regulation term lambda/alpha is 5.952889412084369 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3327804815411457 the lambda is 2.0 the regulation term lambda/alpha is 6.009967864514661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30941507028388127 the lambda is 2.0 the regulation term lambda/alpha is 6.463809271361752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3291241315721384 the lambda is 2.0 the regulation term lambda/alpha is 6.076734606017895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3229970988763719 the lambda is 2.0 the regulation term lambda/alpha is 6.192006079799206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2992009522552717 the lambda is 2.0 the regulation term lambda/alpha is 6.684470704136141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2741992008905249 the lambda is 2.0 the regulation term lambda/alpha is 7.293967281832115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31445444567952147 the lambda is 2.0 the regulation term lambda/alpha is 6.360221734751095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2871223620366765 the lambda is 2.0 the regulation term lambda/alpha is 6.965671311050734 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2881160558090015 the lambda is 2.0 the regulation term lambda/alpha is 6.941647158066901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2857416431137594 the lambda is 2.0 the regulation term lambda/alpha is 6.999329807884393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31779548698898336 the lambda is 2.0 the regulation term lambda/alpha is 6.293355575780507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3084663608147163 the lambda is 2.0 the regulation term lambda/alpha is 6.483689160521856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3638215947208288 the lambda is 2.0 the regulation term lambda/alpha is 5.49719980622552 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2849182031742706 the lambda is 2.0 the regulation term lambda/alpha is 7.019558517911533 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30797232556826437 the lambda is 2.0 the regulation term lambda/alpha is 6.494090000813028 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298047747357572 the lambda is 2.0 the regulation term lambda/alpha is 6.710334225745958 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3550468162723075 the lambda is 2.0 the regulation term lambda/alpha is 5.633059946849588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4033080353952805 the lambda is 2.0 the regulation term lambda/alpha is 4.958988724436915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29587141029572267 the lambda is 2.0 the regulation term lambda/alpha is 6.759693334347531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33246890804950474 the lambda is 2.0 the regulation term lambda/alpha is 6.0156001104987515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29014030058988266 the lambda is 2.0 the regulation term lambda/alpha is 6.89321681935881 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114592495279217 the lambda is 2.0 the regulation term lambda/alpha is 6.421385792945295 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30399730780518286 the lambda is 2.0 the regulation term lambda/alpha is 6.579005631463365 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3152838277888599 the lambda is 2.0 the regulation term lambda/alpha is 6.343490606626881 900 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.312367829778856 the lambda is 2.0 the regulation term lambda/alpha is 6.402707991459685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3330485772959194 the lambda is 2.0 the regulation term lambda/alpha is 6.005129991061231 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3110834945134537 the lambda is 2.0 the regulation term lambda/alpha is 6.429142128315343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3197096387595562 the lambda is 2.0 the regulation term lambda/alpha is 6.255676268503555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2934769958703849 the lambda is 2.0 the regulation term lambda/alpha is 6.814844189298253 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34614253596685907 the lambda is 2.0 the regulation term lambda/alpha is 5.777966566326558 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30759166869654553 the lambda is 2.0 the regulation term lambda/alpha is 6.502126694377732 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29383019103820257 the lambda is 2.0 the regulation term lambda/alpha is 6.806652485006104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2764363811933366 the lambda is 2.0 the regulation term lambda/alpha is 7.2349377146607265 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3183326232741283 the lambda is 2.0 the regulation term lambda/alpha is 6.282736527062525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32638968391863626 the lambda is 2.0 the regulation term lambda/alpha is 6.1276446485317475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3130778789344843 the lambda is 2.0 the regulation term lambda/alpha is 6.38818688438389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2834144800307764 the lambda is 2.0 the regulation term lambda/alpha is 7.056802460420572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34060635449213894 the lambda is 2.0 the regulation term lambda/alpha is 5.871881054544915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2888115718515887 the lambda is 2.0 the regulation term lambda/alpha is 6.924930283014207 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30911905885173835 the lambda is 2.0 the regulation term lambda/alpha is 6.469998994656789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33889585981962 the lambda is 2.0 the regulation term lambda/alpha is 5.901517950276866 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3477299659992023 the lambda is 2.0 the regulation term lambda/alpha is 5.7515894388135305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36506378484839186 the lambda is 2.0 the regulation term lambda/alpha is 5.478494671364305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30392271063223997 the lambda is 2.0 the regulation term lambda/alpha is 6.580620434186931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33090444155735416 the lambda is 2.0 the regulation term lambda/alpha is 6.0440409641746955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27886213838288765 the lambda is 2.0 the regulation term lambda/alpha is 7.1720026662562875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3389739850986578 the lambda is 2.0 the regulation term lambda/alpha is 5.900157793577886 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3400999385543076 the lambda is 2.0 the regulation term lambda/alpha is 5.880624408524077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2951339868447505 the lambda is 2.0 the regulation term lambda/alpha is 6.776583142395122 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29458416308110447 the lambda is 2.0 the regulation term lambda/alpha is 6.789231230496811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114640806988646 the lambda is 2.0 the regulation term lambda/alpha is 6.421286189766699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27797791797448224 the lambda is 2.0 the regulation term lambda/alpha is 7.1948161011249665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3267692850509949 the lambda is 2.0 the regulation term lambda/alpha is 6.120526290247519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31720968581298264 the lambda is 2.0 the regulation term lambda/alpha is 6.304977714895945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3301022522222491 the lambda is 2.0 the regulation term lambda/alpha is 6.058728731888364 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2922033526839729 the lambda is 2.0 the regulation term lambda/alpha is 6.844548433922532 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3304851674637147 the lambda is 2.0 the regulation term lambda/alpha is 6.05170881146909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.330514079749084 the lambda is 2.0 the regulation term lambda/alpha is 6.0511794278729 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30729164170978635 the lambda is 2.0 the regulation term lambda/alpha is 6.508475104860966 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2679341142110954 the lambda is 2.0 the regulation term lambda/alpha is 7.464521663800801 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3011030074619079 the lambda is 2.0 the regulation term lambda/alpha is 6.6422451800087625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4343836572432079 the lambda is 2.0 the regulation term lambda/alpha is 4.604224782978464 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3242675514369245 the lambda is 2.0 the regulation term lambda/alpha is 6.167746329034201 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2801179033797563 the lambda is 2.0 the regulation term lambda/alpha is 7.139850669553945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3362252658165297 the lambda is 2.0 the regulation term lambda/alpha is 5.948392947635749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33135652486919703 the lambda is 2.0 the regulation term lambda/alpha is 6.03579483092871 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3132182182684814 the lambda is 2.0 the regulation term lambda/alpha is 6.385324618268721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2945865083567789 the lambda is 2.0 the regulation term lambda/alpha is 6.789177179756531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3271738906862786 the lambda is 2.0 the regulation term lambda/alpha is 6.11295722835587 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32127866333404703 the lambda is 2.0 the regulation term lambda/alpha is 6.225125500850691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3098602324057973 the lambda is 2.0 the regulation term lambda/alpha is 6.454523010170508 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31572299269106957 the lambda is 2.0 the regulation term lambda/alpha is 6.334666927337064 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29334889293256916 the lambda is 2.0 the regulation term lambda/alpha is 6.817820173126514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27382522019417305 the lambda is 2.0 the regulation term lambda/alpha is 7.303929121582643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34058571116251823 the lambda is 2.0 the regulation term lambda/alpha is 5.872236956663324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3371490083752512 the lambda is 2.0 the regulation term lambda/alpha is 5.932095157681657 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28877112904853 the lambda is 2.0 the regulation term lambda/alpha is 6.925900129246945 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3050416920406478 the lambda is 2.0 the regulation term lambda/alpha is 6.556480809624848 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33800962348020536 the lambda is 2.0 the regulation term lambda/alpha is 5.916991295714173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2957432947485803 the lambda is 2.0 the regulation term lambda/alpha is 6.7626216232569405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.360107523988396 the lambda is 2.0 the regulation term lambda/alpha is 5.553896730201192 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32972208516493695 the lambda is 2.0 the regulation term lambda/alpha is 6.065714400051606 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.329026584331467 the lambda is 2.0 the regulation term lambda/alpha is 6.078536188994279 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3029366386710975 the lambda is 2.0 the regulation term lambda/alpha is 6.602040640489934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3209845957255665 the lambda is 2.0 the regulation term lambda/alpha is 6.230828602472712 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2872170324744067 the lambda is 2.0 the regulation term lambda/alpha is 6.963375335960327 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2820573233491203 the lambda is 2.0 the regulation term lambda/alpha is 7.090757212938849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29690018524077105 the lambda is 2.0 the regulation term lambda/alpha is 6.736270637143931 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3153451845276797 the lambda is 2.0 the regulation term lambda/alpha is 6.3422563531311775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32364281319942645 the lambda is 2.0 the regulation term lambda/alpha is 6.179652130163675 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30354674207423943 the lambda is 2.0 the regulation term lambda/alpha is 6.588771094472341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31618566584889396 the lambda is 2.0 the regulation term lambda/alpha is 6.325397435808509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35771877868962715 the lambda is 2.0 the regulation term lambda/alpha is 5.590984089027346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31130923297084734 the lambda is 2.0 the regulation term lambda/alpha is 6.42448018940476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29735482273638114 the lambda is 2.0 the regulation term lambda/alpha is 6.725971287753731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29018108152277844 the lambda is 2.0 the regulation term lambda/alpha is 6.892248073184624 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31081402813732784 the lambda is 2.0 the regulation term lambda/alpha is 6.434716000387004 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30194324368573033 the lambda is 2.0 the regulation term lambda/alpha is 6.623761391666201 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.329525160750499 the lambda is 2.0 the regulation term lambda/alpha is 6.069339274260476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30180956370078815 the lambda is 2.0 the regulation term lambda/alpha is 6.626695242774963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3551885834609904 the lambda is 2.0 the regulation term lambda/alpha is 5.630811611431356 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.329809724176842 the lambda is 2.0 the regulation term lambda/alpha is 6.064102582153132 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3339485330637244 the lambda is 2.0 the regulation term lambda/alpha is 5.988946804621412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35314169060550843 the lambda is 2.0 the regulation term lambda/alpha is 5.663449128792281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27274554595014766 the lambda is 2.0 the regulation term lambda/alpha is 7.332842019592721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3316847705167741 the lambda is 2.0 the regulation term lambda/alpha is 6.029821619135375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3231774844494425 the lambda is 2.0 the regulation term lambda/alpha is 6.188549933814704 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3109498181425183 the lambda is 2.0 the regulation term lambda/alpha is 6.4319059967526195 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298330039404381 the lambda is 2.0 the regulation term lambda/alpha is 6.7039846339075355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3345300022195917 the lambda is 2.0 the regulation term lambda/alpha is 5.9785370123160515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31568208897252015 the lambda is 2.0 the regulation term lambda/alpha is 6.335487725989099 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3348320353901135 the lambda is 2.0 the regulation term lambda/alpha is 5.973144109911095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30659335679205696 the lambda is 2.0 the regulation term lambda/alpha is 6.523298550648227 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34912601448485636 the lambda is 2.0 the regulation term lambda/alpha is 5.728590586270252 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32458938926877967 the lambda is 2.0 the regulation term lambda/alpha is 6.161630866940875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3170219889712476 the lambda is 2.0 the regulation term lambda/alpha is 6.308710655970903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3188218116400105 the lambda is 2.0 the regulation term lambda/alpha is 6.273096529098984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3294432115745687 the lambda is 2.0 the regulation term lambda/alpha is 6.070849025666765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29346057541409154 the lambda is 2.0 the regulation term lambda/alpha is 6.815225510881224 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3277823707819729 the lambda is 2.0 the regulation term lambda/alpha is 6.101609416115658 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34376891807182525 the lambda is 2.0 the regulation term lambda/alpha is 5.817861635711146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3563432166227674 the lambda is 2.0 the regulation term lambda/alpha is 5.612566499665526 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34388705868774017 the lambda is 2.0 the regulation term lambda/alpha is 5.8158629395125345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30053264138824115 the lambda is 2.0 the regulation term lambda/alpha is 6.6548511694485555 910 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28194860861512955 the lambda is 2.0 the regulation term lambda/alpha is 7.093491291989581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303260621061219 the lambda is 2.0 the regulation term lambda/alpha is 6.594987483047664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3235375868185152 the lambda is 2.0 the regulation term lambda/alpha is 6.181661981431165 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2879536860172477 the lambda is 2.0 the regulation term lambda/alpha is 6.945561377117448 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2897528165536951 the lambda is 2.0 the regulation term lambda/alpha is 6.902435060987139 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3171772022259689 the lambda is 2.0 the regulation term lambda/alpha is 6.305623436879695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30873206264068587 the lambda is 2.0 the regulation term lambda/alpha is 6.478109150353056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2895482593612998 the lambda is 2.0 the regulation term lambda/alpha is 6.907311425085757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28301438744952395 the lambda is 2.0 the regulation term lambda/alpha is 7.0667785409203026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30823325293971354 the lambda is 2.0 the regulation term lambda/alpha is 6.488592586703078 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3611066835100189 the lambda is 2.0 the regulation term lambda/alpha is 5.53852944664346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32422171121860033 the lambda is 2.0 the regulation term lambda/alpha is 6.168618358353978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29602677877174455 the lambda is 2.0 the regulation term lambda/alpha is 6.756145536218962 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29601019017612423 the lambda is 2.0 the regulation term lambda/alpha is 6.75652415482728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31422396614727716 the lambda is 2.0 the regulation term lambda/alpha is 6.364886881551859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33719988513589794 the lambda is 2.0 the regulation term lambda/alpha is 5.931200122425789 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3431650324740989 the lambda is 2.0 the regulation term lambda/alpha is 5.828099633522405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2804857265504744 the lambda is 2.0 the regulation term lambda/alpha is 7.13048761730873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3786930175016375 the lambda is 2.0 the regulation term lambda/alpha is 5.28132262167034 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3528681874702627 the lambda is 2.0 the regulation term lambda/alpha is 5.667838788013572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30128745716797783 the lambda is 2.0 the regulation term lambda/alpha is 6.6381787638936895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2816319493956048 the lambda is 2.0 the regulation term lambda/alpha is 7.10146701853995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27116306351764125 the lambda is 2.0 the regulation term lambda/alpha is 7.375635803988786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34025906849188176 the lambda is 2.0 the regulation term lambda/alpha is 5.877874199986879 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2968320223553944 the lambda is 2.0 the regulation term lambda/alpha is 6.7378175175635775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29352150180360703 the lambda is 2.0 the regulation term lambda/alpha is 6.813810871471299 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3278022195180799 the lambda is 2.0 the regulation term lambda/alpha is 6.101239957863342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303559076727994 the lambda is 2.0 the regulation term lambda/alpha is 6.5885033699457205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32321062424350605 the lambda is 2.0 the regulation term lambda/alpha is 6.187915402475152 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3385801357964454 the lambda is 2.0 the regulation term lambda/alpha is 5.907021081716387 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32409359437149565 the lambda is 2.0 the regulation term lambda/alpha is 6.171056863615389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3352201916133009 the lambda is 2.0 the regulation term lambda/alpha is 5.9662277214707125 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2965318704572998 the lambda is 2.0 the regulation term lambda/alpha is 6.744637589597633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2650940802825222 the lambda is 2.0 the regulation term lambda/alpha is 7.5444913664934115 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28593174488723017 the lambda is 2.0 the regulation term lambda/alpha is 6.994676302167108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30597088591599947 the lambda is 2.0 the regulation term lambda/alpha is 6.536569628226247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3202124346772389 the lambda is 2.0 the regulation term lambda/alpha is 6.245853637807409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3521130687166249 the lambda is 2.0 the regulation term lambda/alpha is 5.679993665925444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3543527186415437 the lambda is 2.0 the regulation term lambda/alpha is 5.644093849956209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3214134964639653 the lambda is 2.0 the regulation term lambda/alpha is 6.22251405744633 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3084191558142921 the lambda is 2.0 the regulation term lambda/alpha is 6.484681519601385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30470434159048115 the lambda is 2.0 the regulation term lambda/alpha is 6.563739753626403 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3511164053143771 the lambda is 2.0 the regulation term lambda/alpha is 5.696116643166449 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33967974484098995 the lambda is 2.0 the regulation term lambda/alpha is 5.887898911771249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3332988470283905 the lambda is 2.0 the regulation term lambda/alpha is 6.000620817718098 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3138555949530024 the lambda is 2.0 the regulation term lambda/alpha is 6.3723573266217715 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30349318017646093 the lambda is 2.0 the regulation term lambda/alpha is 6.589933911652097 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27780575532295276 the lambda is 2.0 the regulation term lambda/alpha is 7.199274895061027 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30678181972187385 the lambda is 2.0 the regulation term lambda/alpha is 6.519291142523326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2939903011844011 the lambda is 2.0 the regulation term lambda/alpha is 6.80294551195255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30552217958275957 the lambda is 2.0 the regulation term lambda/alpha is 6.546169586546307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3436766219476411 the lambda is 2.0 the regulation term lambda/alpha is 5.819424052371821 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128895508174846 the lambda is 2.0 the regulation term lambda/alpha is 6.392031931953664 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3150610211512906 the lambda is 2.0 the regulation term lambda/alpha is 6.347976632246142 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36593788821011203 the lambda is 2.0 the regulation term lambda/alpha is 5.465408377860157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3517266566991219 the lambda is 2.0 the regulation term lambda/alpha is 5.686233789527256 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28982998590071263 the lambda is 2.0 the regulation term lambda/alpha is 6.900597237323615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.315996552359476 the lambda is 2.0 the regulation term lambda/alpha is 6.329182977049733 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32150106915180354 the lambda is 2.0 the regulation term lambda/alpha is 6.220819125972043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33290908708162537 the lambda is 2.0 the regulation term lambda/alpha is 6.007646164100121 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35260138692368437 the lambda is 2.0 the regulation term lambda/alpha is 5.672127433897111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3259406702557068 the lambda is 2.0 the regulation term lambda/alpha is 6.136086050356837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208343557599356 the lambda is 2.0 the regulation term lambda/alpha is 6.233746368161709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3252055818013211 the lambda is 2.0 the regulation term lambda/alpha is 6.149955941475404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3347373397250353 the lambda is 2.0 the regulation term lambda/alpha is 5.974833885107854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3459843114396643 the lambda is 2.0 the regulation term lambda/alpha is 5.780608928994103 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3587540706674878 the lambda is 2.0 the regulation term lambda/alpha is 5.5748496352357915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32771668233528506 the lambda is 2.0 the regulation term lambda/alpha is 6.102832439740774 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30824015196359794 the lambda is 2.0 the regulation term lambda/alpha is 6.488447359175299 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27134050176806135 the lambda is 2.0 the regulation term lambda/alpha is 7.370812639351483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3069180032855993 the lambda is 2.0 the regulation term lambda/alpha is 6.516398447108758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30975347344662024 the lambda is 2.0 the regulation term lambda/alpha is 6.456747612047875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2785914554949288 the lambda is 2.0 the regulation term lambda/alpha is 7.178971072342906 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33884590842291185 the lambda is 2.0 the regulation term lambda/alpha is 5.902387929984417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30732343125645606 the lambda is 2.0 the regulation term lambda/alpha is 6.507801867964421 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2931972412699942 the lambda is 2.0 the regulation term lambda/alpha is 6.821346583402113 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29870366464578746 the lambda is 2.0 the regulation term lambda/alpha is 6.695599139607695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29609240993950886 the lambda is 2.0 the regulation term lambda/alpha is 6.754647984420122 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.310069784355699 the lambda is 2.0 the regulation term lambda/alpha is 6.450160902184795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31697234408879815 the lambda is 2.0 the regulation term lambda/alpha is 6.3096987396468585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2825163573919293 the lambda is 2.0 the regulation term lambda/alpha is 7.079236113841861 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29593830857067327 the lambda is 2.0 the regulation term lambda/alpha is 6.758165273227472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2855319703870029 the lambda is 2.0 the regulation term lambda/alpha is 7.004469577572172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29307037892998283 the lambda is 2.0 the regulation term lambda/alpha is 6.824299362160439 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2806689923114116 the lambda is 2.0 the regulation term lambda/alpha is 7.125831690666182 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30813787559294187 the lambda is 2.0 the regulation term lambda/alpha is 6.490600988766639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3196199258876957 the lambda is 2.0 the regulation term lambda/alpha is 6.257432149905249 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31282427476636837 the lambda is 2.0 the regulation term lambda/alpha is 6.393365737021823 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34322270809695504 the lambda is 2.0 the regulation term lambda/alpha is 5.827120271526531 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2750378850430054 the lambda is 2.0 the regulation term lambda/alpha is 7.271725492243647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30428996053917395 the lambda is 2.0 the regulation term lambda/alpha is 6.572678232486485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31316810904560294 the lambda is 2.0 the regulation term lambda/alpha is 6.3863463176219 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2597596477693352 the lambda is 2.0 the regulation term lambda/alpha is 7.699425284777051 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3234535860407197 the lambda is 2.0 the regulation term lambda/alpha is 6.18326735678305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31064053932376984 the lambda is 2.0 the regulation term lambda/alpha is 6.438309707914425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29326455872668233 the lambda is 2.0 the regulation term lambda/alpha is 6.81978077638753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3171523254056967 the lambda is 2.0 the regulation term lambda/alpha is 6.3061180378911885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32267458007136174 the lambda is 2.0 the regulation term lambda/alpha is 6.198195096613083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29739666786780145 the lambda is 2.0 the regulation term lambda/alpha is 6.725024911472911 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981377909476815 the lambda is 2.0 the regulation term lambda/alpha is 6.708307570277022 920 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30669192207856333 the lambda is 2.0 the regulation term lambda/alpha is 6.521202079419857 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29770188693477045 the lambda is 2.0 the regulation term lambda/alpha is 6.7181300749975446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29755575592962474 the lambda is 2.0 the regulation term lambda/alpha is 6.7214293796858104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3221921684424552 the lambda is 2.0 the regulation term lambda/alpha is 6.207475525145199 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3209501574453513 the lambda is 2.0 the regulation term lambda/alpha is 6.231497176755687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31613776674354327 the lambda is 2.0 the regulation term lambda/alpha is 6.326355818229198 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3271163630503935 the lambda is 2.0 the regulation term lambda/alpha is 6.114032270809677 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3358850069626568 the lambda is 2.0 the regulation term lambda/alpha is 5.954418799712478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30902843088861703 the lambda is 2.0 the regulation term lambda/alpha is 6.471896434412079 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2717721604851006 the lambda is 2.0 the regulation term lambda/alpha is 7.359105496420581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32439252588757994 the lambda is 2.0 the regulation term lambda/alpha is 6.1653701623603725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3110118396402606 the lambda is 2.0 the regulation term lambda/alpha is 6.4306233560540615 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3295144581920305 the lambda is 2.0 the regulation term lambda/alpha is 6.069536405089891 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31812086975307124 the lambda is 2.0 the regulation term lambda/alpha is 6.286918558824578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31732987846930283 the lambda is 2.0 the regulation term lambda/alpha is 6.302589625809445 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34448615287860995 the lambda is 2.0 the regulation term lambda/alpha is 5.8057486005969015 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3256263242839674 the lambda is 2.0 the regulation term lambda/alpha is 6.142009570012126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2811458356471654 the lambda is 2.0 the regulation term lambda/alpha is 7.1137457732433775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32765330289540523 the lambda is 2.0 the regulation term lambda/alpha is 6.104012937841337 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29192159214168195 the lambda is 2.0 the regulation term lambda/alpha is 6.851154740993996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2921303939903074 the lambda is 2.0 the regulation term lambda/alpha is 6.846257839457671 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31605089991548124 the lambda is 2.0 the regulation term lambda/alpha is 6.328094621894267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3466175914155683 the lambda is 2.0 the regulation term lambda/alpha is 5.77004759577292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2860278248349337 the lambda is 2.0 the regulation term lambda/alpha is 6.9923267121099055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3017433841968719 the lambda is 2.0 the regulation term lambda/alpha is 6.628148634719042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3215552191134072 the lambda is 2.0 the regulation term lambda/alpha is 6.219771538818137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3249510882362368 the lambda is 2.0 the regulation term lambda/alpha is 6.154772433154666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3247758074078863 the lambda is 2.0 the regulation term lambda/alpha is 6.15809415104678 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31443307069884496 the lambda is 2.0 the regulation term lambda/alpha is 6.360654098994386 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3081200636687581 the lambda is 2.0 the regulation term lambda/alpha is 6.490976199946795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31179089560647555 the lambda is 2.0 the regulation term lambda/alpha is 6.414555486329159 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32248446193049746 the lambda is 2.0 the regulation term lambda/alpha is 6.2018491930660655 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34220356078439845 the lambda is 2.0 the regulation term lambda/alpha is 5.844474544378215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30293242880222593 the lambda is 2.0 the regulation term lambda/alpha is 6.602132389417214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.294934912386795 the lambda is 2.0 the regulation term lambda/alpha is 6.781157184189447 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3099348496071169 the lambda is 2.0 the regulation term lambda/alpha is 6.452969075711435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3239825495795398 the lambda is 2.0 the regulation term lambda/alpha is 6.173171989033277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149103137822161 the lambda is 2.0 the regulation term lambda/alpha is 6.351014598344177 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32890305203653036 the lambda is 2.0 the regulation term lambda/alpha is 6.080819218965063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3435871389247077 the lambda is 2.0 the regulation term lambda/alpha is 5.820939649426959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3212829765275365 the lambda is 2.0 the regulation term lambda/alpha is 6.2250419291312316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3076306615272955 the lambda is 2.0 the regulation term lambda/alpha is 6.501302536199057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33408709681383886 the lambda is 2.0 the regulation term lambda/alpha is 5.9864628687364325 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34291047412288683 the lambda is 2.0 the regulation term lambda/alpha is 5.83242610222303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3553111603244487 the lambda is 2.0 the regulation term lambda/alpha is 5.628869068378603 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3242531953952771 the lambda is 2.0 the regulation term lambda/alpha is 6.168019400894178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3129659021896144 the lambda is 2.0 the regulation term lambda/alpha is 6.390472527541593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31705261368922477 the lambda is 2.0 the regulation term lambda/alpha is 6.308101285550043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2830674317794505 the lambda is 2.0 the regulation term lambda/alpha is 7.06545428920372 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3615992010514675 the lambda is 2.0 the regulation term lambda/alpha is 5.530985671938291 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30212402310894226 the lambda is 2.0 the regulation term lambda/alpha is 6.619797986996963 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.308340621846953 the lambda is 2.0 the regulation term lambda/alpha is 6.486333159802453 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29753985858725696 the lambda is 2.0 the regulation term lambda/alpha is 6.721788500862237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3302112830435342 the lambda is 2.0 the regulation term lambda/alpha is 6.056728230380684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010685009532809 the lambda is 2.0 the regulation term lambda/alpha is 6.643006470844172 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.302665340991378 the lambda is 2.0 the regulation term lambda/alpha is 6.607958458173689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34987029597159053 the lambda is 2.0 the regulation term lambda/alpha is 5.716404116119649 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.314546470291139 the lambda is 2.0 the regulation term lambda/alpha is 6.358360970157551 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3131036909420464 the lambda is 2.0 the regulation term lambda/alpha is 6.387660247576538 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30085028622743826 the lambda is 2.0 the regulation term lambda/alpha is 6.64782482037604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3153589242632502 the lambda is 2.0 the regulation term lambda/alpha is 6.341980030127425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3046645086515235 the lambda is 2.0 the regulation term lambda/alpha is 6.564597920683988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29834179239306075 the lambda is 2.0 the regulation term lambda/alpha is 6.70372053461766 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2628488281162781 the lambda is 2.0 the regulation term lambda/alpha is 7.608936339313819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35579934499534865 the lambda is 2.0 the regulation term lambda/alpha is 5.621145817528546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32938701971270534 the lambda is 2.0 the regulation term lambda/alpha is 6.0718846836903895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3497571284371027 the lambda is 2.0 the regulation term lambda/alpha is 5.7182537177642185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31181065143160713 the lambda is 2.0 the regulation term lambda/alpha is 6.414149070333096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149791766633196 the lambda is 2.0 the regulation term lambda/alpha is 6.349626096514293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28631170035307135 the lambda is 2.0 the regulation term lambda/alpha is 6.98539388203017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28434135144883244 the lambda is 2.0 the regulation term lambda/alpha is 7.033799304284106 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29590748062243327 the lambda is 2.0 the regulation term lambda/alpha is 6.758869345895057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29208446757604584 the lambda is 2.0 the regulation term lambda/alpha is 6.8473343228334755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32777738640755627 the lambda is 2.0 the regulation term lambda/alpha is 6.10170220075284 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.306235998773922 the lambda is 2.0 the regulation term lambda/alpha is 6.53091082696811 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2941618449244844 the lambda is 2.0 the regulation term lambda/alpha is 6.798978298879751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26250682338822284 the lambda is 2.0 the regulation term lambda/alpha is 7.6188495757391745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29684325252436805 the lambda is 2.0 the regulation term lambda/alpha is 6.7375626125637424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30665100694654124 the lambda is 2.0 the regulation term lambda/alpha is 6.522072175516 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30159382638965126 the lambda is 2.0 the regulation term lambda/alpha is 6.631435477117668 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128665553219544 the lambda is 2.0 the regulation term lambda/alpha is 6.392501742290434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30701674194855977 the lambda is 2.0 the regulation term lambda/alpha is 6.5143027292469196 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.38217129832818486 the lambda is 2.0 the regulation term lambda/alpha is 5.233255371999508 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30634370923251103 the lambda is 2.0 the regulation term lambda/alpha is 6.528614558499144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3235793469985011 the lambda is 2.0 the regulation term lambda/alpha is 6.1808641946769995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3041743914536817 the lambda is 2.0 the regulation term lambda/alpha is 6.575175478914539 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28974358139064077 the lambda is 2.0 the regulation term lambda/alpha is 6.902655066251637 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31136146183953245 the lambda is 2.0 the regulation term lambda/alpha is 6.423402524461257 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2947352542391357 the lambda is 2.0 the regulation term lambda/alpha is 6.785750843288278 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33218233264991537 the lambda is 2.0 the regulation term lambda/alpha is 6.020789799521896 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3000810986522398 the lambda is 2.0 the regulation term lambda/alpha is 6.664864961447554 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.4017583434143497 the lambda is 2.0 the regulation term lambda/alpha is 4.978116902322347 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30533227267135377 the lambda is 2.0 the regulation term lambda/alpha is 6.550241094732597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3632469870069291 the lambda is 2.0 the regulation term lambda/alpha is 5.505895634481475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32194774657923314 the lambda is 2.0 the regulation term lambda/alpha is 6.212188223866909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.349985113212274 the lambda is 2.0 the regulation term lambda/alpha is 5.714528774219474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2826312284949835 the lambda is 2.0 the regulation term lambda/alpha is 7.076358867525138 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.307992974156459 the lambda is 2.0 the regulation term lambda/alpha is 6.49365462143305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3575041946266628 the lambda is 2.0 the regulation term lambda/alpha is 5.594339954776126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3102105831706068 the lambda is 2.0 the regulation term lambda/alpha is 6.447233294100925 930 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30697490074922434 the lambda is 2.0 the regulation term lambda/alpha is 6.515190639751525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2734049949076787 the lambda is 2.0 the regulation term lambda/alpha is 7.315155308977967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30680383003144535 the lambda is 2.0 the regulation term lambda/alpha is 6.518823444267346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3345731554647299 the lambda is 2.0 the regulation term lambda/alpha is 5.97776590062031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2914222669722129 the lambda is 2.0 the regulation term lambda/alpha is 6.862893562593485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3212569955227729 the lambda is 2.0 the regulation term lambda/alpha is 6.22554536671008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3243387932624882 the lambda is 2.0 the regulation term lambda/alpha is 6.166391568156927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3301382878636881 the lambda is 2.0 the regulation term lambda/alpha is 6.058067402426787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3325881382735732 the lambda is 2.0 the regulation term lambda/alpha is 6.013443565311048 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.323748606044427 the lambda is 2.0 the regulation term lambda/alpha is 6.177632776357179 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3348212454610317 the lambda is 2.0 the regulation term lambda/alpha is 5.973336600089706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3549626519595749 the lambda is 2.0 the regulation term lambda/alpha is 5.634395587701917 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34984945291060565 the lambda is 2.0 the regulation term lambda/alpha is 5.716744683636949 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3052517405119901 the lambda is 2.0 the regulation term lambda/alpha is 6.551969193182835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3351987704711583 the lambda is 2.0 the regulation term lambda/alpha is 5.966608997964946 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31391177149527594 the lambda is 2.0 the regulation term lambda/alpha is 6.371216952053988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28128830352910017 the lambda is 2.0 the regulation term lambda/alpha is 7.110142778450415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31977744581671996 the lambda is 2.0 the regulation term lambda/alpha is 6.254349786589694 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3223848802027349 the lambda is 2.0 the regulation term lambda/alpha is 6.203764887305757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3453342398346018 the lambda is 2.0 the regulation term lambda/alpha is 5.7914905888217225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33697007577484034 the lambda is 2.0 the regulation term lambda/alpha is 5.935245126443744 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3273261636843355 the lambda is 2.0 the regulation term lambda/alpha is 6.110113464467038 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3287681283601877 the lambda is 2.0 the regulation term lambda/alpha is 6.083314736058797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33062849508376607 the lambda is 2.0 the regulation term lambda/alpha is 6.049085392634691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3034309058441825 the lambda is 2.0 the regulation term lambda/alpha is 6.591286390012749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3075487308571679 the lambda is 2.0 the regulation term lambda/alpha is 6.503034476604107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.286413658629866 the lambda is 2.0 the regulation term lambda/alpha is 6.982907203404749 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3265547454693001 the lambda is 2.0 the regulation term lambda/alpha is 6.124547346956326 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.383994405530382 the lambda is 2.0 the regulation term lambda/alpha is 5.208409214289342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30859847864566003 the lambda is 2.0 the regulation term lambda/alpha is 6.4809133498562925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2892420638500261 the lambda is 2.0 the regulation term lambda/alpha is 6.914623597199241 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3419774557601684 the lambda is 2.0 the regulation term lambda/alpha is 5.848338732020442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2842241010587688 the lambda is 2.0 the regulation term lambda/alpha is 7.036700943198556 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32066095605308204 the lambda is 2.0 the regulation term lambda/alpha is 6.23711731112322 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2981570918509614 the lambda is 2.0 the regulation term lambda/alpha is 6.707873314647609 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2951625921007217 the lambda is 2.0 the regulation term lambda/alpha is 6.775926399635077 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30554087623612736 the lambda is 2.0 the regulation term lambda/alpha is 6.545769013421186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3084068285668835 the lambda is 2.0 the regulation term lambda/alpha is 6.484940717083585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3099650863091333 the lambda is 2.0 the regulation term lambda/alpha is 6.45233959674209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32309857662652264 the lambda is 2.0 the regulation term lambda/alpha is 6.190061314667591 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34406780906273526 the lambda is 2.0 the regulation term lambda/alpha is 5.8128076713951815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31096398170807327 the lambda is 2.0 the regulation term lambda/alpha is 6.431613040887673 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32046397278000655 the lambda is 2.0 the regulation term lambda/alpha is 6.240951151700814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2895654450598028 the lambda is 2.0 the regulation term lambda/alpha is 6.906901476406993 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3439052771377987 the lambda is 2.0 the regulation term lambda/alpha is 5.815554843023313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29052922207349974 the lambda is 2.0 the regulation term lambda/alpha is 6.883989106934065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.331188213603097 the lambda is 2.0 the regulation term lambda/alpha is 6.038862247666948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3315155272537806 the lambda is 2.0 the regulation term lambda/alpha is 6.032899926491127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31333442232157 the lambda is 2.0 the regulation term lambda/alpha is 6.382956539474724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28652517083118473 the lambda is 2.0 the regulation term lambda/alpha is 6.9801895386648685 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114702517251847 the lambda is 2.0 the regulation term lambda/alpha is 6.421158967581381 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37536068159705843 the lambda is 2.0 the regulation term lambda/alpha is 5.328208568597381 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.286532174649917 the lambda is 2.0 the regulation term lambda/alpha is 6.9800189191443724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29279139394528736 the lambda is 2.0 the regulation term lambda/alpha is 6.830801865623589 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28256659628578845 the lambda is 2.0 the regulation term lambda/alpha is 7.077977461912008 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30163888646091264 the lambda is 2.0 the regulation term lambda/alpha is 6.630444845708468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3278917855784842 the lambda is 2.0 the regulation term lambda/alpha is 6.099573359154128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32881995833941513 the lambda is 2.0 the regulation term lambda/alpha is 6.082355858507702 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2758299797565988 the lambda is 2.0 the regulation term lambda/alpha is 7.250843442633988 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3394905853924732 the lambda is 2.0 the regulation term lambda/alpha is 5.8911795674329825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31297846107939303 the lambda is 2.0 the regulation term lambda/alpha is 6.3902160969877775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2712545936288314 the lambda is 2.0 the regulation term lambda/alpha is 7.373147024882021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3160255134505393 the lambda is 2.0 the regulation term lambda/alpha is 6.328602960447423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3144130301959348 the lambda is 2.0 the regulation term lambda/alpha is 6.361059523371684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3396403703740182 the lambda is 2.0 the regulation term lambda/alpha is 5.888581495178454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30486327979948236 the lambda is 2.0 the regulation term lambda/alpha is 6.5603177966052835 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3512336910903382 the lambda is 2.0 the regulation term lambda/alpha is 5.694214566351481 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29624344841768846 the lambda is 2.0 the regulation term lambda/alpha is 6.751204155509626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3143168611893079 the lambda is 2.0 the regulation term lambda/alpha is 6.363005765686342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34358002193027665 the lambda is 2.0 the regulation term lambda/alpha is 5.821060225689909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30609925569400886 the lambda is 2.0 the regulation term lambda/alpha is 6.533828367094409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32131793107982193 the lambda is 2.0 the regulation term lambda/alpha is 6.224364738310104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3293034659968456 the lambda is 2.0 the regulation term lambda/alpha is 6.073425294646483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29792119924650323 the lambda is 2.0 the regulation term lambda/alpha is 6.713184577191428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33637546020929837 the lambda is 2.0 the regulation term lambda/alpha is 5.945736941558005 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30638938301672547 the lambda is 2.0 the regulation term lambda/alpha is 6.527641331131967 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3138383844165102 the lambda is 2.0 the regulation term lambda/alpha is 6.372706779377575 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35512517709903146 the lambda is 2.0 the regulation term lambda/alpha is 5.6318169732085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27745247994888067 the lambda is 2.0 the regulation term lambda/alpha is 7.208441605454349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31733089730150116 the lambda is 2.0 the regulation term lambda/alpha is 6.3025693905241384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3243479998694051 the lambda is 2.0 the regulation term lambda/alpha is 6.166216535342523 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3283112695889819 the lambda is 2.0 the regulation term lambda/alpha is 6.09177992124313 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3207684003936967 the lambda is 2.0 the regulation term lambda/alpha is 6.235028131029397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31121603397680075 the lambda is 2.0 the regulation term lambda/alpha is 6.426404110493509 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3108985323361678 the lambda is 2.0 the regulation term lambda/alpha is 6.432967003644274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3262276221812221 the lambda is 2.0 the regulation term lambda/alpha is 6.1306887093974645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3065228202407794 the lambda is 2.0 the regulation term lambda/alpha is 6.5247996818930565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3228684935680501 the lambda is 2.0 the regulation term lambda/alpha is 6.1944724859889915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2619737329687193 the lambda is 2.0 the regulation term lambda/alpha is 7.634353174784924 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2857976173581902 the lambda is 2.0 the regulation term lambda/alpha is 6.997958970012684 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3236723667188553 the lambda is 2.0 the regulation term lambda/alpha is 6.179087885303529 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31073538730248973 the lambda is 2.0 the regulation term lambda/alpha is 6.43634449671827 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3136027727093992 the lambda is 2.0 the regulation term lambda/alpha is 6.377494633484332 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29840835550684097 the lambda is 2.0 the regulation term lambda/alpha is 6.7022251994353095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2938283302577256 the lambda is 2.0 the regulation term lambda/alpha is 6.806695590740826 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.316026469535002 the lambda is 2.0 the regulation term lambda/alpha is 6.328583814332953 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2896411305244809 the lambda is 2.0 the regulation term lambda/alpha is 6.905096649700298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3047271463371776 the lambda is 2.0 the regulation term lambda/alpha is 6.563248545592389 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2896424869940154 the lambda is 2.0 the regulation term lambda/alpha is 6.905064311374057 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3372702480058854 the lambda is 2.0 the regulation term lambda/alpha is 5.929962728183186 940 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36024912440831447 the lambda is 2.0 the regulation term lambda/alpha is 5.551713701691486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3241572600980566 the lambda is 2.0 the regulation term lambda/alpha is 6.169844844428305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3146298222546663 the lambda is 2.0 the regulation term lambda/alpha is 6.356676508500739 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3043542268088738 the lambda is 2.0 the regulation term lambda/alpha is 6.571290370992434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2883206681113405 the lambda is 2.0 the regulation term lambda/alpha is 6.936720884774248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3750047021945223 the lambda is 2.0 the regulation term lambda/alpha is 5.33326645851646 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3257414604082996 the lambda is 2.0 the regulation term lambda/alpha is 6.139838623837157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008292391008667 the lambda is 2.0 the regulation term lambda/alpha is 6.648289926796009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3152307487446603 the lambda is 2.0 the regulation term lambda/alpha is 6.344558733450263 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34340255635904304 the lambda is 2.0 the regulation term lambda/alpha is 5.824068467064377 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28484053687750854 the lambda is 2.0 the regulation term lambda/alpha is 7.021472512039501 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28264981941271206 the lambda is 2.0 the regulation term lambda/alpha is 7.075893429387596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3370863586914346 the lambda is 2.0 the regulation term lambda/alpha is 5.933197676002011 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34485292888973434 the lambda is 2.0 the regulation term lambda/alpha is 5.799573767400114 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3427905759958129 the lambda is 2.0 the regulation term lambda/alpha is 5.834466114448927 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3267707950441854 the lambda is 2.0 the regulation term lambda/alpha is 6.120498007569996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3042723840084557 the lambda is 2.0 the regulation term lambda/alpha is 6.573057908352341 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30797284413448356 the lambda is 2.0 the regulation term lambda/alpha is 6.494079066031722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3177876007807742 the lambda is 2.0 the regulation term lambda/alpha is 6.293511751516385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3048944596485353 the lambda is 2.0 the regulation term lambda/alpha is 6.559646909640419 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37063928150425374 the lambda is 2.0 the regulation term lambda/alpha is 5.396082120283968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199956196070252 the lambda is 2.0 the regulation term lambda/alpha is 6.250085555721438 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36501918452687726 the lambda is 2.0 the regulation term lambda/alpha is 5.479164068026499 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3617092951666265 the lambda is 2.0 the regulation term lambda/alpha is 5.529302195783141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.319633727717912 the lambda is 2.0 the regulation term lambda/alpha is 6.257161953087349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3201542085609946 the lambda is 2.0 the regulation term lambda/alpha is 6.246989564777087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33892485061187394 the lambda is 2.0 the regulation term lambda/alpha is 5.901013149048598 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3097139121511443 the lambda is 2.0 the regulation term lambda/alpha is 6.4575723644728455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32891895474419497 the lambda is 2.0 the regulation term lambda/alpha is 6.080525221039417 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30893991352942884 the lambda is 2.0 the regulation term lambda/alpha is 6.473750759982281 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31549844655082 the lambda is 2.0 the regulation term lambda/alpha is 6.339175428167578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3076847531966692 the lambda is 2.0 the regulation term lambda/alpha is 6.500159592638699 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34047237272692715 the lambda is 2.0 the regulation term lambda/alpha is 5.874191741260846 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31771498701173534 the lambda is 2.0 the regulation term lambda/alpha is 6.294950133800666 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3110981845172616 the lambda is 2.0 the regulation term lambda/alpha is 6.428838545308283 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3402958514896885 the lambda is 2.0 the regulation term lambda/alpha is 5.877238853323497 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29777759064609904 the lambda is 2.0 the regulation term lambda/alpha is 6.716422131230648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30309525834867934 the lambda is 2.0 the regulation term lambda/alpha is 6.598585576351081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3313202773916503 the lambda is 2.0 the regulation term lambda/alpha is 6.03645516581474 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3148724397347315 the lambda is 2.0 the regulation term lambda/alpha is 6.351778522391248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3315459031192083 the lambda is 2.0 the regulation term lambda/alpha is 6.032347198936415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34166681054840764 the lambda is 2.0 the regulation term lambda/alpha is 5.8536560715095804 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3035793632379289 the lambda is 2.0 the regulation term lambda/alpha is 6.588063097136512 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3470113221681735 the lambda is 2.0 the regulation term lambda/alpha is 5.763500705117432 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3017683671939602 the lambda is 2.0 the regulation term lambda/alpha is 6.627599899211799 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2970709915821799 the lambda is 2.0 the regulation term lambda/alpha is 6.7323974964641815 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33784128392017027 the lambda is 2.0 the regulation term lambda/alpha is 5.919939614226032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3498014452877283 the lambda is 2.0 the regulation term lambda/alpha is 5.717529263936875 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2915507271278988 the lambda is 2.0 the regulation term lambda/alpha is 6.859869703300828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32856972388655803 the lambda is 2.0 the regulation term lambda/alpha is 6.08698810207638 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34504479825817885 the lambda is 2.0 the regulation term lambda/alpha is 5.796348793247146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2886563284758563 the lambda is 2.0 the regulation term lambda/alpha is 6.9286546065359635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28304697613185004 the lambda is 2.0 the regulation term lambda/alpha is 7.065964905657046 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.344269103032363 the lambda is 2.0 the regulation term lambda/alpha is 5.809408925703071 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27646440520258786 the lambda is 2.0 the regulation term lambda/alpha is 7.234204340100991 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29231359277165997 the lambda is 2.0 the regulation term lambda/alpha is 6.841967152592507 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30261100724844214 the lambda is 2.0 the regulation term lambda/alpha is 6.609144915730081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32487412947937994 the lambda is 2.0 the regulation term lambda/alpha is 6.156230424395618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32020089903910054 the lambda is 2.0 the regulation term lambda/alpha is 6.246078652501769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2497787928015359 the lambda is 2.0 the regulation term lambda/alpha is 8.00708489927373 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31857774435085334 the lambda is 2.0 the regulation term lambda/alpha is 6.277902444426178 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2975645838600264 the lambda is 2.0 the regulation term lambda/alpha is 6.72122997319061 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2973041724972858 the lambda is 2.0 the regulation term lambda/alpha is 6.72711715816319 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3056288879882366 the lambda is 2.0 the regulation term lambda/alpha is 6.543884032575409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30982822382099795 the lambda is 2.0 the regulation term lambda/alpha is 6.455189831754941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2956477358012699 the lambda is 2.0 the regulation term lambda/alpha is 6.7648074306389105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31771926968458647 the lambda is 2.0 the regulation term lambda/alpha is 6.2948652814967305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35807518843107655 the lambda is 2.0 the regulation term lambda/alpha is 5.585419109218639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28809591522505923 the lambda is 2.0 the regulation term lambda/alpha is 6.94213244376481 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35875848226269896 the lambda is 2.0 the regulation term lambda/alpha is 5.574781082208701 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29216017769324387 the lambda is 2.0 the regulation term lambda/alpha is 6.845559910974306 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33533850009865535 the lambda is 2.0 the regulation term lambda/alpha is 5.964122817426593 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31910220635904263 the lambda is 2.0 the regulation term lambda/alpha is 6.267584366839727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3740517349906581 the lambda is 2.0 the regulation term lambda/alpha is 5.346853958717635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34462328645291407 the lambda is 2.0 the regulation term lambda/alpha is 5.80343835898408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3560174817046351 the lambda is 2.0 the regulation term lambda/alpha is 5.61770166572683 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35860254248110746 the lambda is 2.0 the regulation term lambda/alpha is 5.577205298552415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3415415040954475 the lambda is 2.0 the regulation term lambda/alpha is 5.8558036900870425 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2841068721336495 the lambda is 2.0 the regulation term lambda/alpha is 7.039604445256645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33163946880043726 the lambda is 2.0 the regulation term lambda/alpha is 6.03064528849397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3035948222870307 the lambda is 2.0 the regulation term lambda/alpha is 6.58772763294731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3658418817642215 the lambda is 2.0 the regulation term lambda/alpha is 5.466842643481054 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36558718903729537 the lambda is 2.0 the regulation term lambda/alpha is 5.470651215286349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32752057010031776 the lambda is 2.0 the regulation term lambda/alpha is 6.106486683836105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2867572365020296 the lambda is 2.0 the regulation term lambda/alpha is 6.9745406407061825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3222446169336751 the lambda is 2.0 the regulation term lambda/alpha is 6.206465197249961 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3409635922491653 the lambda is 2.0 the regulation term lambda/alpha is 5.865728909080897 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.311724546387029 the lambda is 2.0 the regulation term lambda/alpha is 6.415920796679426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32386183208141756 the lambda is 2.0 the regulation term lambda/alpha is 6.1754730007740095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3344434778742036 the lambda is 2.0 the regulation term lambda/alpha is 5.980083728085955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3368407003794399 the lambda is 2.0 the regulation term lambda/alpha is 5.937524763922727 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.311590586628185 the lambda is 2.0 the regulation term lambda/alpha is 6.418679144458754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29256428423275244 the lambda is 2.0 the regulation term lambda/alpha is 6.836104431697753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2837801136241578 the lambda is 2.0 the regulation term lambda/alpha is 7.047710195256412 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3981326836183933 the lambda is 2.0 the regulation term lambda/alpha is 5.023450930536972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3236398010716244 the lambda is 2.0 the regulation term lambda/alpha is 6.179709644418494 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35863148694571245 the lambda is 2.0 the regulation term lambda/alpha is 5.5767551729297775 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33045624431767795 the lambda is 2.0 the regulation term lambda/alpha is 6.0522384866098555 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33728121076160894 the lambda is 2.0 the regulation term lambda/alpha is 5.929769984766819 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3383958952440744 the lambda is 2.0 the regulation term lambda/alpha is 5.910237175180457 950 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27355947353794124 the lambda is 2.0 the regulation term lambda/alpha is 7.311024451590088 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27820097917920805 the lambda is 2.0 the regulation term lambda/alpha is 7.189047306377972 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2898616612434121 the lambda is 2.0 the regulation term lambda/alpha is 6.899843157665803 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3442940862569502 the lambda is 2.0 the regulation term lambda/alpha is 5.8089873739724345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.304662958542286 the lambda is 2.0 the regulation term lambda/alpha is 6.564631321015706 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3611474229826028 the lambda is 2.0 the regulation term lambda/alpha is 5.537904669186423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2778393658101588 the lambda is 2.0 the regulation term lambda/alpha is 7.1984039920626435 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27081226535485875 the lambda is 2.0 the regulation term lambda/alpha is 7.385189874540212 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31147821445907775 the lambda is 2.0 the regulation term lambda/alpha is 6.420994814912686 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3260096147124881 the lambda is 2.0 the regulation term lambda/alpha is 6.134788391943055 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3556731370354865 the lambda is 2.0 the regulation term lambda/alpha is 5.623140439196156 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3545671430411917 the lambda is 2.0 the regulation term lambda/alpha is 5.6406805854756 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2803193740604354 the lambda is 2.0 the regulation term lambda/alpha is 7.134719127793181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31999590512368015 the lambda is 2.0 the regulation term lambda/alpha is 6.250079979076573 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30681425351028496 the lambda is 2.0 the regulation term lambda/alpha is 6.518601978616865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.289154522407161 the lambda is 2.0 the regulation term lambda/alpha is 6.9167169973699485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.298409440241981 the lambda is 2.0 the regulation term lambda/alpha is 6.702200836468828 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33995393334610374 the lambda is 2.0 the regulation term lambda/alpha is 5.883150050109347 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32780073412270894 the lambda is 2.0 the regulation term lambda/alpha is 6.1012676050057895 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33783338105460403 the lambda is 2.0 the regulation term lambda/alpha is 5.92007809813424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.350313647810933 the lambda is 2.0 the regulation term lambda/alpha is 5.709169518509355 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168727996163314 the lambda is 2.0 the regulation term lambda/alpha is 6.311680909253157 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.321660853829061 the lambda is 2.0 the regulation term lambda/alpha is 6.217728940876506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29747454360563425 the lambda is 2.0 the regulation term lambda/alpha is 6.723264369980597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3126988612912151 the lambda is 2.0 the regulation term lambda/alpha is 6.3959299107821455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.305289004611809 the lambda is 2.0 the regulation term lambda/alpha is 6.551169448579076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.299159859370183 the lambda is 2.0 the regulation term lambda/alpha is 6.685388889440486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27457576273640616 the lambda is 2.0 the regulation term lambda/alpha is 7.283964105455324 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35248826226712043 the lambda is 2.0 the regulation term lambda/alpha is 5.673947799386218 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3476512386499076 the lambda is 2.0 the regulation term lambda/alpha is 5.752891914802133 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31062359142490525 the lambda is 2.0 the regulation term lambda/alpha is 6.438660987806876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3122933216844326 the lambda is 2.0 the regulation term lambda/alpha is 6.404235573186442 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33615898844068304 the lambda is 2.0 the regulation term lambda/alpha is 5.94956573756144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35592348289703857 the lambda is 2.0 the regulation term lambda/alpha is 5.619185291515478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2945364118752111 the lambda is 2.0 the regulation term lambda/alpha is 6.790331922856987 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30634868090640194 the lambda is 2.0 the regulation term lambda/alpha is 6.528508606867661 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34485048249412725 the lambda is 2.0 the regulation term lambda/alpha is 5.799614910018459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33792931751260197 the lambda is 2.0 the regulation term lambda/alpha is 5.918397417310254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26813152529168105 the lambda is 2.0 the regulation term lambda/alpha is 7.459025930741801 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27726449301999595 the lambda is 2.0 the regulation term lambda/alpha is 7.213328970528378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2662337861108285 the lambda is 2.0 the regulation term lambda/alpha is 7.512194561089384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33864806057271046 the lambda is 2.0 the regulation term lambda/alpha is 5.905836273261586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3510492041056773 the lambda is 2.0 the regulation term lambda/alpha is 5.697207048496639 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3317812033808073 the lambda is 2.0 the regulation term lambda/alpha is 6.028069039536478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.362376892987291 the lambda is 2.0 the regulation term lambda/alpha is 5.519115701646414 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.347850209833627 the lambda is 2.0 the regulation term lambda/alpha is 5.749601246342724 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2909334765204136 the lambda is 2.0 the regulation term lambda/alpha is 6.8744237477245695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2939135814366307 the lambda is 2.0 the regulation term lambda/alpha is 6.80472127291338 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.300649029269063 the lambda is 2.0 the regulation term lambda/alpha is 6.652274929549561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168395825681461 the lambda is 2.0 the regulation term lambda/alpha is 6.312342617639444 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34010110369744784 the lambda is 2.0 the regulation term lambda/alpha is 5.880604262252525 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2960253246071388 the lambda is 2.0 the regulation term lambda/alpha is 6.756178724419069 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26409260351797964 the lambda is 2.0 the regulation term lambda/alpha is 7.573101152239723 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2704038033275396 the lambda is 2.0 the regulation term lambda/alpha is 7.396345670395042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34687948866304535 the lambda is 2.0 the regulation term lambda/alpha is 5.76569115605096 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3112895897438817 the lambda is 2.0 the regulation term lambda/alpha is 6.424885591726761 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2902088506701789 the lambda is 2.0 the regulation term lambda/alpha is 6.8915885762319204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34853042886700647 the lambda is 2.0 the regulation term lambda/alpha is 5.738379878341031 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37179224363987284 the lambda is 2.0 the regulation term lambda/alpha is 5.379348370530423 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31991107458131995 the lambda is 2.0 the regulation term lambda/alpha is 6.251737307367298 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3342163441028333 the lambda is 2.0 the regulation term lambda/alpha is 5.984147799141236 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3394876372463474 the lambda is 2.0 the regulation term lambda/alpha is 5.891230727052104 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3148041942802606 the lambda is 2.0 the regulation term lambda/alpha is 6.353155505353468 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3600606874572397 the lambda is 2.0 the regulation term lambda/alpha is 5.554619178572549 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028241431225132 the lambda is 2.0 the regulation term lambda/alpha is 6.604493219653436 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28794743041052906 the lambda is 2.0 the regulation term lambda/alpha is 6.945712268203204 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32286151094710575 the lambda is 2.0 the regulation term lambda/alpha is 6.194606455669035 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32102617802425687 the lambda is 2.0 the regulation term lambda/alpha is 6.2300215275555475 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34554183128286753 the lambda is 2.0 the regulation term lambda/alpha is 5.788011230289393 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2963705272303047 the lambda is 2.0 the regulation term lambda/alpha is 6.748309350092131 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37910512668809276 the lambda is 2.0 the regulation term lambda/alpha is 5.275581518699672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36542350777265664 the lambda is 2.0 the regulation term lambda/alpha is 5.473101640861795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3016012863647147 the lambda is 2.0 the regulation term lambda/alpha is 6.631271451480076 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149596955736928 the lambda is 2.0 the regulation term lambda/alpha is 6.350018837670769 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31179382409800066 the lambda is 2.0 the regulation term lambda/alpha is 6.414495238274428 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3058910369301732 the lambda is 2.0 the regulation term lambda/alpha is 6.53827591704345 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3167754762155735 the lambda is 2.0 the regulation term lambda/alpha is 6.313620056367466 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31225975115024457 the lambda is 2.0 the regulation term lambda/alpha is 6.4049240820591535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30109726399386616 the lambda is 2.0 the regulation term lambda/alpha is 6.6423718816679225 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3517025316927697 the lambda is 2.0 the regulation term lambda/alpha is 5.686623836268267 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3062762812842398 the lambda is 2.0 the regulation term lambda/alpha is 6.530051859105274 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3218972261415682 the lambda is 2.0 the regulation term lambda/alpha is 6.213163201103242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3042658439721546 the lambda is 2.0 the regulation term lambda/alpha is 6.573199192818479 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3254739154236978 the lambda is 2.0 the regulation term lambda/alpha is 6.14488567354599 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30289956020087305 the lambda is 2.0 the regulation term lambda/alpha is 6.602848807946983 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31822944799027336 the lambda is 2.0 the regulation term lambda/alpha is 6.284773494818524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.341001580273659 the lambda is 2.0 the regulation term lambda/alpha is 5.865075459166404 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30393977682641743 the lambda is 2.0 the regulation term lambda/alpha is 6.580250932875485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30848239210428596 the lambda is 2.0 the regulation term lambda/alpha is 6.483352214553229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33611242502684363 the lambda is 2.0 the regulation term lambda/alpha is 5.95038996204996 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35954865226126514 the lambda is 2.0 the regulation term lambda/alpha is 5.562529542029002 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3123375733361123 the lambda is 2.0 the regulation term lambda/alpha is 6.403328227973913 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31086618947196853 the lambda is 2.0 the regulation term lambda/alpha is 6.433636296688174 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2986057344881092 the lambda is 2.0 the regulation term lambda/alpha is 6.697795015318577 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28568363418113485 the lambda is 2.0 the regulation term lambda/alpha is 7.000751043134379 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30081970044662276 the lambda is 2.0 the regulation term lambda/alpha is 6.648500736589486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31152714419654937 the lambda is 2.0 the regulation term lambda/alpha is 6.419986306997877 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.296774790931923 the lambda is 2.0 the regulation term lambda/alpha is 6.739116869460718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2824767518370204 the lambda is 2.0 the regulation term lambda/alpha is 7.080228680744434 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26965445388063125 the lambda is 2.0 the regulation term lambda/alpha is 7.416899558741744 960 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36224734908928324 the lambda is 2.0 the regulation term lambda/alpha is 5.521089402111978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.332813275618474 the lambda is 2.0 the regulation term lambda/alpha is 6.009375666530602 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27931658954079114 the lambda is 2.0 the regulation term lambda/alpha is 7.160333739174206 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31418116455526485 the lambda is 2.0 the regulation term lambda/alpha is 6.36575398411001 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33291862168104486 the lambda is 2.0 the regulation term lambda/alpha is 6.0074741085409 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3296520892647641 the lambda is 2.0 the regulation term lambda/alpha is 6.0670023492363665 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3388517979023213 the lambda is 2.0 the regulation term lambda/alpha is 5.902285342385959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3245092278213677 the lambda is 2.0 the regulation term lambda/alpha is 6.1631529353641 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30541432410435115 the lambda is 2.0 the regulation term lambda/alpha is 6.5484813322529645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3187676697305449 the lambda is 2.0 the regulation term lambda/alpha is 6.274161999209659 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3078826470028072 the lambda is 2.0 the regulation term lambda/alpha is 6.4959815678788955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3025754626007226 the lambda is 2.0 the regulation term lambda/alpha is 6.609921316188128 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3024296058825901 the lambda is 2.0 the regulation term lambda/alpha is 6.6131091701929625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3309716142985829 the lambda is 2.0 the regulation term lambda/alpha is 6.04281428858645 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.320654167770103 the lambda is 2.0 the regulation term lambda/alpha is 6.237249351562848 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2858137750725035 the lambda is 2.0 the regulation term lambda/alpha is 6.9975633591930695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3093674599871871 the lambda is 2.0 the regulation term lambda/alpha is 6.4648040232894335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27952370696506973 the lambda is 2.0 the regulation term lambda/alpha is 7.155028178879751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31105778175193405 the lambda is 2.0 the regulation term lambda/alpha is 6.429673576194223 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.333012331380023 the lambda is 2.0 the regulation term lambda/alpha is 6.005783604804905 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2989275393667107 the lambda is 2.0 the regulation term lambda/alpha is 6.69058462876012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.290274475306008 the lambda is 2.0 the regulation term lambda/alpha is 6.890030540548203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199301051468648 the lambda is 2.0 the regulation term lambda/alpha is 6.251365432089907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35658101426784033 the lambda is 2.0 the regulation term lambda/alpha is 5.608823577179381 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31923973668743333 the lambda is 2.0 the regulation term lambda/alpha is 6.264884255177149 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996227336628198 the lambda is 2.0 the regulation term lambda/alpha is 6.675060919278237 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2991384103313913 the lambda is 2.0 the regulation term lambda/alpha is 6.685868250033024 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3088795619124415 the lambda is 2.0 the regulation term lambda/alpha is 6.475015658585215 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3249830254872052 the lambda is 2.0 the regulation term lambda/alpha is 6.154167581527243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3193849375349943 the lambda is 2.0 the regulation term lambda/alpha is 6.262036072946817 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29629989881055213 the lambda is 2.0 the regulation term lambda/alpha is 6.749917931219941 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199462471126343 the lambda is 2.0 the regulation term lambda/alpha is 6.251050037464316 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028136635527828 the lambda is 2.0 the regulation term lambda/alpha is 6.604721783471915 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30129760761080177 the lambda is 2.0 the regulation term lambda/alpha is 6.637955129678562 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3246001901628492 the lambda is 2.0 the regulation term lambda/alpha is 6.16142584203853 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28942925237234113 the lambda is 2.0 the regulation term lambda/alpha is 6.910151560724299 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33529039887114753 the lambda is 2.0 the regulation term lambda/alpha is 5.964978438790912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3290633645288317 the lambda is 2.0 the regulation term lambda/alpha is 6.077856776501672 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3164044568834436 the lambda is 2.0 the regulation term lambda/alpha is 6.321023476406832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35338035156092557 the lambda is 2.0 the regulation term lambda/alpha is 5.659624229716643 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2916527084756323 the lambda is 2.0 the regulation term lambda/alpha is 6.857471032768073 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31671962294946737 the lambda is 2.0 the regulation term lambda/alpha is 6.314733458492087 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3126217434271195 the lambda is 2.0 the regulation term lambda/alpha is 6.397507665573663 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3185600471830702 the lambda is 2.0 the regulation term lambda/alpha is 6.278251204711303 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3123431980719625 the lambda is 2.0 the regulation term lambda/alpha is 6.403212915618572 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31913974923685123 the lambda is 2.0 the regulation term lambda/alpha is 6.266847062399894 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2866338554998307 the lambda is 2.0 the regulation term lambda/alpha is 6.9775428185634585 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34731630450538403 the lambda is 2.0 the regulation term lambda/alpha is 5.758439710592384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30942491177660675 the lambda is 2.0 the regulation term lambda/alpha is 6.463603685032075 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3325865950231803 the lambda is 2.0 the regulation term lambda/alpha is 6.013471468567776 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34261379749274246 the lambda is 2.0 the regulation term lambda/alpha is 5.8374765249854415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3149561669265653 the lambda is 2.0 the regulation term lambda/alpha is 6.350089980826814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3093454873426469 the lambda is 2.0 the regulation term lambda/alpha is 6.4652632148620865 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33989278888047275 the lambda is 2.0 the regulation term lambda/alpha is 5.884208389908864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3150827878488794 the lambda is 2.0 the regulation term lambda/alpha is 6.347538098333838 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32887804925052844 the lambda is 2.0 the regulation term lambda/alpha is 6.081281510145622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30813688971750136 the lambda is 2.0 the regulation term lambda/alpha is 6.490621755264654 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26082105927347965 the lambda is 2.0 the regulation term lambda/alpha is 7.668092467575376 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33152395960315867 the lambda is 2.0 the regulation term lambda/alpha is 6.032746478999718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33273667664728346 the lambda is 2.0 the regulation term lambda/alpha is 6.010759078777763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30732636474750447 the lambda is 2.0 the regulation term lambda/alpha is 6.507739749706066 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3187540326703215 the lambda is 2.0 the regulation term lambda/alpha is 6.2744304228726255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31808439536538524 the lambda is 2.0 the regulation term lambda/alpha is 6.287639472859363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3067237504080581 the lambda is 2.0 the regulation term lambda/alpha is 6.5205253826586524 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31441699756445934 the lambda is 2.0 the regulation term lambda/alpha is 6.360979258412947 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.329313924592565 the lambda is 2.0 the regulation term lambda/alpha is 6.073232410304081 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2737603135221237 the lambda is 2.0 the regulation term lambda/alpha is 7.305660832531052 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3469863231666036 the lambda is 2.0 the regulation term lambda/alpha is 5.76391594270334 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2995821974486943 the lambda is 2.0 the regulation term lambda/alpha is 6.67596411613382 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3213011935735568 the lambda is 2.0 the regulation term lambda/alpha is 6.224688983429288 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3581628874375159 the lambda is 2.0 the regulation term lambda/alpha is 5.5840514753190735 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3246740543732564 the lambda is 2.0 the regulation term lambda/alpha is 6.160024101281378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3249646374617561 the lambda is 2.0 the regulation term lambda/alpha is 6.154515813233287 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2823358761682416 the lambda is 2.0 the regulation term lambda/alpha is 7.08376146575229 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30901565139954285 the lambda is 2.0 the regulation term lambda/alpha is 6.472164082763864 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2876366815085247 the lambda is 2.0 the regulation term lambda/alpha is 6.953216083257885 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34153937396312967 the lambda is 2.0 the regulation term lambda/alpha is 5.855840211898692 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28123089067123597 the lambda is 2.0 the regulation term lambda/alpha is 7.111594303266053 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30674922811300953 the lambda is 2.0 the regulation term lambda/alpha is 6.519983806652578 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32005799264992646 the lambda is 2.0 the regulation term lambda/alpha is 6.2488675362891595 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31897341162888426 the lambda is 2.0 the regulation term lambda/alpha is 6.270115085099753 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3334876802229847 the lambda is 2.0 the regulation term lambda/alpha is 5.997223041830844 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28058809226581677 the lambda is 2.0 the regulation term lambda/alpha is 7.127886232981292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.304555041925812 the lambda is 2.0 the regulation term lambda/alpha is 6.566957445042691 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3232412814245587 the lambda is 2.0 the regulation term lambda/alpha is 6.187328521857689 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33741965351454567 the lambda is 2.0 the regulation term lambda/alpha is 5.927337009472043 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3058643085826312 the lambda is 2.0 the regulation term lambda/alpha is 6.5388472727267795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30753523141168204 the lambda is 2.0 the regulation term lambda/alpha is 6.503319931246186 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3085440265556819 the lambda is 2.0 the regulation term lambda/alpha is 6.482057106489036 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32079113056184866 the lambda is 2.0 the regulation term lambda/alpha is 6.234586338148146 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32681439265743645 the lambda is 2.0 the regulation term lambda/alpha is 6.119681522399718 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35300306596633596 the lambda is 2.0 the regulation term lambda/alpha is 5.665673170642459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3307993964849041 the lambda is 2.0 the regulation term lambda/alpha is 6.0459602443418285 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2804267512769987 the lambda is 2.0 the regulation term lambda/alpha is 7.131987197699441 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30193294198035975 the lambda is 2.0 the regulation term lambda/alpha is 6.623987388994795 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33057250202120614 the lambda is 2.0 the regulation term lambda/alpha is 6.050109999384342 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.303915099786527 the lambda is 2.0 the regulation term lambda/alpha is 6.580785230496346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31726192141103565 the lambda is 2.0 the regulation term lambda/alpha is 6.303939631661173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32694182932395766 the lambda is 2.0 the regulation term lambda/alpha is 6.117296168971561 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3321070055072093 the lambda is 2.0 the regulation term lambda/alpha is 6.022155410258531 970 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.324000373943861 the lambda is 2.0 the regulation term lambda/alpha is 6.172832381812426 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31728003255186915 the lambda is 2.0 the regulation term lambda/alpha is 6.303579786960085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29189826718513084 the lambda is 2.0 the regulation term lambda/alpha is 6.851702201889189 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32027326568583675 the lambda is 2.0 the regulation term lambda/alpha is 6.2446673334322105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3074473692769289 the lambda is 2.0 the regulation term lambda/alpha is 6.5051784463262985 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2910517570910874 the lambda is 2.0 the regulation term lambda/alpha is 6.871630049545041 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3096737021835473 the lambda is 2.0 the regulation term lambda/alpha is 6.458410856000217 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3226416443793293 the lambda is 2.0 the regulation term lambda/alpha is 6.198827816686314 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3164097025239587 the lambda is 2.0 the regulation term lambda/alpha is 6.320918682474849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2904259018683592 the lambda is 2.0 the regulation term lambda/alpha is 6.886438114278582 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2713428699178319 the lambda is 2.0 the regulation term lambda/alpha is 7.370748310451792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3058587808235791 the lambda is 2.0 the regulation term lambda/alpha is 6.5389654487428635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30341458567938484 the lambda is 2.0 the regulation term lambda/alpha is 6.59164092432056 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29671137637509976 the lambda is 2.0 the regulation term lambda/alpha is 6.7405571853491 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3916165222642851 the lambda is 2.0 the regulation term lambda/alpha is 5.107036823768856 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3352319898281706 the lambda is 2.0 the regulation term lambda/alpha is 5.966017744980535 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3286339260563057 the lambda is 2.0 the regulation term lambda/alpha is 6.085798943525188 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3044636065782667 the lambda is 2.0 the regulation term lambda/alpha is 6.568929608622604 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28276932453903003 the lambda is 2.0 the regulation term lambda/alpha is 7.072902986419747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30313151322760923 the lambda is 2.0 the regulation term lambda/alpha is 6.5977963778984625 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33237022576292435 the lambda is 2.0 the regulation term lambda/alpha is 6.01738617052472 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3512933218731746 the lambda is 2.0 the regulation term lambda/alpha is 5.693247993829067 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27215107862997817 the lambda is 2.0 the regulation term lambda/alpha is 7.348859354400129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32924762844558636 the lambda is 2.0 the regulation term lambda/alpha is 6.074455295068384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33301103977111246 the lambda is 2.0 the regulation term lambda/alpha is 6.005806898698176 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2768154701662719 the lambda is 2.0 the regulation term lambda/alpha is 7.225029723948162 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2959154898291799 the lambda is 2.0 the regulation term lambda/alpha is 6.758686411294384 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2825169847896475 the lambda is 2.0 the regulation term lambda/alpha is 7.079220392675264 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32373922774111086 the lambda is 2.0 the regulation term lambda/alpha is 6.1778117343239245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.332718157565503 the lambda is 2.0 the regulation term lambda/alpha is 6.011093637431721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3207254907322822 the lambda is 2.0 the regulation term lambda/alpha is 6.235862311516272 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28854738602633806 the lambda is 2.0 the regulation term lambda/alpha is 6.931270553313707 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3517760599473434 the lambda is 2.0 the regulation term lambda/alpha is 5.685435217789908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33645432364434547 the lambda is 2.0 the regulation term lambda/alpha is 5.944343286591653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3205237045203378 the lambda is 2.0 the regulation term lambda/alpha is 6.2397881086298765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32847969915096226 the lambda is 2.0 the regulation term lambda/alpha is 6.088656331485626 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34722342407633433 the lambda is 2.0 the regulation term lambda/alpha is 5.759980062751515 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3304510551391344 the lambda is 2.0 the regulation term lambda/alpha is 6.052333526845336 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2901333112201804 the lambda is 2.0 the regulation term lambda/alpha is 6.893382878335581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29899401962494815 the lambda is 2.0 the regulation term lambda/alpha is 6.689097001032858 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3277077853477185 the lambda is 2.0 the regulation term lambda/alpha is 6.102998126449375 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31672873846799365 the lambda is 2.0 the regulation term lambda/alpha is 6.314551719158588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34540014829499344 the lambda is 2.0 the regulation term lambda/alpha is 5.790385469932903 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3553522729172762 the lambda is 2.0 the regulation term lambda/alpha is 5.6282178346037695 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.332442736332796 the lambda is 2.0 the regulation term lambda/alpha is 6.016073691554129 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2793072201597336 the lambda is 2.0 the regulation term lambda/alpha is 7.160573933091367 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3340713375973239 the lambda is 2.0 the regulation term lambda/alpha is 5.986745269391292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3557368805759658 the lambda is 2.0 the regulation term lambda/alpha is 5.622132843695722 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3058275346932207 the lambda is 2.0 the regulation term lambda/alpha is 6.539633529094181 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31594276964491846 the lambda is 2.0 the regulation term lambda/alpha is 6.33026038939824 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32312006627042206 the lambda is 2.0 the regulation term lambda/alpha is 6.189649634220433 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3310800465864464 the lambda is 2.0 the regulation term lambda/alpha is 6.040835201700358 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.284818447827127 the lambda is 2.0 the regulation term lambda/alpha is 7.02201706124709 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33369923743001656 the lambda is 2.0 the regulation term lambda/alpha is 5.993420948165757 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29908246065234045 the lambda is 2.0 the regulation term lambda/alpha is 6.687118982630148 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35721224449469885 the lambda is 2.0 the regulation term lambda/alpha is 5.598912217662463 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2627197046783402 the lambda is 2.0 the regulation term lambda/alpha is 7.612676036038834 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34102144935215084 the lambda is 2.0 the regulation term lambda/alpha is 5.86473373976758 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.311947183743692 the lambda is 2.0 the regulation term lambda/alpha is 6.411341740604647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31276782314077034 the lambda is 2.0 the regulation term lambda/alpha is 6.394519678898814 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2952798681085681 the lambda is 2.0 the regulation term lambda/alpha is 6.77323521177083 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.290647364635162 the lambda is 2.0 the regulation term lambda/alpha is 6.881190897810203 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3168237601466918 the lambda is 2.0 the regulation term lambda/alpha is 6.312657860868721 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2967263446004194 the lambda is 2.0 the regulation term lambda/alpha is 6.740217161011638 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31140956935792935 the lambda is 2.0 the regulation term lambda/alpha is 6.422410217269948 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31262961755426655 the lambda is 2.0 the regulation term lambda/alpha is 6.397346533083476 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30739796381121515 the lambda is 2.0 the regulation term lambda/alpha is 6.506223968445922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2899542167657056 the lambda is 2.0 the regulation term lambda/alpha is 6.897640676893754 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2976591369385885 the lambda is 2.0 the regulation term lambda/alpha is 6.719094937148292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3028108934804793 the lambda is 2.0 the regulation term lambda/alpha is 6.604782202556164 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32340550638234583 the lambda is 2.0 the regulation term lambda/alpha is 6.184186603290242 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34807131207327824 the lambda is 2.0 the regulation term lambda/alpha is 5.745948978348859 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2966548382229135 the lambda is 2.0 the regulation term lambda/alpha is 6.741841838753873 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30912089268410786 the lambda is 2.0 the regulation term lambda/alpha is 6.469960611959703 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33488891764173456 the lambda is 2.0 the regulation term lambda/alpha is 5.972129546966997 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27332119693490214 the lambda is 2.0 the regulation term lambda/alpha is 7.317398073872576 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3507768691295635 the lambda is 2.0 the regulation term lambda/alpha is 5.701630227109635 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3058204439795937 the lambda is 2.0 the regulation term lambda/alpha is 6.539785156199214 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3072105221784813 the lambda is 2.0 the regulation term lambda/alpha is 6.51019368027392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3593717829340391 the lambda is 2.0 the regulation term lambda/alpha is 5.565267210662141 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3227925666531489 the lambda is 2.0 the regulation term lambda/alpha is 6.195929543040143 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3362615551991952 the lambda is 2.0 the regulation term lambda/alpha is 5.947750996438581 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29460072734498055 the lambda is 2.0 the regulation term lambda/alpha is 6.7888494981819205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28180230257338695 the lambda is 2.0 the regulation term lambda/alpha is 7.097174088842514 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31960857727213876 the lambda is 2.0 the regulation term lambda/alpha is 6.2576543379092415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.319640505086615 the lambda is 2.0 the regulation term lambda/alpha is 6.257029281874171 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2879371523967712 the lambda is 2.0 the regulation term lambda/alpha is 6.945960197744968 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3194024908206999 the lambda is 2.0 the regulation term lambda/alpha is 6.261691932523852 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3029964237278441 the lambda is 2.0 the regulation term lambda/alpha is 6.600737973714271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30762447353679395 the lambda is 2.0 the regulation term lambda/alpha is 6.501433312524748 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3191011038459317 the lambda is 2.0 the regulation term lambda/alpha is 6.267606021712916 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3218954698097495 the lambda is 2.0 the regulation term lambda/alpha is 6.213197101475408 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32094822746325447 the lambda is 2.0 the regulation term lambda/alpha is 6.231534649085984 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32153443729630593 the lambda is 2.0 the regulation term lambda/alpha is 6.220173542894647 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.277330979241264 the lambda is 2.0 the regulation term lambda/alpha is 7.2115996758519385 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31597221004835113 the lambda is 2.0 the regulation term lambda/alpha is 6.329670573541747 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3969500404257258 the lambda is 2.0 the regulation term lambda/alpha is 5.038417423651137 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32047765141260987 the lambda is 2.0 the regulation term lambda/alpha is 6.240684775316928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3228997825023386 the lambda is 2.0 the regulation term lambda/alpha is 6.19387224265323 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29172935348300105 the lambda is 2.0 the regulation term lambda/alpha is 6.855669393983486 980 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3184747516528351 the lambda is 2.0 the regulation term lambda/alpha is 6.279932677929119 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3282507066007413 the lambda is 2.0 the regulation term lambda/alpha is 6.092903868239483 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37406608176673944 the lambda is 2.0 the regulation term lambda/alpha is 5.346648887688144 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31936644991086244 the lambda is 2.0 the regulation term lambda/alpha is 6.262398572418032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3482873480711151 the lambda is 2.0 the regulation term lambda/alpha is 5.742384875811307 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30698298938374946 the lambda is 2.0 the regulation term lambda/alpha is 6.51501897227232 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30342809565331613 the lambda is 2.0 the regulation term lambda/alpha is 6.591347435028277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3279171306560082 the lambda is 2.0 the regulation term lambda/alpha is 6.0991019163864335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3138999525128054 the lambda is 2.0 the regulation term lambda/alpha is 6.37145684155021 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3204380977225012 the lambda is 2.0 the regulation term lambda/alpha is 6.241455102295596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3208853910094712 the lambda is 2.0 the regulation term lambda/alpha is 6.2327549213387785 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34878423391572055 the lambda is 2.0 the regulation term lambda/alpha is 5.734204145486907 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31476393956891346 the lambda is 2.0 the regulation term lambda/alpha is 6.353968001350822 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34131006975677164 the lambda is 2.0 the regulation term lambda/alpha is 5.859774372977813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3250004456027543 the lambda is 2.0 the regulation term lambda/alpha is 6.15383771640912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3014153337027839 the lambda is 2.0 the regulation term lambda/alpha is 6.635362492779271 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010143347417786 the lambda is 2.0 the regulation term lambda/alpha is 6.644201850771244 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28870303511818407 the lambda is 2.0 the regulation term lambda/alpha is 6.927533682426566 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3027015687000573 the lambda is 2.0 the regulation term lambda/alpha is 6.607167609302254 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32712893471842514 the lambda is 2.0 the regulation term lambda/alpha is 6.113797306623126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2729006765152941 the lambda is 2.0 the regulation term lambda/alpha is 7.328673660828813 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3172596562663587 the lambda is 2.0 the regulation term lambda/alpha is 6.303984640016374 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29977499691592724 the lambda is 2.0 the regulation term lambda/alpha is 6.671670488119147 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29244714136356187 the lambda is 2.0 the regulation term lambda/alpha is 6.83884270735154 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2746928381361814 the lambda is 2.0 the regulation term lambda/alpha is 7.280859645159305 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34590014291276294 the lambda is 2.0 the regulation term lambda/alpha is 5.782015535346009 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3314501094999943 the lambda is 2.0 the regulation term lambda/alpha is 6.0340906298600405 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33419673539297934 the lambda is 2.0 the regulation term lambda/alpha is 5.984498913935277 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3020422348917897 the lambda is 2.0 the regulation term lambda/alpha is 6.621590522651656 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.39056448466650423 the lambda is 2.0 the regulation term lambda/alpha is 5.120793309478108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3246072690434976 the lambda is 2.0 the regulation term lambda/alpha is 6.1612914765996765 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3684152860707028 the lambda is 2.0 the regulation term lambda/alpha is 5.428656398410621 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33176345104039445 the lambda is 2.0 the regulation term lambda/alpha is 6.028391595662797 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3500779443658546 the lambda is 2.0 the regulation term lambda/alpha is 5.713013436544485 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30890144055350993 the lambda is 2.0 the regulation term lambda/alpha is 6.474557051000696 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36088809740511946 the lambda is 2.0 the regulation term lambda/alpha is 5.541884075369976 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3110591011742246 the lambda is 2.0 the regulation term lambda/alpha is 6.429646303387849 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3282033727104861 the lambda is 2.0 the regulation term lambda/alpha is 6.093782594258209 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32579313391044523 the lambda is 2.0 the regulation term lambda/alpha is 6.1388647943383745 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32870599181473614 the lambda is 2.0 the regulation term lambda/alpha is 6.084464688210586 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3135508924254485 the lambda is 2.0 the regulation term lambda/alpha is 6.378549856864243 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31892543322539535 the lambda is 2.0 the regulation term lambda/alpha is 6.271058346690502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34555780249645046 the lambda is 2.0 the regulation term lambda/alpha is 5.78774371625003 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33431073555489027 the lambda is 2.0 the regulation term lambda/alpha is 5.98245819620597 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3072663610703858 the lambda is 2.0 the regulation term lambda/alpha is 6.509010595995108 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3383154480350379 the lambda is 2.0 the regulation term lambda/alpha is 5.911642556129653 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3274032642177515 the lambda is 2.0 the regulation term lambda/alpha is 6.10867458752588 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3096038613772483 the lambda is 2.0 the regulation term lambda/alpha is 6.459867751982026 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30139886023206275 the lambda is 2.0 the regulation term lambda/alpha is 6.635725159876502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29491761794220617 the lambda is 2.0 the regulation term lambda/alpha is 6.781554842179459 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3203684968857343 the lambda is 2.0 the regulation term lambda/alpha is 6.242811073628563 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32257403305727655 the lambda is 2.0 the regulation term lambda/alpha is 6.200127087244118 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3184416129770416 the lambda is 2.0 the regulation term lambda/alpha is 6.280586200096255 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35307738402689404 the lambda is 2.0 the regulation term lambda/alpha is 5.664480622320628 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2882642684737297 the lambda is 2.0 the regulation term lambda/alpha is 6.938078071865731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3817712023941999 the lambda is 2.0 the regulation term lambda/alpha is 5.238739819707221 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31552510110231546 the lambda is 2.0 the regulation term lambda/alpha is 6.338639914900017 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29113204258332365 the lambda is 2.0 the regulation term lambda/alpha is 6.869735059917318 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3086347626858494 the lambda is 2.0 the regulation term lambda/alpha is 6.480151433996901 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3200849920869682 the lambda is 2.0 the regulation term lambda/alpha is 6.248340439081233 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34954372266253353 the lambda is 2.0 the regulation term lambda/alpha is 5.721744864321014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2759181020050334 the lambda is 2.0 the regulation term lambda/alpha is 7.248527680737363 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3023850334409157 the lambda is 2.0 the regulation term lambda/alpha is 6.614083961899484 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.301795131425165 the lambda is 2.0 the regulation term lambda/alpha is 6.627012140836779 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3472266391792168 the lambda is 2.0 the regulation term lambda/alpha is 5.759926728915878 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3514390674923637 the lambda is 2.0 the regulation term lambda/alpha is 5.690886941712755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30982653765793156 the lambda is 2.0 the regulation term lambda/alpha is 6.455224962711648 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2901582965837441 the lambda is 2.0 the regulation term lambda/alpha is 6.892789293111837 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31534996591797704 the lambda is 2.0 the regulation term lambda/alpha is 6.342160190752019 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3389632139444005 the lambda is 2.0 the regulation term lambda/alpha is 5.900345281503191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28062390411441807 the lambda is 2.0 the regulation term lambda/alpha is 7.126976607041092 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32603706114285286 the lambda is 2.0 the regulation term lambda/alpha is 6.134271953591502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2824936460400955 the lambda is 2.0 the regulation term lambda/alpha is 7.0798052559247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3278702165148811 the lambda is 2.0 the regulation term lambda/alpha is 6.09997462184622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.310030053474535 the lambda is 2.0 the regulation term lambda/alpha is 6.450987501327107 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33300989721639257 the lambda is 2.0 the regulation term lambda/alpha is 6.005827504581293 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3094033564375397 the lambda is 2.0 the regulation term lambda/alpha is 6.464053987739292 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114370348875001 the lambda is 2.0 the regulation term lambda/alpha is 6.42184382702737 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3446152905074964 the lambda is 2.0 the regulation term lambda/alpha is 5.803573013416519 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3089124207928109 the lambda is 2.0 the regulation term lambda/alpha is 6.474326913974786 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3051980943752105 the lambda is 2.0 the regulation term lambda/alpha is 6.553120864317063 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3611827100634327 the lambda is 2.0 the regulation term lambda/alpha is 5.53736362310574 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3337773532474609 the lambda is 2.0 the regulation term lambda/alpha is 5.992018273682007 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27788158271257113 the lambda is 2.0 the regulation term lambda/alpha is 7.1973103811946935 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34902540080451927 the lambda is 2.0 the regulation term lambda/alpha is 5.7302419691802085 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3804834399576733 the lambda is 2.0 the regulation term lambda/alpha is 5.2564705581469955 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3122710400646663 the lambda is 2.0 the regulation term lambda/alpha is 6.404692537565546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34892560693121255 the lambda is 2.0 the regulation term lambda/alpha is 5.73188083726478 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29585536565615667 the lambda is 2.0 the regulation term lambda/alpha is 6.760059921726759 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31078165384661016 the lambda is 2.0 the regulation term lambda/alpha is 6.435386308186399 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.36479497902590435 the lambda is 2.0 the regulation term lambda/alpha is 5.4825315999154105 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3175971846503436 the lambda is 2.0 the regulation term lambda/alpha is 6.29728504111863 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35084522330643253 the lambda is 2.0 the regulation term lambda/alpha is 5.700519394710914 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31500767341180524 the lambda is 2.0 the regulation term lambda/alpha is 6.349051686069333 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3855325463434915 the lambda is 2.0 the regulation term lambda/alpha is 5.187629472449502 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28451837314327444 the lambda is 2.0 the regulation term lambda/alpha is 7.02942301372173 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32154287193826275 the lambda is 2.0 the regulation term lambda/alpha is 6.220010376669169 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3370860051347914 the lambda is 2.0 the regulation term lambda/alpha is 5.933203899106565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3008617073839497 the lambda is 2.0 the regulation term lambda/alpha is 6.647572459088876 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2631059241132436 the lambda is 2.0 the regulation term lambda/alpha is 7.60150120808066 990 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29585555657344104 the lambda is 2.0 the regulation term lambda/alpha is 6.760055559421391 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30596277939290417 the lambda is 2.0 the regulation term lambda/alpha is 6.536742815477194 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31155858307374296 the lambda is 2.0 the regulation term lambda/alpha is 6.419338476470792 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30404272631532797 the lambda is 2.0 the regulation term lambda/alpha is 6.578022846452723 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3391433196388041 the lambda is 2.0 the regulation term lambda/alpha is 5.897211839909006 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3222766181357454 the lambda is 2.0 the regulation term lambda/alpha is 6.2058489119355995 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.278969511066691 the lambda is 2.0 the regulation term lambda/alpha is 7.169242231355799 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30506399590318933 the lambda is 2.0 the regulation term lambda/alpha is 6.55600145169111 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32898379199180483 the lambda is 2.0 the regulation term lambda/alpha is 6.07932685039335 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3176851769550568 the lambda is 2.0 the regulation term lambda/alpha is 6.295540821795854 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3182221395143787 the lambda is 2.0 the regulation term lambda/alpha is 6.284917834604751 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30458193807759854 the lambda is 2.0 the regulation term lambda/alpha is 6.566377548922349 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2993745540583884 the lambda is 2.0 the regulation term lambda/alpha is 6.680594502396922 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3186414599488372 the lambda is 2.0 the regulation term lambda/alpha is 6.276647114035728 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3242650046308766 the lambda is 2.0 the regulation term lambda/alpha is 6.167794771059793 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3065019268227044 the lambda is 2.0 the regulation term lambda/alpha is 6.525244460067937 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3324912588833825 the lambda is 2.0 the regulation term lambda/alpha is 6.015195727901759 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.275431533672936 the lambda is 2.0 the regulation term lambda/alpha is 7.2613326924829185 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199258837420171 the lambda is 2.0 the regulation term lambda/alpha is 6.251447918520925 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28179698372842055 the lambda is 2.0 the regulation term lambda/alpha is 7.09730804616235 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34287621339609 the lambda is 2.0 the regulation term lambda/alpha is 5.833008887349102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2995442427039336 the lambda is 2.0 the regulation term lambda/alpha is 6.67681001626454 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35437358914614536 the lambda is 2.0 the regulation term lambda/alpha is 5.643761446271862 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3102468931824519 the lambda is 2.0 the regulation term lambda/alpha is 6.446478736610032 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3578596568138731 the lambda is 2.0 the regulation term lambda/alpha is 5.588783093927302 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.26405724703748396 the lambda is 2.0 the regulation term lambda/alpha is 7.574115167973755 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3213029273018005 the lambda is 2.0 the regulation term lambda/alpha is 6.224655395440565 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2966170188821449 the lambda is 2.0 the regulation term lambda/alpha is 6.742701438836392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30116086254876906 the lambda is 2.0 the regulation term lambda/alpha is 6.64096915872037 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3226375964114438 the lambda is 2.0 the regulation term lambda/alpha is 6.198905590188872 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3209863406130999 the lambda is 2.0 the regulation term lambda/alpha is 6.230794731576117 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.279730745000251 the lambda is 2.0 the regulation term lambda/alpha is 7.149732504370248 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30722669376388473 the lambda is 2.0 the regulation term lambda/alpha is 6.509851001218909 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34710577151718697 the lambda is 2.0 the regulation term lambda/alpha is 5.761932425548763 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.301843687618104 the lambda is 2.0 the regulation term lambda/alpha is 6.625946084154731 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3010076941421377 the lambda is 2.0 the regulation term lambda/alpha is 6.644348430029127 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3060820060341202 the lambda is 2.0 the regulation term lambda/alpha is 6.534196589710836 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3527230043271571 the lambda is 2.0 the regulation term lambda/alpha is 5.670171708293126 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3540710427222556 the lambda is 2.0 the regulation term lambda/alpha is 5.64858392435346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3171385835129191 the lambda is 2.0 the regulation term lambda/alpha is 6.306391287512725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2918383568305207 the lambda is 2.0 the regulation term lambda/alpha is 6.853108761030546 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29444499879073893 the lambda is 2.0 the regulation term lambda/alpha is 6.792440042160109 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3491512637368749 the lambda is 2.0 the regulation term lambda/alpha is 5.728176317033832 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3329105794815677 the lambda is 2.0 the regulation term lambda/alpha is 6.007619232511456 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3120924388678518 the lambda is 2.0 the regulation term lambda/alpha is 6.40835775213014 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3144233282589596 the lambda is 2.0 the regulation term lambda/alpha is 6.36085118453042 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28802800774909115 the lambda is 2.0 the regulation term lambda/alpha is 6.9437691689422545 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29798699135611 the lambda is 2.0 the regulation term lambda/alpha is 6.711702383040928 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2778367133765037 the lambda is 2.0 the regulation term lambda/alpha is 7.198472713322622 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3129712404147251 the lambda is 2.0 the regulation term lambda/alpha is 6.390363527810912 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2802785647530409 the lambda is 2.0 the regulation term lambda/alpha is 7.135757961948465 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3206644716796862 the lambda is 2.0 the regulation term lambda/alpha is 6.2370489300661065 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.27952322439492505 the lambda is 2.0 the regulation term lambda/alpha is 7.155040531352397 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3537112241434086 the lambda is 2.0 the regulation term lambda/alpha is 5.654330039549778 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29717577075865853 the lambda is 2.0 the regulation term lambda/alpha is 6.730023766386506 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32347155482007683 the lambda is 2.0 the regulation term lambda/alpha is 6.182923877533687 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33848005234347983 the lambda is 2.0 the regulation term lambda/alpha is 5.908767698873012 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128443954500412 the lambda is 2.0 the regulation term lambda/alpha is 6.392954545734812 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33606745082168205 the lambda is 2.0 the regulation term lambda/alpha is 5.951186272606934 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31284022329986444 the lambda is 2.0 the regulation term lambda/alpha is 6.393039804484971 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32721238759096216 the lambda is 2.0 the regulation term lambda/alpha is 6.112238032076392 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3114130865543625 the lambda is 2.0 the regulation term lambda/alpha is 6.422337680567787 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3590007569166055 the lambda is 2.0 the regulation term lambda/alpha is 5.5710188947166825 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3637085153873222 the lambda is 2.0 the regulation term lambda/alpha is 5.498908921255667 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3166678677625426 the lambda is 2.0 the regulation term lambda/alpha is 6.315765518400261 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29905902501867826 the lambda is 2.0 the regulation term lambda/alpha is 6.687643015873159 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32034952051805904 the lambda is 2.0 the regulation term lambda/alpha is 6.243180875581346 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3280138133570051 the lambda is 2.0 the regulation term lambda/alpha is 6.097304194391446 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2974179104085978 the lambda is 2.0 the regulation term lambda/alpha is 6.724544588630746 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28702031709183956 the lambda is 2.0 the regulation term lambda/alpha is 6.968147831012424 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31047128321467327 the lambda is 2.0 the regulation term lambda/alpha is 6.4418196082151455 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34849436490206864 the lambda is 2.0 the regulation term lambda/alpha is 5.738973715004045 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3199151219046231 the lambda is 2.0 the regulation term lambda/alpha is 6.251658215132024 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3795456021701615 the lambda is 2.0 the regulation term lambda/alpha is 5.269459028281247 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33959599163386556 the lambda is 2.0 the regulation term lambda/alpha is 5.88935102083388 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3043806054373799 the lambda is 2.0 the regulation term lambda/alpha is 6.570720881266725 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2996243188996165 the lambda is 2.0 the regulation term lambda/alpha is 6.675025603212343 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3383461548781588 the lambda is 2.0 the regulation term lambda/alpha is 5.911106040853978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32114603636754185 the lambda is 2.0 the regulation term lambda/alpha is 6.227696354661095 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.29779229325485507 the lambda is 2.0 the regulation term lambda/alpha is 6.716090527864568 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3189615054343645 the lambda is 2.0 the regulation term lambda/alpha is 6.270349135944737 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3132622263902498 the lambda is 2.0 the regulation term lambda/alpha is 6.384427586581978 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33895723296999575 the lambda is 2.0 the regulation term lambda/alpha is 5.900449394384331 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.31508298331416573 the lambda is 2.0 the regulation term lambda/alpha is 6.347534160566908 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.33199457161075474 the lambda is 2.0 the regulation term lambda/alpha is 6.024194884562418 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.34755657143612234 the lambda is 2.0 the regulation term lambda/alpha is 5.754458883444191 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.28735721222480964 the lambda is 2.0 the regulation term lambda/alpha is 6.959978434212153 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32816341587263664 the lambda is 2.0 the regulation term lambda/alpha is 6.094524566919486 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2840015495771785 the lambda is 2.0 the regulation term lambda/alpha is 7.042215096986618 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3012336144070068 the lambda is 2.0 the regulation term lambda/alpha is 6.639365277799752 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3281885970263017 the lambda is 2.0 the regulation term lambda/alpha is 6.094056948114245 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.350793417166938 the lambda is 2.0 the regulation term lambda/alpha is 5.7013612631397415 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.32375351305062516 the lambda is 2.0 the regulation term lambda/alpha is 6.177539144377596 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.35021910519602684 the lambda is 2.0 the regulation term lambda/alpha is 5.710710724592102 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30502284735324064 the lambda is 2.0 the regulation term lambda/alpha is 6.556885877089205 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.30976994404208397 the lambda is 2.0 the regulation term lambda/alpha is 6.456404304118959 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3447597717484993 the lambda is 2.0 the regulation term lambda/alpha is 5.80114086355467 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.2922098168834826 the lambda is 2.0 the regulation term lambda/alpha is 6.8443970203694136 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.3128510658874572 the lambda is 2.0 the regulation term lambda/alpha is 6.392818238693378 using Bay_info_prior_fixed_lambda_fit_alpha option for model regressor Convergence after 3 iterations the alpha is 0.37875795234661247 the lambda is 2.0 the regulation term lambda/alpha is 5.280417183610027 1000
In [22]:
n=10 #number of samples
inconsistency_full_info_prior=np.array([])
ken_w_full_info_prior=np.array([])
while n<=1000:
k=100#number of explanations
m=13# number of features
i=1
instance=3
explanations=np.array([])
while i<=k:
exp = explainer.explain_instance(test[instance], rf.predict,#num_features=13,
model_regressor='Bay_info_prior',
num_samples=n)#'non_Bay' 'Bay_non_info_prior' 'Bay_info_prior' 'BayesianRidge_inf_prior_fit_alpha'
alpha_init=1
lambda_init=1
with open('.\posterior_configure.csv') as csv_file:
csv_reader=csv.reader(csv_file)
line_count = 0
for row in csv_reader:
if line_count == 1:
alpha_init=float(row[0])
lambda_init=float(row[1])
line_count=line_count+1
exp=calculate_posteriors.get_posterior(exp,hyper_para_alpha=alpha_init, hyper_para_lambda=lambda_init,
label=1)
temp_list=exp.as_list()
temp_array = np.array(temp_list)
explanations=np.append(explanations,temp_array)
i=i+1
exps=explanations.reshape(k,2*m)# k exps, 13 features for this instance..
for exp in exps:
#print(exp)
i=1
temp_vector=np.array([])
while i<=(2*m-1):
temp_vector=np.append(temp_vector,float(exp[i]))
i=i+2
#print(temp_vector)
normlised_temp_vector=temp_vector/np.linalg.norm(temp_vector)
#print(normlised_temp_vector)
i=1
while i<=(2*m-1):
exp[i]=normlised_temp_vector[math.floor(i/2)]
i=i+2
feature_names=np.array([])
i=0
while i<=(2*m-1):
feature_names=np.append(feature_names,exps[0,i])
i=i+2
g_i_s=np.array([])
f_i_s=np.array([])
for feature in feature_names:
g_i=importance_in_k_exp(feature,exps)
f_i=rankings_in_k_exp(feature,exps)
g_i_s=np.append(g_i_s,g_i)
f_i_s=np.append(f_i_s,f_i)
g_i_s=g_i_s.reshape(m,k)
f_i_s=f_i_s.reshape(m,k)
IoD_f_i_s=np.array([])
for f_i in f_i_s:
if np.mean(f_i)==0:
IoD_f_i=0
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
else:
IoD_f_i=np.var(f_i)/np.mean(f_i)
IoD_f_i_s=np.append(IoD_f_i_s,IoD_f_i)
weights_g_i_s=np.array([])
for g_i in g_i_s:
weight=np.mean(abs(g_i.astype(np.float)))
weights_g_i_s=np.append(weights_g_i_s,weight)
weights_g_i_s=weights_g_i_s/sum(weights_g_i_s)
inconsistency_full_info_prior=np.append(inconsistency_full_info_prior,np.dot(weights_g_i_s,IoD_f_i_s))
ken_w_full_info_prior=np.append(ken_w_full_info_prior,kendall_w(f_i_s.T))
print(n)
n=n+10
using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 10 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 20 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 30 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 40 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 50 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 60 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 70 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 80 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 90 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 100 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 110 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 120 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 130 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 140 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 150 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 160 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 170 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 180 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 190 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 200 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 210 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 220 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 230 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 240 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 250 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 260 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 270 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 280 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 290 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 300 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 310 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 320 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 330 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 340 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 350 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 360 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 370 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 380 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 390 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 400 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 410 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 420 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 430 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 440 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 450 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 460 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 470 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 480 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 490 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 500 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 510 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 520 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 530 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 540 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 550 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 560 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 570 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 580 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 590 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 600 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 610 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 620 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 630 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 640 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 650 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 660 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 670 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 680 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 690 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 700 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 710 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 720 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 730 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 740 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 750 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 760 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 770 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 780 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 790 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 800 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 810 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 820 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 830 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 840 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 850 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 860 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 870 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 880 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 890 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 900 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 910 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 920 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 930 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 940 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 950 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 960 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 970 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 980 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 990 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 using Bay_info_prior option for model regressor the alpha is 0.1 the lambda is 2.0 the regulation term lambda/alpha is 20.0 1000
In [23]:
import matplotlib.pyplot as plt
x_index=np.array([])
i=10
while i<=1000:
x_index=np.append(x_index,i)
i=i+10
plt.plot(x_index,inconsistency_non_Bay,linestyle='-',color='red',label='LIME')
plt.plot(x_index,inconsistency_non_info,linestyle='-',color='green',label='BayLIME with non-informative priors')
plt.plot(x_index,inconsistency_info_prior_fit_alpha,linestyle='-',color='blue',label=r'BayLIME with partial informative priors ($\lambda=2$)')
plt.plot(x_index,inconsistency_full_info_prior,linestyle='-',color='orange',label=r'BayLIME with full informative priors ($\alpha=0.1,\lambda=2$)')
plt.legend(loc='upper right',fontsize=10)#bbox_to_anchor=(1,1)
#plt.axis([10, 300, 0,10])# set the ranges of axis
plt.xlabel('$n$')
plt.ylabel('inconsistency')
plt.grid(True)
plt.show()
In [24]:
plt.plot(x_index,ken_w_non_Bay,linestyle='-',color='red',label='LIME')
plt.plot(x_index,ken_w_non_info,linestyle='-',color='green',label='BayLIME with non-informative priors')
plt.plot(x_index,ken_w_info_prior_fit_alpha,linestyle='-',color='blue',label=r'BayLIME with partial informative priors ($\lambda=2$)')
plt.plot(x_index,ken_w_full_info_prior,linestyle='-',color='orange',label=r'BayLIME with full informative priors ($\alpha=0.1,\lambda=2$)')
plt.legend(fontsize=10)#bbox_to_anchor=(1,1) ,loc='upper right'
#plt.axis([10, 300, 0,10])# set the ranges of axis
plt.xlabel('$n$')
plt.ylabel('Kendall’s W')
plt.grid(True)
plt.show()
In [ ]: